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Senior Data Platform Engineer

seniorhybridSeattle, Washington, USScore 75.5/1002d ago
Market insights
📊 Data Engineering: salaries and demand on the market
Stack
airflowastroci/cddatabrickspythonsqlterraform
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Description
Required Skills - • Hands-on Databricks experience across workspace, notebooks, and jobs, plus building platform capabilities on it (not just using it). - • Strong Python and SQL. - • Platform-engineering foundation: infrastructure as code with Terraform and modern CI/CD. - • Data governance and observability in a managed environment (e.g. Unity Catalog, lineage, monitoring). - • Strong workflow orchestration experience with Apache Airflow (we use Astro / Astronomer). - • Building and operating data pipelines that integrate disparate, heterogeneous data sources. - • Building reusable, self-service data products for non-engineer end users (researchers/analysts). - • An AI-first mindset: fluent with agentic coding tools (e.g. Claude Code) and eager to make them central to how the team works.
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