Senior Data Platform Engineer
Summary
Senior Data Engineer building and maintaining a data platform — pipelines, warehouses, ML infrastructure, and databases — using SQL and Python at a mission-driven workforce development technology company, partnering with data scientists to support product scale, quality, and governance.
Build reliable data platforms with SQL and Python for a mission-driven workforce development technology company supported by Rockstar.
As a Senior Data Engineer, you will evolve core data infrastructure spanning pipelines, warehouses, machine learning models, and databases. You will combine technical expertise with business intuition to support product quality and meaningful outcomes. The work includes partnering with data scientists and surrounding teams.
Key Responsibilities:
- Build and maintain pipeline orchestration, warehouses, and machine learning infrastructure
- Develop data solutions enabling product scale and quality
- Uphold governance, accuracy, accessibility, and compliance across systems
- Integrate cross-platform data for product, engineering, and GTM needs
- Evolve foundational models with high-value data sources
Requirements:
- Use SQL and Python professionally for analysis
- Build and maintain pipelines, warehouses, and infrastructure
- Translate ambiguous business problems into actionable insights
- Communicate technical insights to varied stakeholders
- Model structured and unstructured data, including MongoDB
Apply SQL, Python, pipeline, and data modeling expertise to strengthen a reliable platform for workforce development solutions.