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<h3>Job Description</h3>
Job Description
We are seeking freelancers/consultants for on site IT Support in the Boston, MA area to join our team!
As a team member, you will assist our clients with resolving a range of computer-related issues and/or provide on-site support as needed.
Responsibilities:
<ul>
<li>Installation of workstations.</li>
<li>End-user support for executives, office personnel, and other key business stakeholders; this could include installation and configuration of hardware and software applications, as well as some security functions such as password resets, etc.</li>
<li>Experience with copying/restoring end user data files, migrating Windows 7 to Windows 10 utilizing tools such as Azure, SCCM, PXE boot, etc.</li>
<li>Basic networking, rack/stack/patch, remote hands support, etc.</li>
<li>Experience working with AD (active directory), domains, group policy, etc.</li>
<li>E-mail, A/V conferencing, VoIP device replace and configuration.</li>
<li>Support of enterprise solutions including Microsoft Office365, Exchange email, Anti-Virus software, etc.</li>
<li>Provide timely and efficient executive-level support.</li>
<li>Provide technical support on commonly used applications and devices (MFD network printers, O365 Applications, etc.)</li>
</ul>
Requirements:
<ul>
<li>5+ years support experience in an enterprise environment using Windows and some Apple/Mac hardware.</li>
<li>Application support for Microsoft Office365, Document Management, SharePoint Online and Exchange Online.</li>
<li>Working knowledge of Azure, Intune, and other cloud based services.</li>
<li>Operating Systems: Windows Server, Mac OS X (Server/Workgroup Manager), iOS and Windows 7 through 10.</li>
<li>Xerox, Canon, HP printer installation, local/network configuration and print management.</li>
<li>Excellent verbal and written communication skills.</li>
<li>Ability to effectively operate independently as well as in a team environment.</li>
<li>Ability to lift heavy objects up to 50 lbs.</li>
</ul>
We Offer:
<ul>
<li>Flexible work schedule! Hours/Shifts are on-demand - we'll work with your schedule &amp; availability!</li>
<li>Competitive compensation and 2hrs. minimum pay on all assignments.</li>
<li>Job related expense reimbursement.</li>
</ul>
Apply Today!
Company DescriptionTechmate is a pioneering On-Demand, Technical Support Platform built for the distributed workforce. Our clients are some of the largest professional service firms, manufacturing, real estate and related brick and mortar companies who have nationwide and global office locations. 
<h3>Company Description</h3>
Techmate is a pioneering On-Demand, Technical Support Platform built for the distributed workforce. Our clients are some of the largest professional service firms, manufacturing, real estate and related brick and mortar companies who have nationwide and global office locations.

On Demand IT Support - Freelance/Consultant

<h3>Job Description</h3>
Job Description
Senior Data Engineer - Data Infrastructure and Architecture: C-4 Analytics
The ideal candidate understands the benefits of in-person teamwork and is available to work from our office a minimum of three days per week C-4 Analytics is a fast-growing, private, full-service digital marketing company that excels at helping automotive dealerships increase sales, increase market share, and lower cost per acquisition. C-4 Analytics is committed to developing innovative solutions for every dealer in every market and to providing the highest levels of accountability and customer service. We are currently hiring for a Senior Data Engineer as we look to expand our team and support our growing roster of local and national clients.
If you are unable to complete this application due to a disability, contact this employer to ask for accommodation or an alternative application process.
Who We're Looking For: Senior Data Engineer&nbsp;
Data Alchemy: Forging Insights from Information C-4 Analytics is looking for an Experienced Senior Data Engineer with expertise in data infrastructure and architecture to help shape the future of our data-driven digital marketing platforms. As a part of our growing Product, Engineering, and AI team, you’ll play a critical role in identifying and bringing together our diverse data sources and orchestrating intelligent systems. We need you to lead with an AI-forward mindset—designing and managing pipelines, platforms, and orchestration technologies that transform information into actionable insights.
We're not just processing data—we're transforming it into organizational intelligence. As our Data Engineering Virtuoso, you'll build enterprise-grade AI pipelines, turning unstructured data into decision-making gold by creating intelligent data platforms at scale.
Illuminate the Future of Marketing Intelligence The ideal candidate will have a strong background in ETL/ELT pipelines, data warehouse connectivity, data cleaning, normalization, database architecture, database optimization, and orchestration processes. This role will be responsible for orchestrating and delivering enterprise-grade AI pipelines. Connecting disparate data sources to Snowflake (our data warehouse), ensuring the cleanliness and normalization of data, and implementing database architecture best practices.
Your Canvas
<ul>
<li>Prototype the Impossible&nbsp;&nbsp;
<ul>
<li>Design, develop, and maintain proof-of-concepts using cutting-edge technologies, then refine them into production-ready solutions.&nbsp;</li>
</ul>
</li>
<li>Empower Through Innovation&nbsp;&nbsp;
<ul>
<li>Craft intuitive tools that elevate data scientists and analysts to their highest potential</li>
<li>Collaborate with cross-functional teams to ensure that data storage and organization align with business needs and objectives.</li>
</ul>
</li>
<li>Seamless Scaling &amp; Performance Optimization
<ul>
<li>Implement database architecture best practices, including database sharding, replication strategies, indexing, and optimization techniques to enhance data performance.</li>
</ul>
</li>
<li>Compose Data Symphonies&nbsp;&nbsp;
<ul>
<li>Orchestrate enterprise-grade AI pipelines for complex data flows that bring harmony to disparate sources through batch and streaming pipelines</li>
<li>Evaluate and optimize data storage and retrieval systems based on relationships, data access patterns, cost-effectiveness, and performance requirements.</li>
</ul>
</li>
<li>Blueprint Before Building&nbsp;&nbsp;
<ul>
<li>Design elegant solutions and document your vision so others can follow your path</li>
<li>Provide leadership and guidance on information architecture decisions, ensuring that data is stored, organized, and accessed in the most efficient and effective manner.</li>
</ul>
</li>
</ul>
Your Toolkit
<ul>
<li>The Languages You Speak: Python, SQL, the dialect of data</li>
<li>Libraries | Tools: Terraform, Flask, Pandas, FastAPI, Dagster, GraphQL, SQLAlchemy, GitLab, Athena</li>
<li>Your Trusted Companions: Docker, Snowflake, MongoDB, Relational Databases (eg MySQL, PostgreSQL), Dagster, Airflow/Luigi, Spark, Kubernetes</li>
<li>Your AWS Kingdom: Lambda, Redshift, EC2, ELB, IAM, RDS, Route53, S3—the building blocks of cloud mastery</li>
<li>Your Philosophy: Continuous integration/deployments, (CI/CD) automation, rigorous code reviews, documentation as communication</li>
</ul>
Preferred Qualifications
<ul>
<li>Familiar with data manipulation and experience with Python libraries like Flask, FastAPI, Pandas, PySpark, PyTorch, to name a few…</li>
<li>Proficiency in statistics and/or machine learning libraries like NumPy, matplotlib, seaborn, scikit-learn, etc.</li>
<li>Experience in building ETL/ELT processes and data pipelines with platforms like Airflow, Dagster, or Luigi</li>
</ul>
What's important for us:
<ul>
<li>Academically Grounded: Bachelor's or Master's degree in Computer Science, Data Engineering, or related field.</li>
<li>Seasoned Practitioner: 5+ years of experience in data engineering, with a focus on data infrastructure, architecture, and database management.</li>
<li>Code Craftsperson: Fluent in Python and SQL, expressing complex logic with elegant simplicity</li>
<li>Database Strategist: Understanding when to deploy relational, vector, graph, or document data models. Strong understanding of database architecture principles, including sharding, replication, indexing, and optimization techniques.</li>
<li>Data Driven: Proficiency in designing and developing ETL/ELT pipelines for data integration and transformation.</li>
<li>Cloud Navigator: Confidently guiding projects through the AWS ecosystem and hands-on experience with Snowflake or similar cloud-based data warehouse platforms.</li>
<li>Dynamic Collaborator: Adept Problem-Solver with keen attention to detail. Excellent problem-solving skills, attention to detail, and the ability to work in a fast-paced, collaborative environment. Your data and pipelines will directly power our most core platforms that our client teams rely on to make million-dollar decisions.”</li>
<li>Infrastructure Poet – Expressing infrastructure needs as clear, reproducible code. Packaging or containerizing applications for consistency across environments. Knowledge of information architecture best practices, data modeling, and data governance.</li>
<li>Question Seeker – Finding the right questions that others haven't thought to ask.&nbsp;</li>
</ul>
Brownie Points
<ul>
<li>Visualization Artist – Creating compelling visual narratives from complex data patterns</li>
<li>Statistical Thinker – Grounding engineering decisions in mathematical rigor</li>
<li>Framework Explorer – Experience with web frameworks that extend data's utility</li>
<li>Security Mindful – Navigating enterprise security with confidence and care</li>
</ul>
Compensation:
We offer a competitive compensation commensurate with experience and qualifications. The salary range for this position is $120,000.00 - $180,000.00. The final salary will be determined based on factors such as skills, knowledge, and demonstrated expertise.
Please note that the stated salary range is flexible and negotiable based on individual qualifications and fit for the role. We encourage candidates to discuss their salary expectations during the interview process.
Flexibility:
We have a strong preference for this position to reside in our Wakefield, MA office. The Senior Data Engineer may benefit from the flexibility to work in a way that suits them best. We offer the following working options:
<ul>
<li>Office-Based: Our modern and well-equipped office space provides a collaborative environment where you can work closely with your team, engage in face-to-face interactions, and foster a sense of community.</li>
<li>Hybrid: For those who prefer a balance between office and remote work, we offer a hybrid model. This allows you to divide your time between working in the office and remotely, providing the best of both worlds.</li>
</ul>
Working at C-4 Analytics
We provide our employees with a range of benefits, including career development programs, unlimited paid time off, and additional perks. All are welcome to visit our careers and culture page for more details.&nbsp; What our Employees Say:
Want to know what makes working at C-4 Analytics so rewarding? Take it from the true experts: our current teammates. Recent surveys about our workplace and culture suggest that our staff loves:&nbsp;
<ul>
<li>The People: It's not just a cliché; we have the best, hungriest and smartest team in the business.</li>
<li>The Culture: Teamwork. Camaraderie. Perseverance. We hire for these traits, and it shows.</li>
<li>The Growth: We place a real emphasis on training, development and career planning.</li>
<li>The Trust: Our managers empower their people and teams to thrive in their own ways.</li>
<li>The Challenge: We work in a competitive industry and a dynamic field. You'll never be bored!</li>
</ul>
In-Office Perks
<ul>
<li>Accelerated Growth via Osmosis and Coaching: Learn sales strategies and industry knowledge naturally by hearing colleagues handle calls and receive instant feedback and hands-on guidance from your manager and colleagues during in-person weekly one-on-ones.</li>
<li>Boosted Visibility and Networking: Build strong connections with your team, leaders, and mentors, increasing your visibility within the organization, which can lead to more opportunities for career advancement.</li>
<li>Soft Skills Mastery: Develop crucial soft skills in a group setting, such as communication, problem-solving, and teamwork, which are essential for long-term professional success.</li>
<li>Knowledge Transfer and Expertise: Benefit from informal knowledge sharing and mentorship, ensuring constant access to the information and guidance needed to become an expert in the automotive world.</li>
<li>Spark Innovation and Collaboration: Physical proximity facilitates spontaneous discussions and brainstorming sessions that spark innovative and creative solutions to problems.</li>
<li>Enjoy Daily Perks and Wellness: Fuel your day with cold brew on tap, free beverages, and a stocked snack pantry. Additionally, enjoy free weekly lunch and monthly wellness events like Yoga and Paint &amp; Sip.</li>
<li>Structured Work-Life Balance: Our Monday through Friday, 9:00 am to 5:30 pm schedule helps you separate work from home, reducing the risk of burnout.</li>
</ul>
More About C-4 Analytics
C-4 Analytics takes the guesswork out of advertising. We don’t over-promise: we over-deliver. We provide real value to our clients because we really value them as partners. We love Google and Facebook, but also love Instagram and Bing. We innovate, educate, and instigate. We are forward-thinking, but we learn from the past. We are results-driven, and our strategies drive results. We love the practical applications of psychology to marketing, but we aren’t above a good practical joke. We are team players, but we love to crush our competitors. We create an environment of respect, and we respect the environment. We are the brains and the good looks. We are very humble. We are nerds, but cool, likable nerds. We are never gonna give you up. Never gonna let you down. We are all work and all play. We calculated that only 15.8% of visitors who started this paragraph would actually read this far down. We are C-4 Analytics.
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PWjoJTvPSQ

Senior Data Engineer - Data Infrastructure and Architecture

<h3>Job Description</h3>
Job DescriptionCompany Overview Rhythm is a global, commercial-stage biopharmaceutical company committed to transforming the lives of patients and their families living with rare neuroendocrine diseases. We develop medicines for previously untreatable or undertreated diseases and provide meaningful support for healthcare providers and patients and their families. We recognize the courage it takes for patients and their caregivers to begin their journey of advocacy to find the answers they need. Their courage inspires us to challenge convention, ask bold questions and seek answers for them. Every day, we strive for excellence through our willingness to adapt, learn, and our tenacity to overcome barriers, together. Job Summary We are seeking a highly motivated and experienced Director of Data Science to lead data-driven initiatives in support of our clinical, regulatory, and scientific objectives. The successful candidate will have a strong background in biostatistics, genetics, and data analytics, and will be responsible for developing and implementing advanced data models, predictive tools, and integrative analyses across the obesity and metabolic disease therapeutic area. This role will work collaboratively with key inter-disciplinary stakeholders (e.g. biostatistics, clinical development and regulatory affairs) to drive the generation of actionable data insights to support enterprise-wide goals and initiatives. This position offers the opportunity to shape data strategy at a growing biotech and directly impact research, development, and regulatory decision-making. Responsibilities and Duties
<ul>
<li>Lead the design, development, and implementation of data analysis pipelines, predictive models, and statistical frameworks to support research, clinical, and regulatory programs.</li>
<li>Partner cross-functionally with Biostatistics, Clinical, Regulatory, and Market Access teams to ensure data insights align with organizational priorities.</li>
<li>Oversee data processing, curation, and integration from clinical trials, biomarker studies, and external datasets.</li>
<li>Translate complex data outputs into actionable insights to inform publications, protocol development, and regulatory submissions.</li>
<li>Ensure data quality, reproducibility, and compliance with company and industry standards.</li>
<li>Provide scientific and technical leadership for the use of statistical genetics, machine learning, and advanced analytics in biomarker and outcomes research.</li>
<li>Mentor and guide junior scientists and analysts in the use of SQL, Python, and R for statistical modeling, data visualization, and automation.</li>
<li>Collaborate with internal and external stakeholders to drive innovation in data science applications and contribute to the company’s broader data strategy.</li>
</ul>
 Qualifications and Skills
<ul>
<li>Ph.D. in Biostatistics, Computational Biology, Genetics, Data Science, or related quantitative field.</li>
<li>8+ years&nbsp;of industry experience in biotechnology, pharmaceuticals, or healthcare analytics, with demonstrated leadership in cross-functional projects.</li>
<li>Experience with obesity/metabolic-related biology and datasets</li>
<li>Strong programming and data manipulation skills in SQL, Python, and R.</li>
<li>Proven expertise in biostatistics, statistical genetics, and predictive modeling.</li>
<li>Experience integrating and analyzing clinical trial and biomarker datasets.</li>
<li>Experience handling population-scale genomics datasets (e.g., UKB, AoU); familiarity with the ACMG classification system; statistical analysis of rare variants. </li>
<li>Familiarity with real-world data, electronic medical records, omics analysis, and data visualization platforms.</li>
<li>Excellent communication skills with the ability to translate data findings into strategic insights for diverse stakeholders.</li>
<li>Demonstrated ability to work independently, prioritize effectively, and deliver high-quality results under deadlines.</li>
<li>Track record of innovation, scientific rigor, and collaboration across multidisciplinary teams.</li>
<li>Leadership experience in a matrixed environment or managing small teams.</li>
</ul>
 This role is based out of our corporate office in Boston, Massachusetts. Rhythm operates in a hybrid-work model. Candidates applying must be willing and able to be in the Boston office in coordination with their department and business needs. This role may involve&nbsp;some travel. The expected salary range for this position is $182,000 - $275,000. Actual pay will be determined based on experience, level, qualifications, geographic location, and other job-related factors permitted by law. A discretionary annual bonus may be available based on individual and company performance. This role may be eligible for benefits and other compensation such as restricted stock units. More about Rhythm We are a dynamic and growing global team spanning more than a dozen countries. At Rhythm we are dedicated to transforming the lives of patients living with rare neuroendocrine diseases by rapidly advancing care and precision medicines that address the root cause.&nbsp; Our team is passionate about&nbsp;expanding access to reach more patients and developing novel therapies for other rare neuroendocrine diseases, including congenital hyperinsulinism. At Rhythm our core values are:
<ul>
<li>We are committed to advancing scientific understanding to improve patients’ lives</li>
<li>We are inspired to tackle tough challenges and have the courage to ask bold questions</li>
<li>We are eager to learn and adapt</li>
<li>We believe collaboration and ownership are foundational for our success</li>
<li>We value the unique contribution each individual brings to furthering our mission</li>
</ul>
 Rhythm is an equal employment opportunity employer and does not discriminate against any applicant because of race, creed, color, age, national origin, ancestry, religion, gender, sexual orientation, disability, genetic information, veteran status, military status, application for military service, or any other class protected by state or federal law. Headquartered in Boston, Rhythm is proud to have been named one of the Top Places to Work in Massachusetts. &nbsp;
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ntgvSgLhU4

Director, Data Science

<h3>Job Description</h3>
Job Description
***Only qualified Snowflake Developer candidates located in the Boston, MA area will be considered due to the position requiring an onsite presence***
Required Education:
• At a minimum, a bachelor’s degree in computer science, Information Technology, or a related field
Desired Certification:
• Snowflake certification (e.g., SnowPro Core or Advanced Certification)
Required Skills:
• 5+ years of experience in data architecture, data engineering, or database development
• 2+ years of hands-on experience with Snowflake, including data modeling, performance tuning, and security
• Experience or exposure to AI tools
• Deep understanding of data warehousing concepts, dimensional modeling, and analytics
• Excellent problem-solving and communication skills
• Strong proficiency in Snowflake architecture, features, and capabilities
• Knowledge of SQL and Snowflake-specific query optimization
• Experience with ETL tools and data integration processes
• Strong proficiency in SQL and Python
• Strong Database design and data modelling experience. Experience with data modeling tools
• Ability to identify and drive continuous improvements
• Strong problem solving and analytical skills
• Demonstrated process-oriented and strategic thinking skills
• Strong motivation and a desire to continuously learn and grow
• Knowledge of Snowflake security features including access control, authentication, authorization, encryption, masking, secure view, etc
• Experience working in AWS cloud environments
• Experience working with Power BI and other BI, data visualization, and reporting tools
• Business requirement gathering and aligning to solutions delivery
• Experience with data integration solutions and tools, data pipelines, and modern ways of automating data using cloud based and on-premises technologies
Desired Skills:
• Experience integrating Snowflake with an identity and access management program such as Azure IDP is a plus
• Experience with source control tools (GitHub preferred), ETL/ELT tools and cloud platforms (AWS preferred)
• Experience with other relational database management systems, cloud data warehouses and big data platforms is a plus
• Experience with data visualization tools (e.g., Power BI)
• Experience integrating Snowflake with BI and reporting tools is a plus
• Knowledge of technical areas such as T-SQL, DevOps, and scripting
Client is seeking a highly skilled, experienced and motivated Snowflake Architect/Developer to join our team. The ideal candidate will have deep experience with Snowflake, data modeling, ETL/ELT processes, and cloud data architecture. You will work closely with the Snowflake architecture team to deliver scalable, high-performance solutions that meet business analytics and reporting requirements. This role requires a deep understanding of Snowflake’s features and best practices, as well as strong problem-solving skills and the ability to work collaboratively with cross-functional teams
Job Responsibilities:
• Performance Tuning: Monitor and optimize performance, including query performance, resource utilization, and storage management
• User and Access Management: Manage user access, roles, and permissions to ensure data security and compliance with organizational policies
• Data Integration: Support and manage data integration processes, including data loading, transformation, and extraction
• Troubleshooting and Support: Provide technical support and troubleshooting for Snowflake-related issues, including resolving performance bottlenecks and query optimization
• Documentation and Reporting: Maintain detailed documentation of system configurations, procedures, and changes. Generate and deliver regular reports on system performance and usage
• Collaboration: Work closely with data engineers, analysts, and other IT professionals to ensure seamless integration and optimal performance of the Snowflake environment
• Best Practices: Stay up to date with Snowflake best practices and industry trends. Recommend and implement improvements and upgrades to enhance system functionality and performance
Interview Process: Initial contact by video or in person. Final interview in person, face-to-face

Snowflake developer

<h3>Job Description</h3>
Job Description
Location: Boston (Hybrid) Reports to: Head of Engineering Type: Full-time
About AdeptID
AdeptID is building an AI-first staffing company. Over five years, we've built a talent-matching engine that powers 10 million job recommendations every month for major HR technology platforms. We're now using that technology to support an end-to-end staffing firm for the healthcare sector – focused on solving healthcare talent shortages with AI. We're backed by top investors and poised to 10x our footprint by 2027.
Role Overview
We're seeking a mid-level or senior Data Engineer to build and evolve the data backbone of AdeptID's AI-first staffing platform. Our systems process millions of talent and job records monthly, ensuring that data is reliable, high-quality, and secure.
You'll design production data pipelines, automate manual workflows, and work closely with software and data science teams to make machine-learning models production-ready. This hands-on role combines immediate impact with long-term growth: you'll deepen your expertise in modern data infrastructure while gaining experience in MLOps, AI data pipelines, and infrastructure-as-code on AWS – all in a supportive, learning-oriented environment that values curiosity and shared success.
If you're motivated by solving data challenges at scale and excited to build and learn about high-performing AI systems, you'll thrive here.
Responsibilities
<ul>
<li>Design, build, and maintain scalable ETL and data pipelines in Python on AWS</li>
<li>Automate manual data workflows to improve repeatability and speed</li>
<li>Monitor and optimize pipelines for reliability, latency, and data quality</li>
<li>Create code, systems, and policies for handling sensitive/PII information at scale</li>
<li>Develop and maintain data environments with infrastructure-as-code on AWS</li>
<li>Contribute to observability and performance monitoring – defining metrics and dashboards that highlight system health</li>
<li>Partner with data scientists and ML engineers to develop data flows powering model training, evaluation, and inference</li>
<li>Collaborate in reviews and design discussions to help set standards for data-engineering best practices</li>
<li>Document schemas, transformations, and data lineage for transparency and maintainability</li>
</ul>
Qualifications
<ul>
<li>3–7 years of experience as a Data Engineer or related backend-engineering role focused on data systems</li>
<li>Exposure to or interest in MLOps-model deployment, feature pipelines, and reproducible training environments</li>
<li>Hands-on experience with AWS data technologies (S3, Glue, Lambda, Redshift, Athena, Step Functions, or similar)</li>
<li>Familiarity with data-orchestration tools such as Airflow, Prefect, or Dagster</li>
<li>Understanding of data modeling, storage optimization, and schema design for analytics or ML workloads</li>
<li>Experience with operational monitoring of data environments and workflows</li>
</ul>
Next Steps
Well-qualified candidates will be invited to submit short responses to a set of screening questions and meet with a member of the hiring team.

Data Engineer - AI-First Staffing Platform

<h3>Job Description</h3>
Job Description
About Care Access
Care Access is working to make the future of health better for all. With hundreds of research locations, mobile clinics, and clinicians across the globe, we bring world-class research and health services directly into communities that often face barriers to care. We are dedicated to ensuring that every person has the opportunity to understand their health, access the care they need, and contribute to the medical breakthroughs of tomorrow.
With programs like Future of Medicine, which makes advanced health screenings and research opportunities accessible to communities worldwide, and Difference Makers, which supports local leaders to expand their community health and wellbeing efforts, we put people at the heart of medical progress. Through partnerships, technology, and perseverance, we are reimagining how clinical research and health services reach the world. Together, we are building a future of health that is better and more accessible for all.
To learn more about Care Access, visit <a href="http://www.CareAccess.com" target="_blank">www.CareAccess.com</a>.
How This Role Makes a Difference
We are seeking an experienced and detail-oriented professional to join our team as a Sr. Data Engineer. In this pivotal role, you will be responsible for designing, developing, and maintaining robust data pipelines that ensure the reliable ingestion, transformation, and delivery of complex data (demographics, medical, financial, marketing, etc.) across systems. The ideal candidate will bring deep expertise in Databricks, SQL, and modern data engineering practices, along with strong collaboration skills to help drive excellence across our data infrastructure. 
How You'll Make An Impact
Data Engineering Strategy and Architecture:  
<ul>
<li>Design and implement scalable, reliable, and efficient data pipelines to support clinical, operational, and business needs.  </li>
<li>Develop and maintain architecture standards, reusable frameworks, and best practices across data engineering workflows. </li>
<li>Build automated systems for data ingestion, transformation, and orchestration leveraging cloud-native and open-source tools.  </li>
</ul>
Data Infrastructure and Performance Optimization:  
<ul>
<li>Optimize data storage and processing in data lakes and cloud data warehouses (Azure, Databricks).  </li>
<li>Develop and monitor batch and streaming data processes to ensure data accuracy, consistency, and timeliness.  </li>
<li>Maintain documentation and lineage tracking across datasets and pipelines to support transparency and governance.  </li>
</ul>
Collaboration and Stakeholder Engagement: 
<ul>
<li>Work cross-functionally with analysts, data scientists, software engineers, and business stakeholders to understand data requirements and deliver fit-for-purpose data solutions.  </li>
<li>Review and refine work completed by other team members, ensuring quality and performance standards are met.  </li>
<li>Provide technical mentorship to junior team members and collaborate with contractors and third-party vendors to extend engineering capacity</li>
</ul>
Technology and Tools: 
<ul>
<li>Use Databricks, DBT, Azure Data Factory, and SQL to architect and deploy robust data engineering solutions.  </li>
<li>Integrate APIs, structured/unstructured data sources, and third-party systems into centralized data platforms.  </li>
<li>Evaluate and implement new technologies to enhance the scalability, observability, and automation of data operations. </li>
</ul>
Other Responsibilities:
<ul>
<li>Continuous Improvement: Proactively suggest improvements to infrastructure, processes, and automation to improve system efficiency, reduce costs, and enhance performance. </li>
</ul>
The Expertise Required
<ul>
<li>Strong expertise in Databricks, SQL, dbt, Python, and cloud data ecosystems such as Azure.  </li>
<li>Experience working with structured and semi-structured data from diverse domains.  </li>
<li>Familiarity with CI/CD pipelines, orchestration tools (e.g., Airflow, Azure Data Factory), and modern software engineering practices.  </li>
<li>Strong analytical and problem-solving skills, with the ability to address complex data challenges and drive toward scalable solutions. </li>
</ul>
Certifications/Licenses, Education, and Experience:
<ul>
<li>Bachelor's or master's degree in computer science, Information Systems, Engineering, or a related field.  </li>
<li>5+ years of experience in data engineering with a proven track record of building cloud-based, production-grade data pipelines.  </li>
</ul>
How We Work Together
<ul>
<li>This role requires 100% of work to be performed in a remote office environment and requires the ability to use keyboards and other computer equipment. </li>
<li>This is a remote position with less than 10% travel requirements. Occasional planned travel may be required as part of the role. </li>
</ul>
The expected salary range for this role is $120,000-$160,000 USD per year. In addition to base pay, employees may be eligible for 401k, stock options, health and wellness benefits and paid time off.
Diversity &amp; Inclusion
We work with and serve people from diverse cultures and communities around the world. We are stronger and better when we build a team representing the communities we support. We maintain an inclusive culture where people from a broad range of backgrounds feel valued and respected as they contribute to our mission. 
We are an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to, and will not be discriminated against on the basis of, race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law.
Care Access is unable to sponsor work visas at this time.
If you need an accommodation to apply for a role with Care Access, please reach out to: <a href="mailto:TalentAcquisition@careaccess.com" target="_blank">TalentAcquisition@careaccess.com</a>

Senior Data Engineer

<h3>Job Description</h3>
Job Description
We're seeking a Data &amp; AI Engineer to develop intelligent data pipelines and analytics solutions that power smarter decisions across silicon design, verification, and manufacturing. You'll transform engineering data into actionable insights through automation, modeling, and visualization.
Responsibilities
<ul>
<li>Build and maintain data pipelines to support machine learning and analytics workflows.</li>
<li>Collect, clean, and transform large, complex datasets from engineering environments.</li>
<li>Develop and train predictive models for yield, performance, and anomaly detection.</li>
<li>Automate recurring data analysis tasks and integrate models into engineering processes.</li>
<li>Collaborate with design and software teams to embed AI-driven insights into products.</li>
<li>Create dashboards and visualization tools for reporting and decision-making.</li>
<li>Document code, models, and processes for transparency and reproducibility.</li>
</ul>
Qualifications
<ul>
<li>Proficiency in Python and ML frameworks (TensorFlow, PyTorch, Scikit-learn).</li>
<li>Strong skills in data manipulation (Pandas, NumPy, SQL).</li>
<li>Experience with workflow orchestration (Airflow, Spark, or similar).</li>
<li>3–5 years of experience in data engineering or applied AI.</li>
<li>Bachelor's degree in Electrical Engineering, Computer Science, or related field.</li>
</ul>
Preferred / Plus
<ul>
<li>Familiarity with semiconductor design, verification, or manufacturing datasets.</li>
<li>Understanding of statistical modeling and predictive maintenance.</li>
<li>Experience with cloud environments (AWS, Azure, GCP) and version control (Git).</li>
<li>Knowledge of MLOps principles (deployment, monitoring, CI/CD).</li>
</ul>

Data & AI Engineer (Remote)

<h3>Job Description</h3>
Job DescriptionAt BETA Technologies, we apply our intellectual curiosity, passion for aviation, and commitment to sustainability toward a shared mission of revolutionizing electric aviation. Regardless of the position one holds, each team member brings their talent and desire to positively impact the environment and lives of others in a refreshing, vibrant, and inclusive culture. We are looking for a Flight Data Analytics Engineer to join our growing team. The person in this position will play a pivotal role in enhancing and expanding BETA's existing flight data capabilities by building upon established transformations, evolving our dashboard ecosystem, and ensuring continued reliable data delivery from aircraft systems to end-user dashboards. The ideal candidate enjoys turning complex technical data into actionable insights, possesses a strong understanding of analytical workflows, and is adept at collaborating with diverse stakeholders from aircraft systems engineers to commercial teams. They must be self-directed and comfortable bridging the gap between highly technical aviation systems and the varied analytical needs of flight test, engineering, and commercial teams.&nbsp;How you will contribute to revolutionizing electric aviation:
<ul>
<li>Design and maintain data transformations using Python and SQL to convert raw aircraft systems data into analysis-ready datasets, ensuring accuracy and consistency across the data pipeline</li>
<li>Define performant data models to power dashboards and reporting, maintaining their coherence and evolution over time</li>
<li>Build and maintain interactive dashboards and data exploration tools to support flight test teams, aircraft systems engineers, and other stakeholders</li>
<li>Collaborate with aircraft systems engineering teams to understand data schema changes, system interface updates, and evolving data requirements to ensure transformations remain current and accurate</li>
<li>Effectively communicate with both technical and non-technical stakeholders, translating complex data concepts into understandable insights and recommendations</li>
<li>Monitor data quality and integrity throughout the pipeline from aircraft systems to end-user consumption, implementing validation checks and error detection mechanisms</li>
<li>Maintain and optimize data processing workflows running on AWS infrastructure, troubleshooting issues and ensuring reliable data delivery</li>
<li>Maintain documentation of code, algorithms, and data definitions, ensuring clarity for other team members and stakeholders</li>
<li>Work with data and subject matter experts to strive for greater self-serve functionality in our data systems</li>
<li>As necessary, facilitate ad-hoc analysis requests using tools like Jupyter notebooks and direct SQL queries</li>
<li>Actively contribute to a collaborative team environment, fostering open communication, mutual respect, and a unified vision to achieve shared goals and drive business value</li>
<li>Participate in collaborative code and work reviews, providing constructive feedback to teammates and incorporating feedback to continuously improve data solutions and maintain team standards</li>
</ul>
Minimum Qualifications:
<ul>
<li>Bachelor's degree in Engineering, Computer Science, Data Science, or related technical field</li>
<li>3+ years of experience in data analysis, business intelligence, or analytics engineering roles</li>
<li>Strong proficiency in Python for data manipulation, analysis, and pipeline development</li>
<li>Advanced SQL skills and experience with relational databases, as well as familiarity with columnar (e.g., RedShift) and non-relational (e.g. DynamoDB) databases</li>
<li>Experience with cloud platforms (preferably AWS) and containerized applications</li>
<li>Proficiency with data visualization tools and dashboard development</li>
<li>Strong analytical and problem-solving skills with attention to detail and data accuracy</li>
<li>Excellent communication skills with ability to work effectively with both technical and business stakeholders</li>
<li> Experience working with time-series data and large datasets</li>
<li>Understanding of data pipeline concepts and ETL/ELT processes</li>
<li>Aptitude for rapidly learning and integrating with APIs</li>
<li>Understanding of DevOps practices including CI/CD, version control (Git), and infrastructure as code</li>
<li>Strong project management and organizational skills</li>
<li>Exceptional troubleshooting skills with the ability to spot issues before they become problems</li>
<li>Experience supporting and working with cross-functional teams in a dynamic environment</li>
</ul>
Above and Beyond Qualifications:
<ul>
<li>Aerospace, aviation, or flight test experience with understanding of aircraft systems and operations</li>
<li>Experience with AWS services including ECS, Fargate, S3, Athena, and related data services</li>
<li>Familiarity with workflow orchestration tools such as Apache Airflow</li>
<li>Experience with modern data lakehouse architectures (Iceberg, Delta Lake, etc.) and query engines like Trino</li>
<li>Grafana expertise including advanced dashboard development, alerting, and plugin usage</li>
<li>dbt (Data Build Tool) experience for analytics engineering workflows</li>
<li>Experience with Jupyter notebooks and Python data science libraries (pandas, numpy, matplotlib, etc.)</li>
<li>Knowledge of data modeling techniques and dimensional modeling concepts</li>
<li>Experience with real-time or streaming data processing</li>
<li>Background in systems engineering or instrumentation with understanding of sensor data and measurement systems</li>
<li>Familiarity with aviation regulations and standards (DO-178, DO-254, DO-330 etc.) as they relate to data systems</li>
</ul>
The wage listed here reflects our best faith estimate for this role. We pay competitively and base compensation on a variety of factors including skills, experience, industry background, and the evolving needs of the role. We remain committed to fair and equitable pay and we're happy to discuss during the interview process.Build electric airplanes with us! We encourage all driven candidates to apply, even if they do not meet every listed qualification. We are an equal opportunity employer. Employment decisions are based on merit, competence and qualifications and will not be influenced in any manner on race, color, religion, age, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, disability, veteran or military status, genetic information, pregnancy, or any other protected characteristic under federal, state, or local law. BETA complies with all applicable federal, state and local non-discrimination laws and does not tolerate discrimination of any kind in our workplace. Employment offers are contingent upon the successful completion of a background check. BETA Technologies participates in E-Verify.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Flight Data Analytics Engineer \u007C Digital Infrastructure

<h3>Job Description</h3>
Job DescriptionAbout Commonwealth Fusion Systems:&nbsp; Commonwealth Fusion Systems is on a mission to deliver the urgent transition to fusion energy. Combining decades of research, top talent, and new technologies, we’re designing and building commercially viable fusion power plants. And working with policymakers and suppliers to build the energy industry of the future.&nbsp; We’re in the best position to make it happen. Since 2018, we’ve raised nearly $3 billion in capital, making us the largest and leading private fusion company in the world. Now we’re looking for more thinkers, doers, builders, and makers to join us. People who’ll bring new perspectives, solve tough problems, and thrive as part of a team.&nbsp; If that’s you and this role fits, we want to hear from you. Join the power movement as an Enterprise Cloud Data Engineer Are you a Data Engineer with a solid foundation, ready to take the next step in your career? Are you excited by the potential of AI and Generative AI to revolutionize how a business operates? We are looking for a creative and driven Cloud Data Engineer to join our team. This role is a unique opportunity to grow into a senior-level position while directly applying cutting-edge AI to solve real-world challenges in a fast growing manufacturing environment. The ideal candidate for this role has a strong data engineering background and is ready to accelerate their career. You're an agile thinker who thrives in a rapidly growing environment and is passionate about using data and AI to solve complex business problems and help shape the future of our company.What you'll do:
<ul>
<li>ETL/ELT Development: Design, develop, and maintain robust, scalable data pipelines to support both enterprise analytics and the entire machine learning lifecycle.</li>
<li>Business Solutions: Collaborate with stakeholders across operations, supply chain, finance, and engineering to translate complex business challenges into actionable data requirements and AI-driven solutions.</li>
<li>Prepare and transform complex datasets into high-quality, model-ready formats suitable for machine learning and Generative AI applications.</li>
<li>Take full ownership of the data lifecycle for your projects, ensuring high standards of data quality, governance, and reliability from ingestion to consumption.</li>
<li>Actively contribute to a dynamic, fast-paced environment by proposing new technologies and methodologies to continuously improve our data infrastructure.</li>
<li>Data Governance </li>
<li>Integration of key enterprise apps </li>
</ul>
 
<ul>
<li>AI/ML-Related Responsibilities</li>
<li>Prototype and develop innovative solutions using Generative AI and Large Language Models (LLMs) to automate workflows and unlock new insights from unstructured enterprise data (e.g., technical documents, financial reports, operational logs)</li>
<li>Architect and build the data infrastructure required for advanced AI applications, such as implementing pipelines for Retrieval-Augmented Generation (RAG) and managing vector databases to power intelligent search and summarization tools</li>
<li>Stay at the forefront of the industry by researching, evaluating, and experimenting with emerging AI technologies and platforms to recommend and implement solutions that provide a competitive advantage</li>
</ul>
What we’re looking for:
<ul>
<li>Bachelor’s degree in Computer Science, Information Technology, or a related technical field</li>
<li>2+ years of professional experience in data warehousing, ETL/ELT development, and data modeling</li>
<li>Expert-level proficiency in SQL, including writing complex queries, stored procedures, and performing query optimization</li>
<li>Strong experience with a modern data warehouse platform such as [e.g., Snowflake, Amazon Redshift, Google BigQuery]</li>
<li>Demonstrated expertise in ETL/ELT tools and frameworks, such as [e.g., Apache Airflow, dbt, Informatica, Talend]</li>
<li>Proficiency in at least one scripting or programming language, such as Python, with an understanding of libraries like Pandas or NumPy for data manipulation</li>
<li>Project management skills</li>
<li>Great numerical and analytical skills</li>
<li>Excellent problem-solving skills</li>
<li>Have attention to detail and excellent communication skills, both written and verbal</li>
<li>Have an agile mindset to provide solutions quickly with an incremental value to customers</li>
</ul>
Bonus points for:
<ul>
<li>Experience with cloud-based data services and infrastructure (e.g., AWS, GCP, Azure)</li>
<li>Experience with big data technologies like Apache Spark or Hadoop</li>
<li>Some Knowledge of data visualization and business intelligence tools like Tableau, Power BI, or Looker</li>
<li>Experience in a data-centric role supporting machine learning initiatives, including building data pipelines for model training and serving</li>
<li>Familiarity with ML platforms or feature stores (e.g., SageMaker, Databricks, Feast)</li>
<li>Familiarity with GenAI platforms such as AWS Bedrock, Gemini</li>
<li>Exposure to Lowcode platforms such as Mendix, Appsheet</li>
</ul>
Must-have requirements:
<ul>
<li>Ability to occasionally lift up to 50 lbs</li>
<li>Perform activities such as typing, standing, or sitting for extended periods of time</li>
<li>Willingness to occasionally travel or work required nights/weekends/on-call</li>
<li>Work in a facility that contains industrial hazards including heat, cold, noise, fumes, strong magnets, lead (Pb), high voltage, high current, pressure systems, and cryogenics</li>
</ul>
Salary range for this full-time position + equity + benefits.&nbsp;The actual salary will depend on level, location, qualifications, and experience. The range displayed on each job posting reflects new hire salaries for the position across all US locations. Benefits include:•&nbsp; Competitive compensation with equity•&nbsp; 12.5 Company-wide Holidays•&nbsp; Flexible vacation days•&nbsp; 10 sick days•&nbsp; Generous parental leave policy•&nbsp; Health, dental, and vision insurance•&nbsp; 401(k) with employer matching•&nbsp; Professional growth opportunities•&nbsp; Team-building activities#LI-Hybrid At CFS, we excel in fast-paced environments, driven by our values of integrity, execution, impact, and self-critique. As we grow, we’re eager to bring on mission-driven folks who offer diverse perspectives and fresh ways to tackle challenges. We value diversity deeply and are proud to be an equal opportunity employer by choice. We consider all qualified applicants equally, regardless of race, color, national origin, ancestry, citizenship status, protected veteran status, religion, physical or mental disability, marital status, sex, sexual orientation, gender identity or expression, age, or any other basis protected by law. This role requires compliance with U.S. laws concerning the export of controlled or protected technologies or information (collectively, “Export Control Laws"). Any offer of employment will be contingent on the need for compliance with such Export Control Laws.

Enterprise Cloud Data Engineer

<h3>Job Description</h3>
Job Description
Job Title: Data Engineer FLSA Classification: Exempt (Salaried)
Reports to: Senior Director of Business and Data Analytics
Position Summary 
The Data Engineer is responsible for developing and maintaining GBFB’s data warehouse and other data-related products including API management, data ingestion, data modeling, cost/activity monitoring and implementing best practice solutions to improve data reliability, efficiency, and quality. They will share the Business and Data Analytics team’s goal to grow GBFB’s data management program, empower self-service reporting, and drive data-informed insights &amp; action across GBFB.

Role &amp; Responsibilities
<ul>
<li>Develop data platforms including data warehouses, analytic products, data lakes, ETL, ML models, and data pipelines in collaboration with the Senior Director, data analysts, and subject matter experts.</li>
<li>Centralize, transform, and model data in Azure to enable powerful analysis and draw a more comprehensive picture of user flows throughout our system.</li>
<li>Enhance and optimize Azure data ingestion pipelines and automations.</li>
<li>Develop and manage Boomi, Power Automate, and other data extract/load pipelines.</li>
<li>Provide relational database expertise (Netsuite, Salesforce, SQL, etc.) to construct views and execute queries to be used in data visualization and analysis activities.</li>
<li>Develop data models that can be used to make predictions and answer questions for the overall business.</li>
<li>Develop self-service data solutions to provide a range of business leaders and functional areas insights into GBFB’s operations.</li>
<li>Leverage industry best practices to ensure data quality standards are met.</li>
<li>Apply and ensure adherence to IAM and Data Governance policies.</li>
<li>Promote updated code through DevOps through the development, pre-production, and production tiered environment.</li>
<li>Develop and execute tools to monitor and report on data warehouse activity, access and data quality and ensure optimized performance and cost efficiency. </li>
<li>Foster appreciation and adherence to the principles of data quality management.</li>
<li>Collaborate with Technology team in managing security mechanisms and data access governance.</li>
<li>Respond to data and product related inquiries to support business and technical teams.</li>
<li>Support the development and implementation of the Service Insights client data collection effort through API management, data ingestion and modelling; providing expertise to ensure quality data capture, analytic capabilities, and support the potential for changing business needs and future growth.</li>
<li>Act as backup to Data Analyst and Senior Data Analyst.</li>
<li>Maintain and develop departmental Standard Operating Procedures</li>
<li>Other duties as assigned.</li>
</ul>
 
Skills:
<ul>
<li>Deep understanding of database design, architecture, and management.</li>
<li>Knowledge of data warehousing architecture, concepts, methodologies, and best practices.</li>
<li>Knowledge of data governance, data quality management concepts, and data quality tools. </li>
<li>Proficient in SQL, Python, and some experience with other programming languages for cloud platform (e.g., Java/C#/Unix).</li>
<li>Ability to transform business requirements into technical requirements.</li>
<li>Ability to develop machine learning models.</li>
<li>Ability to analyze large and diverse data sets.</li>
<li>Strong critical thinking skills.</li>
<li>Excellent problem solving and troubleshooting skills.</li>
<li>Strong relationship building and interpersonal skills.</li>
<li>Strong communication skills both verbal and written.</li>
<li>Ability to create insightful and accessible data visualizations.</li>
<li>Ability to create professional and comprehensive reports and summaries.</li>
<li>Flexibility and adaptability to emerging and changing priorities.</li>
<li>Ability to multi-task and manage tight deadlines.</li>
<li>Sensitivity to issues affecting low-income, food insecure populations.</li>
</ul>
Qualifications:
<ul>
<li>MS in Computer Science, Engineering, or related field; BS in Computer Science, Engineering or related field and minimum of 3 years working in a Data Engineer or related role; or 5+ years of experience working in a Data Engineer role required.</li>
<li>Hands-on experience with big data application development and cloud data warehousing (e.g., Spark, Redshift, Snowflake, Azure SQL DW, BigQuery) required.</li>
<li>Knowledge of Azure Synapse and DevOps required; hands-on experience preferred.</li>
<li>2+ years of experience with SQL required.</li>
<li>2+ years of experience with scripting languages (Python, PowerShell) required.</li>
<li>2+ years of experience interacting with web service APIs (SOAP, REST) required.</li>
<li>2+ years of experience designing, implementing, testing, optimizing, and troubleshooting data ETL solutions preferred.</li>
<li>Experience with BI reporting tools required, Power BI preferred.</li>
<li>Experience with Boomi preferred.</li>
<li>Experience with Power Automate preferred. </li>
<li>Demonstrates the required digital competencies that result in the effective usage of the full range of digital technologies at GBFB.</li>
</ul>
Physical Demands:
<ul>
<li>Ability to work in an office environment.</li>
<li>Ability to work remotely both independently and collaboratively using connectivity tools like Zoom and MS Teams.</li>
<li>Ability to sit for up to 3 hours at a time.</li>
<li>Ability to lift up to 25 pounds with or without assistance.</li>
<li>Ability the use of hands for simple grasping and fine manipulations. </li>
<li>Ability to travel based on business needs. </li>
</ul>
Work Location: 
<ul>
<li>Hybrid: This role follows a hybrid schedule working in accordance with GBFB’s hybrid work policy on the team’s designated days. This schedule is subject to change based on the organization’s mission to end hunger.</li>
</ul>
Affirmative Action/EEO statement 
GBFB provides equal employment opportunities to all Team Members and applicants for employment without regard to race, creed, color, religion, national origin, citizenship status, gender, sexual orientation, marital status, age, disability, handicap, genetic information, protected veteran status or any other characteristic protected by applicable federal, state, and local laws. This applies to all terms and conditions of employment, including but not limited to hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, benefits, and training.
No Team Member or applicant will be subjected to harassment, intimidation, threats, coercion or discrimination because they have engaged in or may engage in any of the following: (1) filing a complaint of employment discrimination; (2) assisting or participating in an investigation, compliance review, hearing, or any other activity related to the administration of any federal, state or local law requiring equal opportunity; (3) opposing any act or practice made unlawful by any federal, state or local law requiring equal opportunity; or (4) exercising any other right protected by any federal, state or local law requiring equal opportunity.

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