The Staff Data Engineer at Headspace will lead the evolution of our privacy-first data infrastructure, enabling better experimentation, AI-ready capabilities, and smarter decision-making across the company.
Requirements
- 6+ years in data engineering, with extensive experience in data platform development, complex data model designing, and data compliance implementation
- Production experience writing performant Python and PySpark code on distributed compute (Spark 3+, Delta Lake)
- Existing experience with Databricks is preferred or experience with Redshift and/or Snowflake
- Demonstrated expertise in architectural patterns for building high-volume ETL pipelines
- Experience with data modeling, Medallion architecture, pipeline design, metrics calculation and technical documentation
Benefits
- Comprehensive healthcare coverage
- Monthly wellness stipend
- Retirement savings match
- Lifetime Headspace membership
- Generous parental leave