Director, Product Data Engineering
Hybrid - Palo Alto, CA | Remote - US
R
USD 195K-240K Executive-level Full Time
Tasks
- Build and lead data engineering team
- Build data transformation and validation notebooks
- Collaborate with client integration teams on deployments
- Create prompt engineering model serving evaluation frameworks
- Define technical standards for notebooks pipelines QC modules documentation
- Develop reusable data provisioning modules IaC and pipeline tooling
- Develop team members and engineering culture
- Lead agentic LLM call development in data pipelines
- Maintain data spec documentation
- Own product data engineering backlog
Perks/Benefits
- Flexible working hours
- Hybrid work option
- Inclusive work environment
- Medical/Dental/Vision insurance
Skills/Tech-stack
Apache Spark | Azure | Azure Databricks | Azure Fabric | Bicep | CI/CD | Data Factory | Databricks | Delta Lake | EPIC Clarity | Evaluation Frameworks | FHIR | GitHub Actions | Infrastructure as Code | Learning operations | Machine Learning | Machine Learning Operations | Model Serving | Prompt engineering | PySpark | Python | Snowflake | Terraform | “as-code”
Education
Associate Degree | Bachelor of Engineering | Bachelor of Science | Master of Science
Regions
Countries
States
Cities
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