✦ Luna Orbit — Data & Analytics

Senior Data Engineer, Data Science Infrastructure

at Liberty Mutual Insurance Group

📍 Remote, Remote, United States Remote Posted March 26, 2026
Type Not Specified
Experience senior
Exp. Years Not specified
Education Not specified
Category Data & Analytics

Liberty Mutual Insurance Group seeks a senior data engineer to develop and maintain data science infrastructure, optimize data pipelines, and support analytics initiatives in a remote setting.

  • Develop data pipelines
  • Maintain data infrastructure
  • Optimize data workflows
  • Collaborate with data science teams
  • Implement cloud-based data solutions

The role involves working with data engineering tools, cloud platforms like AWS, Azure, or Google Cloud, and programming in Python and SQL to support data science and analytics infrastructure.

The ideal candidate is a senior data engineer with experience in data science infrastructure, proficient in Python and SQL, and familiar with cloud platforms such as AWS, Azure, or Google Cloud. They should have strong problem-solving skills and experience working remotely.

Data EngineeringPythonSQL
Data ScienceCloud PlatformsBig DataETL
AWSAzureGoogle Cloud PlatformDataBricksSnowflake
Data EngineeringPythonSQLCloud PlatformsData Science Infrastructure
Data EngineeringPythonSQLData Science InfrastructureCloud Platforms
CommunicationCollaborationProblem-solvingAdaptability

Preferred

AWS Certified Data Analytics - SpecialtyGoogle Cloud Professional Data Engineer
Industry Insurance
Job Function Data engineering and infrastructure support for data science and analytics
Role Subtype Data Engineer
Tech Domains Python, SQL, Amazon Web Services, Azure, Google Cloud Platform
Data EngineerPythonSQLData Science InfrastructureAWSAzureGoogle Cloud PlatformETLBig DataDataBricksSnowflakeRemoteData AnalyticsData ScienceCloud PlatformsData Infrastructuredata engineerpythonsqlcloud platformsbig dataetldata science infrastructureremotedata analyticsdata infrastructure

Lack of experience with cloud data platforms, No proficiency in Python or SQL, No experience with data engineering or data science infrastructure

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