Research Engineer Jobs in Massachusetts
Research engineer jobs in Massachusetts are among the most active in the country, concentrated in life sciences, robotics, semiconductor design, and defense technology, with openings at every level from new graduate through principal engineer. Boston, Cambridge, and Lowell are the primary hiring centers, anchored by institutions and companies such as MIT Lincoln Laboratory, Draper, and Raytheon Technologies. The strongest demand is in biomedical instrumentation, machine learning systems, and advanced materials research. Find a role that fits below and apply directly.
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Showing 5 of 39+ Research Engineer jobs
Principal Data Engineer, Global Liquid Markets-Public Markets and Research
Are you passionate about data and excited to shape the future of investing through innovative technology, including Agentic AI? Do you thrive in an inclusive, collaborative environment where your ideas are valued? Are you curious, adaptable, and eager to learn, experiment, and apply AI to solve real problems? If so, come build with us at Liberty Mutual Investments.
At Liberty Mutual Investments (LMI), we manage a high-quality investment portfolio using a disciplined strategy. LMI operates as a complete investment firm within our Fortune 100 company. Our investment professionals are critical to helping us keep our promises to policyholders, claimants, and their families.
NOTE: This role will have a hybrid work arrangement (2x/week) in our Boston, MA office.
Job Description
At Liberty Mutual Investments Technology, we are seeking a skilled Principal Data Engineer who is ready to take on exciting challenges, help shape our cloud-native, data platform, and make a real impact across our investment insights. You will build modern, AI powered solutions and robust data pipelines that power insights across our Global Liquid Markets (Public Markets and Research) investment portfolio, and you will use AI and agentic tools to build faster, test smarter, and automate the work that slows teams down. This is a high-impact opportunity to grow your career in a supportive, growth-oriented team working on meaningful challenges.
Key Responsibilities
Lead data engineering across four full stack squads, driving data design, best practices, and technical decisions while staying hands-on within one.
- Build data people can trust: Design and run automated, high-performance data pipelines on Snowflake and AWS that bring market and vendor data into the platform reliably and at scale.
- Shape the data products: Design the data models behind scalable products that power analytics and applications used in real investment decisions with an AI first mindset.
- Make quality a standard, not an afterthought: Own the testing strategy, from unit tests built into the pipeline to independent regression testing and set shared quality standards with Core Data and data governance.
- Drive AI-powered data engineering: Use AI to speed up how the squads build, test, and operate data pipelines, and apply agentic AI to automate repetitive engineering work, with sound guardrails and human review.
- Turn business needs into a roadmap: Partner with product owners and tech leads to translating what the business needs into a clear, prioritized data roadmap.
- Raise the engineering bar: Mentor engineers, lead code reviews, and model the practices you want the squads to follow.
Qualifications
- Bachelor's degree in a technical or business field, or equivalent hands-on experience.
- 8+ years in data engineering, with a proven record of delivering scalable, high-performing data pipelines and architecture in production.
Experience using AI tools to improve the speed, quality, and scale of work; can point to concrete workflows where AI adds value; critically evaluates and validates AI-generated output; and applies AI responsibly, protecting confidential and customer data.
- Experience with institutional investment or asset management data, ideally in public markets (fixed income, and derivatives) and research (data driven insights from structured and unstructured company, sector, macro sources).
- Expert SQL, with a strong command of data modeling, warehousing, and architecture, and sound judgment on design tradeoffs.
- Expert-level experience in designing and architecting scalable, high-performance Snowflake and AWS data solutions, including complex data models, ETL/ELT pipelines, performance optimization, and establishing best practices for data engineering across multiple squads
- Proficient in Python for transforming, integrating, and automating data workflows.
- Hands-on experience with AWS services used in data and application workloads, such as S3, Lambda, RDS (PostgreSQL), API Gateway, and IAM.
- Hands-on CI/CD experience, automating how data work is built, tested, and deployed with tools such as GitHub Actions or similar.
- Experience building data quality and automated testing into pipelines, from tests that run with every change to regression checks that confirm data products stay correct after releases, using data testing and quality tools such as dbt, iceDQ, or similar.
- Experience leading technical work, such as guiding design decisions, mentoring engineers, or setting a team’s technical direction.
Pay Philosophy: The typical starting salary range for this role is determined by a number of factors including skills, experience, education, certifications and location. The full salary range for this role reflects the competitive labor market value for all employees in these positions across the national market and provides an opportunity to progress as employees grow and develop within the role. Some roles at Liberty Mutual have a corresponding compensation plan which may include commission and/or bonus earnings at rates that vary based on multiple factors set forth in the compensation plan for the role.
At Liberty Mutual, our goal is to create a workplace where everyone feels valued, supported, and can thrive. We build an environment that welcomes a wide range of perspectives and experiences, with inclusion embedded in every aspect of our culture and reflected in everyday interactions. This comes to life through comprehensive benefits, workplace flexibility, professional development opportunities, and a host of opportunities provided through our Employee Resource Groups. Each employee plays a role in creating our inclusive culture, which supports every individual to do their best work. Together, we cultivate a community where everyone can make a meaningful impact for our business, our customers, and the communities we serve.
We value your hard work, integrity and commitment to make things better, and we put people first by offering you benefits that support your life and well-being. To learn more about our benefit offerings please visit: https://www.libertymutualgroup.com/about-lm/careers/benefits
Liberty Mutual is an equal opportunity employer. We will not tolerate discrimination on the basis of race, color, national origin, sex, sexual orientation, gender identity, religion, age, disability, veteran's status, pregnancy, genetic information or on any basis prohibited by federal, state or local law.
Fair Chance Notices
- California
- Los Angeles Incorporated
- Los Angeles Unincorporated
- Philadelphia
- San Francisco
Principal Data Engineer, Global Liquid Markets-Public Markets and Research
Are you passionate about data and excited to shape the future of investing through innovative technology, including Agentic AI? Do you thrive in an inclusive, collaborative environment where your ideas are valued? Are you curious, adaptable, and eager to learn, experiment, and apply AI to solve real problems? If so, come build with us at Liberty Mutual Investments.
At Liberty Mutual Investments (LMI), we manage a high-quality investment portfolio using a disciplined strategy. LMI operates as a complete investment firm within our Fortune 100 company. Our investment professionals are critical to helping us keep our promises to policyholders, claimants, and their families.
NOTE: This role will have a hybrid work arrangement (2x/week) in our Boston, MA office.
Job Description
At Liberty Mutual Investments Technology, we are seeking a skilled Principal Data Engineer who is ready to take on exciting challenges, help shape our cloud-native, data platform, and make a real impact across our investment insights. You will build modern, AI powered solutions and robust data pipelines that power insights across our Global Liquid Markets (Public Markets and Research) investment portfolio, and you will use AI and agentic tools to build faster, test smarter, and automate the work that slows teams down. This is a high-impact opportunity to grow your career in a supportive, growth-oriented team working on meaningful challenges.
Key Responsibilities
Lead data engineering across four full stack squads, driving data design, best practices, and technical decisions while staying hands-on within one.
- Build data people can trust: Design and run automated, high-performance data pipelines on Snowflake and AWS that bring market and vendor data into the platform reliably and at scale.
- Shape the data products: Design the data models behind scalable products that power analytics and applications used in real investment decisions with an AI first mindset.
- Make quality a standard, not an afterthought: Own the testing strategy, from unit tests built into the pipeline to independent regression testing and set shared quality standards with Core Data and data governance.
- Drive AI-powered data engineering: Use AI to speed up how the squads build, test, and operate data pipelines, and apply agentic AI to automate repetitive engineering work, with sound guardrails and human review.
- Turn business needs into a roadmap: Partner with product owners and tech leads to translating what the business needs into a clear, prioritized data roadmap.
- Raise the engineering bar: Mentor engineers, lead code reviews, and model the practices you want the squads to follow.
Qualifications
- Bachelor's degree in a technical or business field, or equivalent hands-on experience.
- 8+ years in data engineering, with a proven record of delivering scalable, high-performing data pipelines and architecture in production.
Experience using AI tools to improve the speed, quality, and scale of work; can point to concrete workflows where AI adds value; critically evaluates and validates AI-generated output; and applies AI responsibly, protecting confidential and customer data.
- Experience with institutional investment or asset management data, ideally in public markets (fixed income, and derivatives) and research (data driven insights from structured and unstructured company, sector, macro sources).
- Expert SQL, with a strong command of data modeling, warehousing, and architecture, and sound judgment on design tradeoffs.
- Expert-level experience in designing and architecting scalable, high-performance Snowflake and AWS data solutions, including complex data models, ETL/ELT pipelines, performance optimization, and establishing best practices for data engineering across multiple squads
- Proficient in Python for transforming, integrating, and automating data workflows.
- Hands-on experience with AWS services used in data and application workloads, such as S3, Lambda, RDS (PostgreSQL), API Gateway, and IAM.
- Hands-on CI/CD experience, automating how data work is built, tested, and deployed with tools such as GitHub Actions or similar.
- Experience building data quality and automated testing into pipelines, from tests that run with every change to regression checks that confirm data products stay correct after releases, using data testing and quality tools such as dbt, iceDQ, or similar.
- Experience leading technical work, such as guiding design decisions, mentoring engineers, or setting a team’s technical direction.
Pay Philosophy: The typical starting salary range for this role is determined by a number of factors including skills, experience, education, certifications and location. The full salary range for this role reflects the competitive labor market value for all employees in these positions across the national market and provides an opportunity to progress as employees grow and develop within the role. Some roles at Liberty Mutual have a corresponding compensation plan which may include commission and/or bonus earnings at rates that vary based on multiple factors set forth in the compensation plan for the role.
At Liberty Mutual, our goal is to create a workplace where everyone feels valued, supported, and can thrive. We build an environment that welcomes a wide range of perspectives and experiences, with inclusion embedded in every aspect of our culture and reflected in everyday interactions. This comes to life through comprehensive benefits, workplace flexibility, professional development opportunities, and a host of opportunities provided through our Employee Resource Groups. Each employee plays a role in creating our inclusive culture, which supports every individual to do their best work. Together, we cultivate a community where everyone can make a meaningful impact for our business, our customers, and the communities we serve.
We value your hard work, integrity and commitment to make things better, and we put people first by offering you benefits that support your life and well-being. To learn more about our benefit offerings please visit: https://www.libertymutualgroup.com/about-lm/careers/benefits
Liberty Mutual is an equal opportunity employer. We will not tolerate discrimination on the basis of race, color, national origin, sex, sexual orientation, gender identity, religion, age, disability, veteran's status, pregnancy, genetic information or on any basis prohibited by federal, state or local law.
Fair Chance Notices
- California
- Los Angeles Incorporated
- Los Angeles Unincorporated
- Philadelphia
- San Francisco
See All 39 Research Engineer Jobs in Massachusetts
Find roles in Massachusetts that match your experience and apply in just a few clicks.
Find Research Engineer JobsResearch Engineer Jobs by City in Massachusetts
Where Massachusetts roles are concentrated, by current openings.
Research Engineer Job Market in Massachusetts
A snapshot from current Massachusetts openings, updated as new roles post.
Who's Hiring
Top Industries Hiring
- Medical Devices
- Technology & Software
- Biotechnology & Pharmaceuticals
- Education
What Massachusetts Employers Look For
The qualifications that appear most often in research engineer jobs across Massachusetts.
- Bachelor's or master's degree in engineering, computer science, or a closely related technical field
- Hands-on experience designing and executing research experiments or prototyping novel systems
- Proficiency with technical tools such as MATLAB, Python, or domain-specific simulation software
- Ability to document research findings and contribute to peer-reviewed publications or technical reports
- Experience collaborating with cross-functional teams including scientists, product engineers, and program managers
- Familiarity with federal research funding environments such as DARPA, NIH, or DOE grant structures
Research Engineer Jobs in Massachusetts: Frequently Asked Questions
How do you become a research engineer in Massachusetts?
Most research engineer roles in Massachusetts require at minimum a bachelor's degree in engineering or a closely related field, with many employers in life sciences and defense preferring a master's or doctoral degree. Massachusetts does not require a state-issued license specifically for the research engineer title, but roles involving certain electrical or civil work may require a Professional Engineer license through the Massachusetts Board of Registration of Professional Engineers and Land Surveyors. Strong candidacy typically also involves documented research experience, publications, or a technical portfolio.
Which companies hire research engineers in Massachusetts?
Employers hiring research engineers in Massachusetts right now include Lila Sciences, MIT Lincoln Laboratory, and RTX, based on current listings on Migrate Mate as of November 2026. Massachusetts's dense concentration of defense contractors, biotech firms, and university-affiliated research labs makes it one of the most consistent states for research engineering hiring year-round.
Which Massachusetts cities have the most research engineer jobs?
Cambridge, Boston, and Lexington account for the largest share of research engineer openings in Massachusetts. Boston and Cambridge dominate due to their concentration of research hospitals, biotech companies, and university spin-offs, while Lowell draws significant hiring from defense and electronics firms with long-standing manufacturing and R&D operations in the region.
Are there remote research engineer jobs in Massachusetts?
Yes, but they're less common than in purely desk-based fields because research engineering often requires access to lab equipment, test facilities, or secure development environments. About 52% of research engineer openings tied to Massachusetts are remote or hybrid as of November 2026, reflecting the hands-on nature of much of the work. Roles focused on computational modeling, data analysis, or software-driven research tend to offer the most flexibility.
How can I get hired as a research engineer in Massachusetts with little or no experience?
The most realistic entry path is through a co-op, research assistantship, or new-graduate program at a major Massachusetts employer or research institution. MIT Lincoln Laboratory, Draper, and several large Boston-area biotech firms run structured new-graduate and associate researcher programs specifically designed for candidates without full professional experience. Applying for roles titled junior research engineer, associate engineer, or research associate at these organizations is a practical first step, and completing a thesis-based master's program or contributing to published research gives candidates a concrete edge in a competitive applicant pool.
Where can I find and apply to research engineer jobs in Massachusetts?
You can find and apply to research engineer jobs in Massachusetts on Migrate Mate, which lists current Massachusetts openings across industries including defense, life sciences, robotics, and semiconductor research. Find roles that fit your background and apply directly to the employers posting them.
See All 39 Research Engineer Jobs in Massachusetts
Find roles in Massachusetts that match your experience and apply in just a few clicks.
Find Research Engineer Jobs