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sql python data modeling data pipelines geminiπ Description
- Design, build, and maintain core data pipelines and infra for analytics, ML, and AI use cases.
- Own ingestion, transformation, storage, and serving architecture for scalable, reliable data.
- Establish data quality, observability, and reliability standards with SLAs, monitoring, and alerts.
- Partner with analytics, data science, and product teams to translate needs into reusable data models.
- Lead technical initiatives and drive best practices in code quality and testing.
- Ensure data systems meet privacy, security, and compliance requirements for sensitive health data.
π― Requirements
- 8+ years of experience in data, platform, or backend engineering.
- Strong SQL skills and proficiency in a general-purpose language (Python preferred).
- Hands-on experience building and maintaining production data pipelines at scale.
- Experience with modern data platforms, cloud data warehouses, and orchestration tools.
- Strong understanding of data modeling, pipeline reliability, and system design trade-offs.
- Proven ability to work cross-functionally and translate business needs into technical solutions.
π Benefits
- PTO policy with a minimum of three weeks off per year.
- Free therapy coverage to ensure access to care.
- Comprehensive Medical, Dental, and Vision coverage, including an HSA.
- 401(k) with 100% match up to 4% of base salary (immediately vested).
- Eight weeks of paid Parental Leave.
- Join teammates from across the country at our annual company gathering.
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