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snowflake sql python dbt flask📋 Description
- Build and improve data pipelines across lab, factory, and field
- Develop and optimize data models/transformations with dbt and PySpark
- Lead development and maintenance of internal data applications
- Define metrics with partner teams across R&D, product, and manufacturing
- Ensure data consistency across sources and downstream services
- Participate in on-call rotation as part of a distributed team
🎯 Requirements
- 5+ years in software or data engineering on production code
- Python and SQL expert; FastAPI/Flask; dbt, Dagster, PySpark
- Git proficiency; AWS S3, EC2, and RDS
- SDLC expertise; experience with TDDs and RFCs
- Experience with OLAP/time-series DBs like Snowflake, Databricks DBSQL, Clickhouse, InfluxDB
- Curiosity, creativity, and tenacity in problem solving
🎁 Benefits
- Competitive salaries and stock options
- Comprehensive health benefits for employees
- Dependent coverage (80% premiums)
- 12+ weeks parental leave (up to 20 weeks for birthing)
- Generous vacation policy
- Accommodations available for interview process
🚚 Relocation support
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