Senior Data Engineer — AI-Driven Data Pipelines (Hybrid)

Liberty Mutual Insurance; Boston (MA); Hybrid; USD 120,000 - 180,000; Full time

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

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.