Data Engineer @Liberty Mutual Insurance
Data Analysis
Salary usd 105,997 - 1..
Remote Location
🇺🇸 USA Only
Job Type full-time
Posted 2d ago

[Hiring] Data Engineer @Liberty Mutual Insurance

2d ago - Liberty Mutual Insurance is hiring a remote Data Engineer. 💸 Salary: usd 105,997 - 146,000 per year 📍Location: USA

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 [email protected] . 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.

Before You Apply
🇺🇸 Be aware of the location restriction for this remote position: USA Only
Beware of scams! When applying for jobs, you should NEVER have to pay anything. Learn more.
Data Engineer @Liberty Mutual Insurance
Data Analysis
Salary usd 105,997 - 1..
Remote Location
🇺🇸 USA Only
Job Type full-time
Posted 2d ago
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🇺🇸 Be aware of the location restriction for this remote position: USA Only
Beware of scams! When applying for jobs, you should NEVER have to pay anything. Learn more.
Apply for this position
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Applied
Sent Follow-Up
Interview Scheduled
Interview Completed
Offer Accepted
Offer Declined
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