• Develop and maintain data pipelines that process healthcare claims, enrollment, and related administrative data • Own components of data pipelines end-to-end, from raw data processing through final analytic outputs • Translate technical specifications and business rules into well-structured, maintainable code • Work with large-scale healthcare datasets (tens to hundreds of millions of rows) within the VRDC's secure computing environment • Perform data validation, quality checks, and reconciliation to ensure analytic accuracy • Identify opportunities to improve code quality, reduce duplication, and strengthen testing, validation, and documentation • Ensure reproducibility and traceability of results across data refreshes and measurement years • Communicate technical findings, methodology, and data issues clearly to actuarial and consulting staff • Manage concurrent workstreams across multiple measurement years and data refresh cycles

Role Description Build distributed, scalable, and reliable data pipelines that ingest and process data at scale and in real-time. - Create metrics and apply business logic using Spark, Scala, R, Python, and/or Java. - Model, design, develop, code, test, debug, document and deploy an application to production through standard processes. - Harmonize, transform, and move data from a raw format to consumable, curated views. - Analyze, design, develop, and test applications. - Contribute to the maturation of Data Engineering practices, which may include providing training and mentoring to others. - Perform Data Designer activities to transform raw data to meaningful datasets and extracts, such as business logic design, source-to-target mappings, data sourcing strategy, and transformation rules. - Apply strong Data Governance principles, standards, and frameworks to promote data consistency and quality while effectively managing and protecting the integrity of corporate data. - Collaborate with cross-functional teams including data scientists, analysts, and business stakeholders to gather requirements and deliver data solutions aligned with business goals. - Document technical specifications, data flow diagrams, and operational procedures to support knowledge transfer and audit requirements. - Develop ETL/ELT workflows using Python, PySpark, and SQL to transform raw data into structured formats suitable for downstream consumption. - Ensure data quality and integrity through the implementation of data validation, monitoring, and alerting mechanisms using tools like AWS CloudWatch, Glue DataBrew, and custom scripts. - Position requires up to 5% domestic (US) travel. - Telecommuting permitted up to 100%. Qualifications - Employer will accept a Bachelor’s degree (or foreign equivalent) in Computer Science, Electronics Engineering, Information Systems or related field and 3 years of experience in the job offered or in a Data Engineer-related occupation. - Position requires demonstrable experience with the following: - Relational database systems, including one of the following: SQL Server, MySQL, or PostgreSQL. - Data Warehousing Platforms including one of the following: AWS Redshift, Teradata, SQL Server. - ETL tools and data integration frameworks including one of the following: AWS Glue or Apache Spark. - Demonstrated ETL development and data modeling experience. - Demonstrated Data analysis skills and data profiling. - Demonstrated GIT Version Control and CI/CD frameworks including one of the following: Bamboo, Github Actions. - XP and Atlassian products including Jira and Confluence. - Python, Java, or Scala. - Demonstrated strong knowledge and experience with SQL. - Demonstrated understanding of property and casualty insurance data knowledge. - Position requires up to 5% domestic (US) travel. - Telecommuting permitted up to 100%. - Multiple Positions Available. Requirements - To apply, please visit https://jobs.libertymutualgroup.com/ , select “Search Jobs,” enter job requisition #2026-75725 in the “Job ID or Keywords” field, and submit resume. - Alternatively, you may apply by submitting a resume via e-mail to RecruitLM@LibertyMutual.com . Reference requisition number in subject of e-mail. Benefits - 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 Company Description 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.

• Design and evolve the architecture of the data platform and storage systems. • Build reliable ETL/ELT processes and develop scalable data pipelines for delivering data into a centralized analytical warehouse. • Maintain and further develop the Data Warehouse. • Collaborate with engineering and analytics teams on system design and architectural decisions. • Ensure data governance and maintain high standards of data quality. • Write and optimize queries for MongoDB and ClickHouse. • Manage and maintain workflows in Airflow.

• Design the company’s cloud and data architecture • Partner with enterprise architects and IT teams to define solution architectures • Support modernization initiatives aligned with company’s vision • Influence architectural decisions and standards • Collaborate with business and engineering teams to design end to end solutions