Data Engineer Jobs in Boston, MA
Data Engineer jobs in Boston are concentrated in the Seaport, Kendall Square, and the Financial District, driven by demand from biotech, financial services, and enterprise software firms. Employers hiring right now include Boston University, Motional, and Plymouth Rock Assurance. Scan the live roles below and apply to whichever ones fit.
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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 to 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 www.CareAccess.com.
How This Role Makes a Difference
The Senior Data Engineer is responsible for designing, developing, implementing, and maintaining scalable data pipelines and enterprise data solutions that support the organization's operational, analytical, and reporting needs. This position oversees the ingestion, transformation, integration, and delivery of complex data from multiple sources to ensure the availability, reliability, and integrity of enterprise data assets. The Senior Data Engineer collaborates with cross-functional stakeholders to develop modern data architectures, optimize data processing workflows, and enhance platform performance using industry best practices and cloud-based technologies. This role provides technical leadership in advancing the organization's data infrastructure, supporting data governance initiatives, and delivering high-quality data solutions that enable informed business decision-making.
How You'll Make An Impact
- Data Engineering Strategy and Architecture:
- Design and implement scalable, reliable, and efficient data pipelines to support clinical, operational, and business needs.
- Develop and maintain architecture standards, reusable frameworks, and best practices across data engineering workflows.
- Build automated systems for data ingestion, transformation, and orchestration leveraging cloud-native and open-source tools.
- Data Infrastructure and Performance Optimization:
- Optimize data storage and processing in data lakes and cloud data warehouses (Azure, Databricks).
- Develop and monitor batch and streaming data processes to ensure data accuracy, consistency, and timeliness.
- Maintain documentation and lineage tracking across datasets and pipelines to support transparency and governance.
- Collaboration and Stakeholder Engagement:
- Work cross-functionally with analysts, data scientists, software engineers, and business stakeholders to understand data requirements and deliver fit-for-purpose data solutions.
- Review and refine work completed by other team members, ensuring quality and performance standards are met.
- Provide technical mentorship to junior team members and collaborate with contractors and third-party vendors to extend engineering capacity.
- Technology and Tools:
- Use Databricks, DBT, Azure Data Factory, and SQL to architect and deploy robust data engineering solutions.
- Integrate APIs, structured/unstructured data sources, and third-party systems into centralized data platforms.
- Evaluate and implement new technologies to enhance the scalability, observability, and automation of data operations.
- Continuous Improvement:
- Proactively suggest improvements to infrastructure, processes, and automation to improve system efficiency, reduce costs, and enhance performance.
The Expertise Required
- Familiarity with CI/CD pipelines, orchestration tools (e.g., Airflow, Azure Data Factory), and modern software engineering practices.
- Strong analytical and problem-solving skills, with the ability to address complex data challenges and drive toward scalable solutions.
Certifications/Licenses, Education, and Experience
- Minimum Education:
- Bachelor's or master's degree in computer science, Information Systems, Engineering, or a related field.
- Minimum Experience:
- 5+ years of experience in data engineering with a proven track record of building cloud-based, production-grade data pipelines.
- Strong expertise in Databricks, SQL, dbt, Python, and cloud data ecosystems such as Azure.
- Experience working with structured and semi-structured data from diverse domains.
How We Work Together
- Location: Remote within the United States. This role requires 100% of work to be performed in a remote office environment.
- Travel: This is a remote position with less than 10% travel requirements. Occasional planned travel may be required as part of the role.
- Physical demands associated with this position Include: The ability to use keyboards and other computer equipment.
The expected pay range for this role is $120,000 - $160,000 USD per year for full time team members.
Benefits & Perks (US Full Time Employees)
- Paid Time Off (PTO) and Company Paid Holidays
- 100% Employer paid medical, dental, and vision insurance plan options
- Health Savings Account and Flexible Spending Accounts
- Bi-weekly HSA employer contribution
- Company paid Short-Term Disability and Long-Term Disability
- 401(k) Retirement Plan, with Company Match
Mandatory Employer Disclosures
Notice to Connecticut applicants: Care Access may require applicants to submit to a urinalysis drug test in connection with an application for employment.
Notice to Arizona, Georgia, Indiana, and North Dakota applicants: Care Access complies with applicable laws prohibiting smoking in and around places of employment.
Notice to Massachusetts applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
Notice to Rhode Island applicants: Care Access complies with Rhode Island law prohibiting smoking in enclosed areas within places of employment. Care Access is also subject to is subject to Chapters 29–38 of Title 28 of the Rhode Island General Laws.
Notice to Maryland applicants: UNDER MARYLAND LAW, AN EMPLOYER MAY NOT REQUIRE OR DEMAND, AS A CONDITION OF EMPLOYMENT, PROSPECTIVE EMPLOYMENT, OR CONTINUED EMPLOYMENT, THAT AN INDIVIDUAL SUBMIT TO OR TAKE A LIE DETECTOR OR SIMILAR TEST. AN EMPLOYER WHO VIOLATES THIS LAW IS GUILTY OF A MISDEMEANOR AND SUBJECT TO A FINE NOT EXCEEDING $100.
#LI-Remote
Diversity & 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: TalentAcquisition@careaccess.com
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 to 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 www.CareAccess.com.
How This Role Makes a Difference
The Senior Data Engineer is responsible for designing, developing, implementing, and maintaining scalable data pipelines and enterprise data solutions that support the organization's operational, analytical, and reporting needs. This position oversees the ingestion, transformation, integration, and delivery of complex data from multiple sources to ensure the availability, reliability, and integrity of enterprise data assets. The Senior Data Engineer collaborates with cross-functional stakeholders to develop modern data architectures, optimize data processing workflows, and enhance platform performance using industry best practices and cloud-based technologies. This role provides technical leadership in advancing the organization's data infrastructure, supporting data governance initiatives, and delivering high-quality data solutions that enable informed business decision-making.
How You'll Make An Impact
- Data Engineering Strategy and Architecture:
- Design and implement scalable, reliable, and efficient data pipelines to support clinical, operational, and business needs.
- Develop and maintain architecture standards, reusable frameworks, and best practices across data engineering workflows.
- Build automated systems for data ingestion, transformation, and orchestration leveraging cloud-native and open-source tools.
- Data Infrastructure and Performance Optimization:
- Optimize data storage and processing in data lakes and cloud data warehouses (Azure, Databricks).
- Develop and monitor batch and streaming data processes to ensure data accuracy, consistency, and timeliness.
- Maintain documentation and lineage tracking across datasets and pipelines to support transparency and governance.
- Collaboration and Stakeholder Engagement:
- Work cross-functionally with analysts, data scientists, software engineers, and business stakeholders to understand data requirements and deliver fit-for-purpose data solutions.
- Review and refine work completed by other team members, ensuring quality and performance standards are met.
- Provide technical mentorship to junior team members and collaborate with contractors and third-party vendors to extend engineering capacity.
- Technology and Tools:
- Use Databricks, DBT, Azure Data Factory, and SQL to architect and deploy robust data engineering solutions.
- Integrate APIs, structured/unstructured data sources, and third-party systems into centralized data platforms.
- Evaluate and implement new technologies to enhance the scalability, observability, and automation of data operations.
- Continuous Improvement:
- Proactively suggest improvements to infrastructure, processes, and automation to improve system efficiency, reduce costs, and enhance performance.
The Expertise Required
- Familiarity with CI/CD pipelines, orchestration tools (e.g., Airflow, Azure Data Factory), and modern software engineering practices.
- Strong analytical and problem-solving skills, with the ability to address complex data challenges and drive toward scalable solutions.
Certifications/Licenses, Education, and Experience
- Minimum Education:
- Bachelor's or master's degree in computer science, Information Systems, Engineering, or a related field.
- Minimum Experience:
- 5+ years of experience in data engineering with a proven track record of building cloud-based, production-grade data pipelines.
- Strong expertise in Databricks, SQL, dbt, Python, and cloud data ecosystems such as Azure.
- Experience working with structured and semi-structured data from diverse domains.
How We Work Together
- Location: Remote within the United States. This role requires 100% of work to be performed in a remote office environment.
- Travel: This is a remote position with less than 10% travel requirements. Occasional planned travel may be required as part of the role.
- Physical demands associated with this position Include: The ability to use keyboards and other computer equipment.
The expected pay range for this role is $120,000 - $160,000 USD per year for full time team members.
Benefits & Perks (US Full Time Employees)
- Paid Time Off (PTO) and Company Paid Holidays
- 100% Employer paid medical, dental, and vision insurance plan options
- Health Savings Account and Flexible Spending Accounts
- Bi-weekly HSA employer contribution
- Company paid Short-Term Disability and Long-Term Disability
- 401(k) Retirement Plan, with Company Match
Mandatory Employer Disclosures
Notice to Connecticut applicants: Care Access may require applicants to submit to a urinalysis drug test in connection with an application for employment.
Notice to Arizona, Georgia, Indiana, and North Dakota applicants: Care Access complies with applicable laws prohibiting smoking in and around places of employment.
Notice to Massachusetts applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
Notice to Rhode Island applicants: Care Access complies with Rhode Island law prohibiting smoking in enclosed areas within places of employment. Care Access is also subject to is subject to Chapters 29–38 of Title 28 of the Rhode Island General Laws.
Notice to Maryland applicants: UNDER MARYLAND LAW, AN EMPLOYER MAY NOT REQUIRE OR DEMAND, AS A CONDITION OF EMPLOYMENT, PROSPECTIVE EMPLOYMENT, OR CONTINUED EMPLOYMENT, THAT AN INDIVIDUAL SUBMIT TO OR TAKE A LIE DETECTOR OR SIMILAR TEST. AN EMPLOYER WHO VIOLATES THIS LAW IS GUILTY OF A MISDEMEANOR AND SUBJECT TO A FINE NOT EXCEEDING $100.
#LI-Remote
Diversity & 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: TalentAcquisition@careaccess.com
See All 93 Data Engineer Jobs in Boston
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Find Data Engineer JobsData Engineer Job Market in Boston
Who's Hiring
Top Industries Hiring
- Technology & Software
Data Engineer Jobs in Boston: Frequently Asked Questions
How do I get a data engineer job in Boston?
Focus your search on Boston's three strongest hiring sectors: life sciences and biotech clustered around Kendall Square, financial services firms in the Financial District and Back Bay, and enterprise software companies in the Seaport. Candidates who stand out typically bring hands-on pipeline experience, cloud platform fluency, and familiarity with the large-scale data environments common in those industries. Applying directly to employers in those neighborhoods gives you the sharpest edge.
Which companies hire data engineers in Boston?
Employers hiring data engineers in Boston right now include Boston University, Motional, and Plymouth Rock Assurance, based on current listings on Migrate Mate as of November 2026. Boston's mix of major hospitals, biotech firms, asset managers, and high-growth tech companies means demand comes from a wide range of employer types, not just pure software shops.
Are there remote data engineer jobs in Boston?
Yes, though availability depends on the role. Data engineering work is largely desk-based and analytical, which makes it more remote-friendly than hands-on technical roles. About 75% of data engineer openings tied to Boston are remote or hybrid as of November 2026, with the most remote-friendly positions typically in software and analytics-heavy companies rather than in biotech or healthcare, where on-site data governance requirements are more common.
How can I get a data engineer job in Boston with little or no experience?
The most realistic entry path in Boston is moving into a junior data engineer or data analyst role at a mid-size tech or analytics company in the Seaport or Cambridge. Boston's dense concentration of university-affiliated research organizations and health tech startups regularly hire entry-level candidates who can demonstrate SQL, Python, and basic pipeline skills. Building a portfolio on public datasets and targeting companies with defined rotational or associate programs gives early-career candidates a concrete foothold.
Which industries hire the most data engineers in Boston?
The sectors hiring the most data engineers in Boston are Technology & Software, based on current listings on Migrate Mate as of November 2026. Boston's identity as a global biotech hub and a major financial center means those two sectors alone account for a large share of local demand, with enterprise software and healthtech firms adding consistent volume year-round.
Related Jobs in Massachusetts
See All 93 Data Engineer Jobs in Boston
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