Back to jobs

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

Pay
Pay not listedSimilar roles state $127K–$190K
Work setting
Not stated
Employment
Full-time — employment source
Employment type in the employer’s posting: FULL_TIME
From the employer’s posting

What you’ll work on

Full 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

From the employer’s posting
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

What you’ll bring

All qualifications

Core experience

  • 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.
Qualification wording
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.
Education & alternatives
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.

About Libertymutual

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

Apply at Libertymutual

Posting record

Report an error

Actively hiringFirst seen by us 2 days ago, still listed, and not a repost of an earlier posting.

Status in our records
Live
First seen by us
Nov 2, 20262 days ago
Recorded sightings
1

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

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.

Time since we first saw it

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.

Libertymutual is hiring

9 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Hiring at a steady pace
  • Takes jobs down quickly
Hiring record

See how this role fits your experience

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.

  • Python
  • SQL
  • AWS
  • dbt
  • PostgreSQL
  • S3
  • Snowflake
Where the posting names them
- 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.

Your next step

Complete your application on careers-libertymutual.icims.com. The employer’s form will show what is required.

Applying through iCIMS

  • You start with your email. New applicants then create a login, and returning ones sign in.
  • Upload your resume before you fill anything in: iCIMS fills some profile fields from it.
  • Check your status on the employer’s iCIMS Dashboard, under Past Job Submittals.

Already applied? Track this application

About the role

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.

US government figures for database architects

Median yearly pay, May 2025
$139,500
Expected change, 2025 to 2035
9.4% more jobsagainst 3.5% for all jobs

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.

Job description

View original posting ↗

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 
Source details

View original posting ↗

Source notes

Source excerpts

Selected passages from the saved posting. Check the full description for conditions and exceptions.

Pay

No pay amount identified in the saved description.

Location & working pattern

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
Work authorization

No clear work-authorization passage found. Eligibility is unconfirmed.

Find answers in the posting

AI
How answers work

AI selects complete passages from this posting. Check them for conditions and exceptions.

Uses this posting and your question. No profile needed.