Senior Data Engineer

Liberty Mutual

Boston (MA)

Hybrid

USD 106,000 - 197,000

Full time

14 days+

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Benefits offered by this job

Hybrid work model
Flexible time off 20 days

Job summary

Liberty Mutual is seeking a Senior Data Engineer to join our Data and Analytics Engineering team in the Frontier and PL Distribution space. You will design and maintain scalable data pipelines, analyze complex data, and collaborate with stakeholders to translate business needs into robust data solutions.

The role requires 5-6 years in data engineering, strong SQL and data modeling skills, and experience with Snowflake and AWS in an Agile environment.

Qualifications

  • Bachelor’s degree in computer science, engineering, information systems, or related field (or equivalent experience).
  • 5-6 years of experience in data engineering or related role.
  • Strong proficiency in SQL and data modeling.
  • Experience with Snowflake, AWS, or similar cloud data platforms.
  • Experience in agile, squad-based environment.
  • Experience with data integration and ETL/ELT tools such as IDMC.
  • Familiarity with CI/CD, Git, and software development best practices.

Responsibilities

  • Design, develop, and maintain scalable data pipelines and data models using cloud tech.
  • Analyze complex data sets to design flexible data solutions.
  • Collaborate with stakeholders to translate requirements into data solutions.
  • Build and support ETL/ELT pipelines from internal and external sources.
  • Implement data quality checks, validations, and monitoring.
  • Develop automated tests for data solutions.
  • Perform data profiling and root cause analysis.
  • Document data flows and data dictionaries.
  • Identify opportunities to improve data engineering processes.
  • Contribute to code reviews and engineering best practices.
  • Leverage AI-assisted development tools like GitHub Copilot.

Skills

SQL
Snowflake
AWS
ETL/ELT
Data Modeling
Agile
Data Quality
CI/CD
Git
APIs

Education

Bachelor's degree in Computer Science

Tools

IDMC
Git
GitHub Copilot
CI/CD
Snowflake
AWS

Job description

Senior Data Engineer

Job Locations: US-MA-Boston | US-NH-Portsmouth | US-IN-Indianapolis

ID: 2026-76862

Position Type: Full-Time

Minimum Salary: USD $106,000.00/Yr.

Maximum Salary: USD $197,000.00/Yr.

Typical Starting Salary: 140-155k

Flexible Time Off Annual Accrual - days: 20

Description

At Liberty Mutual, technology isn't just a part of our business — it's what drives us forward. We deliver our customers peace of mind every day by helping them protect what they value most. Our passion for placing the customer at the center of everything we do is driving a transformational shift at Liberty Mutual.

Hybrid role requiring 2 days in the office a week in Boston, Portsmouth, or Indianapolis

This is a U.S. based role

We are seeking a Senior Data Engineer with strong analytical skills to join our growing Data and Analytics Engineering team in the Frontier and PL Distribution space. This is an exciting opportunity for an engineer who brings a blend of technical data engineering expertise and business analyst instincts — someone who not only builds data solutions but deeply understands the data they work with and the business problems they solve.

Operating as an agile team within a Fortune 100 company, you will be on the front edge of an IT transformation, working collaboratively with business stakeholders, data scientists, and engineering peers to design and deliver high-quality data solutions.

Key Responsibilities
  • Design, develop, and maintain scalable data pipelines, data models, and integration processes using modern cloud-based technologies (AWS, Snowflake, etc.)
  • Analyze complex data sets and technical problems to design effective, flexible, and innovative solutions that meet business needs
  • Collaborate closely with Product Owners, business stakeholders, and cross-functional teams to translate business requirements into technical data solutions
  • Build and support ETL/ELT pipelines for structured and unstructured data from internal and external sources, including APIs, flat files, and enterprise applications
  • Implement data quality checks, validation rules, reconciliations, exception handling, and monitoring to ensure data integrity
  • Develop automated tests across multiple scopes (Unit, System, Integration, Regression) to ensure reliability and accuracy of data solutions
  • Perform data profiling, root cause analysis, and troubleshooting of data issues across production and non-production environments
  • Document data flows, data dictionaries, and technical specifications to support data governance and knowledge sharing
  • Identify and recommend continuous improvement opportunities across data engineering processes and tooling
  • Collaborate with engineers and architects, and actively contribute to code reviews and engineering best practices
  • Leverage AI-assisted development tools like GitHub Copilot
Qualifications
  • Bachelor’s degree in computer science, Engineering, Information Systems, or a related technical or business discipline (or equivalent experience)
  • 5-6 years of experience in data engineering, data analytics, or a related technical role
  • Strong proficiency in SQL, including writing complex queries, data modeling, and working with relational and analytical databases
  • Familiarity with cloud-based data platforms and tools such as Snowflake, AWS or similar technologies
  • Strong analytical and problem-solving skills with the ability to interpret and communicate data-driven insights
  • Demonstrated ability to work in an agile, squad-based environment with cross-functional teams
  • Proactive, self-motivated, and a logical thinker with strong attention to detail
  • Excellent written and verbal communication skills, with the ability to clearly convey technical concepts to non-technical stakeholders
  • Experience with data integration and ETL/ELT tools such as IDMC
  • Familiarity with CI/CD pipelines, version control (Git), and software development best practices
Preferred
  • Understanding of Cloud / Hybrid data architecture concepts
  • Exposure to data governance, data quality frameworks, or master data management concepts
  • Experience in the insurance or financial services industry is a plus
  • Guidewire experience a plus.
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
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