Senior Data Engineer - Cloud Data Pipelines & AI Tools
Liberty Mutual Insurance
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Job summary
Liberty Mutual Insurance is seeking a Senior Data Engineer to join the Data and Analytics Engineering team in the PL Product/Finance and Vendor Extract space. You will design and maintain scalable data pipelines and models in a cloud environment, collaborating with stakeholders to translate business needs into technical solutions.
You will work in an agile, squad-based setting within a Fortune 100 company, contributing to code reviews, CI/CD practices, and AI-assisted development tools to
Qualifications
- Bachelor’s degree in computer science, engineering, information systems, or related field or equivalent experience.
- 5–6 years of experience in data engineering, analytics, or related technical role.
- Strong proficiency in SQL with complex queries and data modeling.
- Familiarity with cloud data platforms such as Snowflake and AWS.
Responsibilities
- Design, develop, and maintain scalable data pipelines and data models using modern cloud technologies.
- Analyze complex data sets and design flexible data solutions meeting business needs.
- Collaborate with product owners and stakeholders to translate requirements into data solutions.
- Build and support ETL/ELT pipelines from internal and external sources including APIs and files.
- Implement data quality checks, validation, and monitoring for data integrity.
- Develop automated tests to ensure reliability and accuracy of data solutions.
- Profile data, troubleshoot issues across environments, and document data flows.
Skills
Education
Tools
Job description
Liberty Mutual Insurance is seeking a Senior Data Engineer to join the Data and Analytics Engineering team in the PL Product/Finance and Vendor Extract space. You will design and maintain scalable data pipelines and models in a cloud environment, collaborating with stakeholders to translate business needs into technical solutions.
You will work in an agile, squad-based setting within a Fortune 100 company, contributing to code reviews, CI/CD practices, and AI-assisted development tools to
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