Senior Data Engineer

Liberty Mutual Insurance

Boston (MA)

Hybrid

USD 120,000 - 180,000

Full time

9 hours ago

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Job summary

Liberty Mutual Insurance is seeking a Senior Data Engineer to join the Data and Analytics Engineering team in the PL Product/Finance and Vendor Extract space. You’ll design and scale data pipelines, model data, and collaborate with stakeholders to deliver data solutions in an agile setting.

The role emphasizes cloud-based tooling (AWS, Snowflake), data quality, automated testing, and governance. Hybrid work requires two days in the office, with Boston as a tech hub location.

Qualifications

Bachelor’s degree in CS/Engineering/IS or equivalent experience.
5–6 years in data engineering, analytics, or related technical roles.
Strong SQL, data modeling, and experience with cloud data platforms.

Responsibilities

Design, develop, and maintain scalable data pipelines and data models using cloud tech (AWS, Snowflake).
Analyze complex data sets to design flexible, data-driven solutions for business needs.
Collaborate with product owners and stakeholders to translate requirements into data solutions.
Build/maintain ETL/ELT pipelines from internal and external sources (APIs, flat files, apps).
Implement data quality checks, validations, and monitoring to ensure data integrity.
Develop automated tests across unit, system, and integration scopes.
Document data flows, dictionaries, and technical specifications for governance.

Skills

SQL

Data Engineering

Cloud/AWS

Snowflake

ETL/ELT

Git

CI/CD

Data Modeling

Analytics

Communication

Education

Bachelor’s degree in computer science

Engineering

Information Systems

Tools

IDMC

Git

Job description

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.

Description

U.S. based role only

We cannot consider candidates that require visa sponsorship or candidates that currently are on an F1 or OPT visa.

This is a hybrid role requiring two days a week in the office (Tech hub office locations are located in Boston, Portsmouth, Indianapolis, Columbus, and Plano.)

We are seeking a Senior Data Engineer with strong analytical skills to join our growing Data and Analytics Engineering team in the PL Product/Finance and Vendor Extract 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
Actively uses 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.

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
Curious and open to exploring some mainframe 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

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://LMI.co/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.

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