Data Engineer

• Builds modular code / libraries / services / etc using modern data engineering tools (Python/Spark, Kafka, Storm, …) and orchestration tools (e.g. Google Workflow, Airflow Composer)
• Produces well-engineered software, including appropriate automated test suites and technical documentation
• Develop, measure, and monitor key metrics for all tools and services and consistently seek to iterate on and improve them
• Ensure consistent application of platform abstractions to ensure quality and consistency with respect to logging and lineage
• Fully versed in coding best practices and ways of working, and participates in code reviews and partnering to improve the team’s standards
• Adhere to QMS framework and CI/CD best practices
• Provide L3 support to existing tools / pipelines / services

Data Engineer II

Scientific Data Engineer

Senior Data Engineer

Data Engineer – Active Grid Response

Staff Data Engineer