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Liberty Mutual

Senior Data Engineer

Liberty Mutual
Indianapolis, IN $106k - $197k/yr Full time Posted 1d ago
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
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Job Description

Senior Data Engineer designs and builds scalable data pipelines and cloud based data solutions within Liberty Mutual's Frontier and PL Distribution space, in a hybrid U.S. role based in Indianapolis with two in office days per week in Boston, Portsmouth, or Indianapolis, salary USD 106,000 - 197,000 per year.

Responsibilities

  • Design, develop, and maintain scalable data pipelines, data models, and integration processes using cloud technologies such as AWS and Snowflake.
  • Analyze complex data sets and technical problems to craft effective, flexible data solutions aligned with business needs.
  • Collaborate 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.
  • Create automated tests across unit, system, integration, and regression scopes to verify 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 opportunities for continuous improvement across data engineering processes and tooling, and recommend changes.
  • Collaborate with engineers and architects, contribute to code reviews, and uphold engineering best practices.
  • Leverage AI assisted development tools such as GitHub Copilot.

Requirements

  • Bachelor’s degree in computer science, engineering, information systems, or a related technical or business discipline, or equivalent experience.
  • 5 to 6 years of experience in data engineering, data analytics, or a related technical role.
  • Strong SQL skills, including writing complex queries, data modeling, and work 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.
  • Experience working 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, able 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.

Technologies

  • AWS
  • Snowflake
  • IDMC
  • GitHub Copilot
  • Git

Benefits

  • Comprehensive benefits package
  • Workplace flexibility
  • Professional development opportunities
  • Employee Resource Groups opportunities

Fair Chance Notices

  • California
  • Los Angeles Incorporated
  • Los Angeles Unincorporated
  • Philadelphia
  • San Francisco

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