Staff Data Engineer
Los Angeles, California, United States
USD 210K-255K Senior-level Full Time
Tasks
- Architect end to end data foundation on Databricks
- Build dashboards
- Build ingestion pipelines from AWS and GCP
- Build reports and tooling for experimentation insights
- Build validation and structured output layers
- Conduct design reviews
- Create semantic layers
- Define and manage metrics
- Define dimensional models
- Design and build data pipelines
- Design evaluation frameworks
- Enforce code quality and security practices
- Hand off scalable systems to engineering teams
- Instrument observability for LLM pipelines
- Manage observability and cost controls
- Mentor engineers and analysts
- Own reliability of AI systems
- Partner to move prototypes into production
- Perform exploratory analyses
- Write SQL for exploratory analysis
Perks/Benefits
- 401k with employer match
- Commuter benefit
- Dental insurance
- Dependent care FSA
- Flexible time off
- Health Savings Account (HSA)
- Health care FSA
- Health insurance
- Life insurance
- Pet insurance
- Pet-friendly offices
- Support program for new parents
- Vision insurance
Skills/Tech-stack
AWS | Airflow | Apache Spark | DBT | Dagster | Data Modeling | Data Pipelines | Databricks | Databricks SQL | Datadog | Delta Lake | Dimensional Modeling | Google Cloud | LLM Observability | Langfuse | Langsmith | PySpark | Python | SQL | Scala | Semantic Modeling | Structured Output | Unity Catalog
Education
N/A
Roles
Regions
Countries
States
Cities
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