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snowflake sql python dbt pyspark📋 Description
- Build data pipelines for lab, factory, and field data.
- Build, review, and optimize data models/transformations with dbt and PySpark.
- Lead development and maintenance of internal data apps.
- Define metrics with R&D, product engineering, and manufacturing.
- Work with teams to ensure data consistency across sources amid schema migrations.
- Participate in on-call rotation as part of a distributed software team.
🎯 Requirements
- 8+ years of production software or data engineering experience.
- Python and SQL expertise; FastAPI/Flask; dbt, Dagster, PySpark.
- Git fluency and AWS S3/EC2/RDS proficiency.
- Strong SDLC; experience with TDDs and/or RFCs desired.
- OLAP/time-series DB experience: Snowflake, Databricks DBSQL, ClickHouse, InfluxDB.
- Electrochemistry knowledge desired but not required.
🎁 Benefits
- Relocation assistance available.
- 100% medical, dental, and vision for employees.
- 80% of healthcare premiums for dependents.
- 12 weeks paid parental leave (up to 20 weeks for birthing parents).
- Stock options and holistic benefits package.
- Equal opportunity employer.
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