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 Plymouth Rock Assurance, Whoop, and Lydian. Scan the live roles below and apply to whichever ones fit.
Find Data Engineer JobsOverview
Showing 4 of 89+ Data Engineer jobs
Location: This position may be performed remotely, but requires the flexibility and willingness to travel as needed.
The Opportunity
Praxis is expanding the engineering team behind its commercial data foundation. We're looking for a Senior Data Platform Engineer, Commercial to build and maintain the pipelines, models, and integrations that give commercial teams dependable data for execution and decision-making.
This is a hands-on engineering role for someone who can translate business needs into well-engineered, tested, and maintainable data products. You'll work directly with commercial data owners and technical partners to turn approved business definitions into trusted data, while taking ownership for data quality, operational reliability, documentation, and ongoing support.
You'll partner closely with the Senior Snowflake Platform Engineer on production delivery and support. Your primary focus will be commercial data pipelines, transformations, models, and integrations; both engineers will troubleshoot SQL and Python, maintain operational documentation, and cross-train to provide reliable coverage for critical workloads.
Primary Responsibilities
- Design and maintain scalable ETL/ELT pipelines and transformations across Snowflake Bronze, Silver, and Gold layers.
- Integrate data from CRM, field activity, marketing, and external sources, and manage changes with application owners and data providers.
- Partner with commercial data owners to translate requirements and definitions into consistent, reusable data models.
- Build automated checks for data completeness, freshness, accuracy, and schema changes, and resolve issues before they reach users.
- Monitor workloads, troubleshoot failures, support reprocessing and backfills, and implement lasting fixes to recurring issues.
- Build reliable data products for analytics, reporting, Streamlit, and AI-enabled use cases while maintaining appropriate access and privacy controls.
- Use strong engineering practices, automation, documentation, and knowledge sharing so critical workloads can be supported across the team.
Qualifications and Key Success Factors
- 7+ years of relevant experience in data engineering, analytics engineering, or related disciplines—or equivalent demonstrated depth—with hands-on experience delivering and supporting production Snowflake workloads.
- Strong SQL and Python skills, including experience building maintainable pipelines, transformations, data-quality checks, and operational automation.
- Strong foundation in analytical or dimensional data modeling, including reusable semantic models and consistent implementation of business definitions across data products.
- Hands-on experience integrating APIs, files, or shared datasets and managing schema changes, incremental processing, reconciliation, reprocessing, and recovery.
- Experience with modern transformation practices and tooling such as dbt or equivalent approaches, supported by automated data-quality and regression testing.
- Strong Git and collaborative development practices, including peer review, controlled environment promotion, production monitoring, and incident resolution.
- Ability to work directly with non-technical stakeholders, ask the questions needed to clarify ambiguous requirements, and validate that delivered data supports the intended business use.
- Bachelor's degree in a relevant technical field or equivalent practical experience.
- The physical and mental requirements of our roles include but are not limited to regular use of a computer, devices or other office equipment, clear communication, and occasional movement. You'll need comfort with screen work, basic hand coordination, and focus. Reasonable accommodations may be made to enable individuals with disabilities to perform these functions.
Compensation & Benefits
At Praxis, we believe that taking care of our people (and their people) is important, so we provide a world class benefits package to help you thrive. This includes 99% of the premium paid for medical, dental and vision plans. We also provide company-paid life insurance, AD&D, disability benefits, and voluntary plans to personalize your coverage. Thinking about the future? We match dollar-for-dollar up to 6% on eligible 401(k) contributions and sweeten the deal with long-term stock incentives and ESPP. We provide a discretionary quarterly bonus, an extremely flexible wellness benefit, generous PTO, paid holidays and company-wide shutdowns. Not to mention, you'll also be joining a phenomenal crew of colleagues who are smart, engaged and inspiring. We aim high, collaborate hard, and produce results. Let's achieve the impossible together!
Company Overview
Praxis Precision Medicines is a clinical-stage biopharmaceutical company translating genetic insights into the development of therapies for central nervous system disorders characterized by neuronal imbalance. At Praxis we share a common vision of reshaping the human condition into a more freeing and fulfilled existence by developing high impact medicines for patients and families affected by and living with complex brain disorders. Our core Values of Trust, Ownership, Curiosity and Results are foundational to every aspect of our business and are exemplified by each and every one of our team members.
Diversity, Equity & Inclusion
Guided by our core values, at Praxis Precision Medicines, Inc. we continue to DARE FOR MORE® to advance, promote, and champion diversity, equity, and inclusion by encouraging individuals to bring their authentic selves and perspectives to work each day. We are an equal opportunity employer and committed to providing opportunities to all qualified applicants without regard to race, religious creed, color, gender identity or expression, age, national origin, sexual orientation, disability, genetics, military service and veteran status, or any other characteristic protected by federal, state, or local laws.
Attention: Job Scam Alert
Praxis has recently become aware of fraudulent job recruitment postings from individuals claiming to represent Praxis. These postings seek financial information in connection with fraudulent opportunities for employment. If you suspect any fraudulent activity or misrepresentation in connection with a Praxis job opportunity, please report it to careers@praxismedicines.com.
Praxis does not accept unsolicited submissions from recruitment agencies for open positions. We ask all recruitment agencies to refrain from contacting any Praxis employee regarding any position. All unsolicited resumes submitted by recruitment agencies to any Praxis employee in any form or method will be deemed to be the property of Praxis, and Praxis explicitly reserves the right to hire those candidate(s) without any financial obligation to the recruitment agency.
Location: This position may be performed remotely, but requires the flexibility and willingness to travel as needed.
The Opportunity
Praxis is expanding the engineering team behind its commercial data foundation. We're looking for a Senior Data Platform Engineer, Commercial to build and maintain the pipelines, models, and integrations that give commercial teams dependable data for execution and decision-making.
This is a hands-on engineering role for someone who can translate business needs into well-engineered, tested, and maintainable data products. You'll work directly with commercial data owners and technical partners to turn approved business definitions into trusted data, while taking ownership for data quality, operational reliability, documentation, and ongoing support.
You'll partner closely with the Senior Snowflake Platform Engineer on production delivery and support. Your primary focus will be commercial data pipelines, transformations, models, and integrations; both engineers will troubleshoot SQL and Python, maintain operational documentation, and cross-train to provide reliable coverage for critical workloads.
Primary Responsibilities
- Design and maintain scalable ETL/ELT pipelines and transformations across Snowflake Bronze, Silver, and Gold layers.
- Integrate data from CRM, field activity, marketing, and external sources, and manage changes with application owners and data providers.
- Partner with commercial data owners to translate requirements and definitions into consistent, reusable data models.
- Build automated checks for data completeness, freshness, accuracy, and schema changes, and resolve issues before they reach users.
- Monitor workloads, troubleshoot failures, support reprocessing and backfills, and implement lasting fixes to recurring issues.
- Build reliable data products for analytics, reporting, Streamlit, and AI-enabled use cases while maintaining appropriate access and privacy controls.
- Use strong engineering practices, automation, documentation, and knowledge sharing so critical workloads can be supported across the team.
Qualifications and Key Success Factors
- 7+ years of relevant experience in data engineering, analytics engineering, or related disciplines—or equivalent demonstrated depth—with hands-on experience delivering and supporting production Snowflake workloads.
- Strong SQL and Python skills, including experience building maintainable pipelines, transformations, data-quality checks, and operational automation.
- Strong foundation in analytical or dimensional data modeling, including reusable semantic models and consistent implementation of business definitions across data products.
- Hands-on experience integrating APIs, files, or shared datasets and managing schema changes, incremental processing, reconciliation, reprocessing, and recovery.
- Experience with modern transformation practices and tooling such as dbt or equivalent approaches, supported by automated data-quality and regression testing.
- Strong Git and collaborative development practices, including peer review, controlled environment promotion, production monitoring, and incident resolution.
- Ability to work directly with non-technical stakeholders, ask the questions needed to clarify ambiguous requirements, and validate that delivered data supports the intended business use.
- Bachelor's degree in a relevant technical field or equivalent practical experience.
- The physical and mental requirements of our roles include but are not limited to regular use of a computer, devices or other office equipment, clear communication, and occasional movement. You'll need comfort with screen work, basic hand coordination, and focus. Reasonable accommodations may be made to enable individuals with disabilities to perform these functions.
Compensation & Benefits
At Praxis, we believe that taking care of our people (and their people) is important, so we provide a world class benefits package to help you thrive. This includes 99% of the premium paid for medical, dental and vision plans. We also provide company-paid life insurance, AD&D, disability benefits, and voluntary plans to personalize your coverage. Thinking about the future? We match dollar-for-dollar up to 6% on eligible 401(k) contributions and sweeten the deal with long-term stock incentives and ESPP. We provide a discretionary quarterly bonus, an extremely flexible wellness benefit, generous PTO, paid holidays and company-wide shutdowns. Not to mention, you'll also be joining a phenomenal crew of colleagues who are smart, engaged and inspiring. We aim high, collaborate hard, and produce results. Let's achieve the impossible together!
Company Overview
Praxis Precision Medicines is a clinical-stage biopharmaceutical company translating genetic insights into the development of therapies for central nervous system disorders characterized by neuronal imbalance. At Praxis we share a common vision of reshaping the human condition into a more freeing and fulfilled existence by developing high impact medicines for patients and families affected by and living with complex brain disorders. Our core Values of Trust, Ownership, Curiosity and Results are foundational to every aspect of our business and are exemplified by each and every one of our team members.
Diversity, Equity & Inclusion
Guided by our core values, at Praxis Precision Medicines, Inc. we continue to DARE FOR MORE® to advance, promote, and champion diversity, equity, and inclusion by encouraging individuals to bring their authentic selves and perspectives to work each day. We are an equal opportunity employer and committed to providing opportunities to all qualified applicants without regard to race, religious creed, color, gender identity or expression, age, national origin, sexual orientation, disability, genetics, military service and veteran status, or any other characteristic protected by federal, state, or local laws.
Attention: Job Scam Alert
Praxis has recently become aware of fraudulent job recruitment postings from individuals claiming to represent Praxis. These postings seek financial information in connection with fraudulent opportunities for employment. If you suspect any fraudulent activity or misrepresentation in connection with a Praxis job opportunity, please report it to careers@praxismedicines.com.
Praxis does not accept unsolicited submissions from recruitment agencies for open positions. We ask all recruitment agencies to refrain from contacting any Praxis employee regarding any position. All unsolicited resumes submitted by recruitment agencies to any Praxis employee in any form or method will be deemed to be the property of Praxis, and Praxis explicitly reserves the right to hire those candidate(s) without any financial obligation to the recruitment agency.
See All 89 Data Engineer Jobs in Boston
Find roles in Boston that match your experience and apply in just a few clicks.
Find Data Engineer JobsData Engineer Job Market in Boston
Who's Hiring
Top Industries Hiring
- Technology & Software
- Energy
- Insurance
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 Plymouth Rock Assurance, Whoop, and Lydian, based on current listings on Migrate Mate as of September 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 59% of data engineer openings tied to Boston are remote or hybrid as of September 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, Energy, and Insurance, based on current listings on Migrate Mate as of September 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 89 Data Engineer Jobs in Boston
Find roles in Boston that match your experience and apply in just a few clicks.
Find Data Engineer Jobs