Senior Data Engineer

As a Senior Data Engineer at Headspace, you will help build the modern data platform that powers personalized, ethical, and scalable mental health support for millions of members. In this role, you will design and implement robust data pipelines, partner closely with analytics, data science, and engineering teams, and help create a secure, compliant, and privacy-focused data foundation.

Requirements

• 4+ years of proven success designing and implementing large-scale data systems
• Strong understanding of core python, its tooling (pip, poetry, popular frameworks like pytest or pydantic)
• Strong pyspark experience (dataframe API) and understanding of internal architecture and optimization techniques
• 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 modelling, Medallion architecture, pipeline design, metrics calculation and technical documentation
• Exceptional oral and written communication abilities, facilitating effective cross-functional collaboration
• BA/BS degree in Computer Science, Engineering, or a related field, or equivalent practical experience

Benefits

• Comprehensive healthcare coverage
• Monthly wellness stipend
• Retirement savings match
• Lifetime Headspace membership
• Generous parental leave