This position is no longer accepting applications
Closed on September 1, 2026.
This role is filled — get an email when new Data Processing roles open on EngineerJobs.io:
Senior Data Engineer
Senior
Data Analysis
Data Architecture
Data Engineer
Data Governance
Data Integration
Data Management
Data Pipeline
Data Platform
Data Processing
Data Warehouse
Database
Databases
ETL
Integration
SQL
View similar jobs
Get alerted when similar jobs are posted — set up a New Data Processing jobs on EngineerJobs.io alert.
See other roles at Liberty Mutual.
Job Description
Liberty Mutual is seeking a Senior Data Engineer to design and build scalable data pipelines and data solutions within the Frontier and PL Distribution space. This role leverages cloud-based technologies to enable robust data capabilities across the organization. It is a hybrid, U.S.-based position with two days in the office per week in Boston, Portsmouth, or Indianapolis, reflecting Liberty Mutual's flexible work model.
Compensation
Salary: USD 106,000 - 197,000 per year
Responsibilities
- Design, develop, and maintain scalable data pipelines, data models, and integration processes using modern cloud-based technologies such as AWS and Snowflake.
- Analyze complex data sets and technical problems to craft effective, flexible, and innovative solutions that meet business needs.
- Collaborate with Product Owners, business stakeholders, and cross-functional teams to translate 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 Unit, System, Integration, and Regression scopes 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, contribute to code reviews, and uphold engineering best practices.
- Leverage AI-assisted development tools like GitHub Copilot to enhance delivery.
Requirements
- 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 and AWS.
- Analytical and problem-solving skills with the ability to interpret and communicate data-driven insights.
- Experience working in an agile, squad-based environment with cross-functional teams.
- Proactive, self-motivated, and detail-oriented with strong communication skills to 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.
Technologies
- AWS
- Snowflake
- IDMC
- GitHub Copilot
- Git
Benefits
- Comprehensive benefits
- Workplace flexibility
- Professional development opportunities
- Employee Resource Groups opportunities
Fair Chance Notices
- California
- Los Angeles Incorporated
- Los Angeles Unincorporated
- Philadelphia
- San Francisco
Similar Jobs
