Remote job
Senior Data Engineer
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About this role
Role overview
Own the development and ongoing operation of a cloud data platform that serves analytics, reporting, and AI consumers. The work spans ingestion, orchestration, and governed warehouse models, with an emphasis on defining trusted transformations and metrics once for consistent reuse.
Responsibilities - Build and maintain scalable pipelines and platform infrastructure in Snowflake, from source ingestion through refined data layers. - Design and operate orchestrated workflows, with monitoring, alerting, recovery, and clear dependencies for upstream and downstream systems. - Develop documented, tested, version-controlled warehouse models and shared metric definitions using dbt or comparable tools. - Improve platform reliability, performance, cost efficiency, and maintainability; establish standards for CI/CD, testing, and documentation. - Partner with analytics and reporting stakeholders, and shape data structures for consistent use by automated analytical systems. - Use AI-assisted coding tools in development and help define effective engineering practices for them.
Requirements - At least five years of hands-on data engineering experience building pipelines, models, and platform infrastructure. - Production experience with Snowflake, including data modeling, performance tuning, and cost management. - Experience operating Apache Airflow or a comparable DAG-based orchestration tool, and using dbt or equivalent warehouse modeling tools. - Strong SQL skills and experience designing new data systems, as well as maintaining platforms over time. - Familiarity with Git, CI/CD, automated tests, code review, and AI-assisted development workflows. - Ability to translate business needs into technical decisions and communicate them clearly.
Nice to have - Background in healthcare, pharmacy benefits, or another regulated industry; cloud infrastructure experience on AWS, Azure, or GCP. - Experience with data governance, data contracts, data mesh, streaming pipelines, metrics or semantic layers, or client-facing data products.