Data Engineer Jobs in Massachusetts
Data Engineer jobs in Massachusetts are in high demand, concentrated in biotech, financial services, healthcare technology, and enterprise software, with openings at every level from entry-level associates through principal and staff engineers. Boston, Cambridge, and the Route 128 corridor account for most of the hiring, anchored by employers like MassMutual, Biogen, and Liberty Mutual that maintain large, durable data engineering teams in the state. The most sought-after specialties right now are cloud data platform engineering, real-time pipeline development, and analytics engineering on modern data stacks. Find a role that fits below and apply directly.
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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 Massachusetts
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Find Data Engineer JobsData Engineer Jobs by City in Massachusetts
Where Massachusetts roles are concentrated, by current openings.
Data Engineer Job Market in Massachusetts
A snapshot from current Massachusetts openings, updated as new roles post.
Who's Hiring



Top Industries Hiring
- Technology & Software
- Energy
- Insurance
- Banking & Financial Services
What Massachusetts Employers Look For
The qualifications that appear most often in data engineer jobs across Massachusetts.
- Bachelor's degree in computer science, engineering, or a related technical field required
- Proficiency in Python and SQL for data pipeline development and transformation
- Experience with cloud data platforms such as AWS, Azure, or Google Cloud
- Familiarity with data orchestration tools like Apache Airflow or dbt
- Knowledge of distributed data processing frameworks including Spark or Kafka
- Strong communication skills to collaborate with data scientists and business analysts
Data Engineer Jobs in Massachusetts: Frequently Asked Questions
How do you become a data engineer in Massachusetts?
Massachusetts does not require a state-issued license or registration to work as a data engineer. Most employers in Massachusetts expect a bachelor's degree in computer science, software engineering, or a closely related field, along with demonstrated proficiency in SQL, Python, and cloud infrastructure. Candidates who build a portfolio of pipeline projects or earn cloud certifications from AWS, Google, or Azure strengthen their position considerably in the Boston and Cambridge markets.
Which companies hire data engineers in Massachusetts?
Employers hiring data engineers in Massachusetts right now include State Street, Amazon, and Plymouth Rock Assurance, based on current listings on Migrate Mate as of September 2026. Massachusetts's concentration of life sciences, financial services, and health technology firms means demand is distributed across a wider range of industries than in many other states.
Which Massachusetts cities have the most data engineer jobs?
The cities with the most data engineer openings in Massachusetts are Boston, North Reading, and Quincy. Boston and Cambridge drive the largest share of listings because of the dense cluster of biotech, fintech, and academic medical institutions there, while suburban Route 128 corridor towns attract postings from insurance and enterprise software companies headquartered outside the urban core.
Are there remote data engineer jobs in Massachusetts?
Yes, and more than most fields. About 70% of data engineer openings tied to Massachusetts are remote or hybrid as of September 2026, reflecting how much of the work involves writing code, building pipelines, and querying cloud platforms rather than being physically present with hardware or patients. Pipeline development and analytics engineering roles tend to carry the highest rates of fully remote flexibility.
How can I get hired as a data engineer in Massachusetts with little or no experience?
The most realistic entry path is landing an associate or junior data engineer role at a Massachusetts employer that runs structured new-graduate or rotational programs, such as the large insurance carriers along the Route 128 corridor or health technology companies in the Longwood Medical Area. Moving laterally from a data analyst or business intelligence developer position is another common route, since SQL and reporting skills transfer directly. Building a GitHub portfolio of ETL or pipeline projects and earning an entry-level AWS or Azure cloud certification gives candidates without a traditional background a concrete edge in local screenings.
Where can I find and apply to data engineer jobs in Massachusetts?
You can find and apply to data engineer jobs in Massachusetts on Migrate Mate, which lists current openings tied to the state. Find roles that fit your experience and location and apply directly from the listing.
See All 89 Data Engineer Jobs in Massachusetts
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