Pay
$127K–$190K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 2,133 postings in the last year. Stated ranges, not salaries paid.
Employment type in the employer’s posting: FULL_TIMEFrom the employer’s posting
Design and run automated data pipelines on Snowflake and AWS for market and vendor data
Design data models behind analytics and applications used in investment decisions
Own the testing strategy, from unit tests in pipelines to regression checks
Use AI and agentic tools to speed up building, testing and automating pipelines
Turn business needs into a prioritized data roadmap with product owners and tech leads
Design and run automated, high-performance data pipelines on Snowflake and AWS
Design the data models behind scalable products that power analytics and applications
Own the testing strategy, from unit tests built into the pipeline to independent regression testing
Use AI to speed up how the squads build, test, and operate data pipelines
Partner with product owners and tech leads to translating what the business needs into a clear, prioritized data roadmap
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).
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.
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.
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.
In the employer’s words · Read in context
Actively hiringFirst seen by us 2 days ago, still listed, and not a repost of an earlier posting.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
$127K–$190K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 2,133 postings in the last year. Stated ranges, not salaries paid.
Day 2
Early. Similar jobs usually come down between day 6 and day 54.
At Libertymutual, jobs usually come down by about day 10.
From 10,957 similar postings that came down, and 27 of Libertymutual’s. Coming down is not always a hire.
9 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- 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.
- 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
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.
- 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.
- 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.
- 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.
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We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
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.
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.
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
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Boston, MA
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
No clear work-authorization passage found. Eligibility is unconfirmed.