Data Engineer

• Build, maintain, test, and support moderate-complexity ETL/ELT pipelines, transformations, and data components
• Own defined pipeline components from implementation through testing, deployment, documentation, and production support
• Troubleshoot pipeline failures, data quality issues, and performance problems; identify root causes and implement maintainable fixes
• Contribute to technical designs, estimates, and implementation plans
• Apply practices for data modeling, testing, code review, observability, security, source control, CI/CD, and operational support
• Monitor pipeline performance and reliability, surface risks and blockers, and improve quality, efficiency, and maintainability
• Develop working knowledge of Claims and Consumer data structures, transformations, dependencies, and quality standards
• Collaborate with engineers, QA, analysts, Product, Support, and data consumers
• Assess downstream impacts of data and schema changes and support vendor-delivered data sources and customer issues
• Participate in code reviews, pairing, sprint activities, technical discussions, documentation, and knowledge sharing
• Support less-experienced engineers through knowledge sharing and constructive review feedback
• Use approved AI-assisted development tools responsibly

Explore Data Engineer at Definitive Healthcare. Review requirements and application details.

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