Data Engineer

Basic QualificationsMinimum 8+ years of overall Data Engineering / Software Engineering experience delivering enterprise-scale data solutions.Minimum 5+ years of strong hands-on Data Engineering experience, including design, development, optimization, and support of production data pipelines.Minimum 3+ years of hands-on Databricks experience, including production experience with:Delta LakeMedallion Architecture – Bronze / Silver / GoldUnity CatalogMinimum 5+ years of hands-on Spark experience, with strong expertise in PySpark specifically, rather than Scala-only Spark development.Minimum 3+ years of AWS data-platform experience, using services such as S3, Glue, Lambda, EMR, Redshift, Kinesis, or related AWS technologies.Minimum 2+ years of experience leading complex data-engineering initiatives, technical workstreams, or engineering teams while remaining hands-on technically.Proven experience combining data engineering and software-engineering practices, including modular development, testing, source control, CI/CD, observability, and production support.Demonstrated daily hands-on use of GitHub Copilot and/or Claude Code CLI, with the ability to describe concrete examples of how these tools are used to accelerate engineering work.Demonstrated ability to build POCs and MVPs rapidly using AI-assisted development.Strong understanding of distributed data-processing principles, large-scale pipeline design, performance optimization, data quality, and production operations.Strong SQL skills and experience working with large enterprise datasets.