Principal Data Engineer, Global Liquid Markets-Public Markets and Research

Posted Yesterday
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Boston, MA, USA
Hybrid
128K-225K Annually
Senior level
Artificial Intelligence • Fintech • Insurance • Marketing Tech • Software • Analytics
Join us, and pursue your tomorrow, today.
The Role
Leads data engineering across investment technology squads while remaining hands-on. Designs scalable Snowflake and AWS data platforms, market-data pipelines, data models, testing strategies, and quality standards. Applies AI and agentic tools to improve engineering workflows, partners with product and technology leaders on data roadmaps, and mentors engineers. The role supports institutional investment and public-markets research data products.
Summary Generated by Built In
Description
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.

About Us
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

$128,000.00 - 225,000.00

Skills Required

  • Bachelor's degree in a technical or business field, or equivalent hands-on experience
  • 8+ years of experience in data engineering
  • Proven experience delivering scalable, high-performing data pipelines and production data architecture
  • Experience using AI tools to improve work speed, quality, and scale, with responsible validation and data protection
  • Experience with institutional investment or asset management data, ideally public markets and research
  • Expert SQL skills and strong knowledge of data modeling, warehousing, and architecture
  • Expert-level experience designing scalable Snowflake and AWS data solutions, including data models, ETL/ELT, performance optimization, and engineering best practices
  • Proficiency in Python for data transformation, integration, and workflow automation
  • Hands-on experience with AWS data and application services including S3, Lambda, RDS PostgreSQL, API Gateway, and IAM
  • Hands-on CI/CD experience using GitHub Actions or similar tools
  • Experience building automated data quality and testing into pipelines using dbt, iceDQ, or similar tools
  • Experience leading technical work, guiding design decisions, mentoring engineers, or setting technical direction

What the Team is Saying

Natalie
Antonio
Tyler
Sandra
Kemi
Herman
Chase
Ethan
Sandra

Liberty Mutual Insurance Compensation & Benefits Highlights

  • Retirement Support — Retirement benefits are highlighted by a 401(k) with a 100% match on the first 5% of pay per period plus an additional 3% annual match for eligible employees. This structure is presented as a notable strength of the total rewards package.
  • Leave & Time Off Breadth — Paid time off, flexible time off, and 13 holidays are included alongside multiple paid and unpaid leave options. This breadth signals strong support for time away and work-life needs.
  • Parental & Family Support — Parents receive eight weeks of paid bonding leave, with birth parents potentially reaching 16 weeks through short‑term disability, and benefits include fertility coverage and up to $40,000 for adoption or surrogacy. These provisions indicate robust family‑building support.

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The Company
HQ: Boston, MA
40,000 Employees
Year Founded: 1912

What We Do

Liberty Mutual Insurance exists to help people embrace today and confidently pursue tomorrow. A Fortune 100 company and global leader in property and casualty insurance, we’ve spent over a century creating innovative products, services and technologies to meet the world’s ever-changing needs and make a difference for our customers and communities.

Why Work With Us

We offer the agility, work flexibility, project ownership and access to emerging tech you’d expect from a start-up — combined with the stability, resources and benefits that come from working at a leading Fortune 100 company. All in a welcoming, inclusive environment that values the unique insights, perspectives and backgrounds of each person.

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Liberty Mutual Insurance Teams

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About our Teams

Liberty Mutual Insurance Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

Typical time on-site: Flexible
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HQBoston, MA
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