Senior Data Engineer, Headspace Health

• 7+ years building production data pipelines on modern cloud stacks (AWS, Azure, or GCP)
• Expert-level Python and PySpark; comfortable tuning Spark 3.x jobs
• Strong Pyspark experience (dataframe API) and understanding of internal architecture and optimization techniques
• Direct ownership of data-governance initiatives (catalogs, lineage, quality, stewardship)
• Deep understanding of encryption at rest/in transit, key management, tokenization, hashing, and masking strategies
• Proven track record mapping GDPR / CCPA / HIPAA controls to data-platform implementations
• Demonstrated expertise in architectural patterns for building high-volume real-time and batch ETL pipelines
• Hands-on experience with one or more security-layer tools (e.g., Apache Ranger, Unity Catalog, Lake Formation)
• Strong SQL skills across columnar and relational engines (Databricks SQL, Postgres)
• Ability to articulate trade-offs between security, performance, and cost to technical and non-technical audiences
• Exceptional oral and written communication abilities, facilitating effective cross-functional collaboration
• A history of making decisions that positively influence team dynamics and organizational culture
• BA/BS degree in Computer Science, Engineering, or a related field, or equivalent practical experience
• Experience automating compliance evidence collection with Terraform, Policy-as-Code, or OPA
• Event-stream processing with Kafka/Kinesis and Schema Registry governance
• Incident-response or blue-team background (logs, SIEM, forensics)

Desirable

• We are seeking experienced engineers to come work on our data platform and pipelines
• This is an incredible opportunity to participate in building out our modern data platform, working with a diverse and talented crew
• In this role, you will work closely with our data science, data analytics and engineering teams to enable the entire company to bring personalized mental health and wellness to all our members
• Design and Build Scalable Data Infrastructure: Architect and implement robust data pipelines to ingest, aggregate, and index diverse data sources into the organization’s data lake
• Develop a World-Class Data Warehousing Platform: Lead the creation of a secure, compliant, and privacy-focused data warehousing solution tailored to meet the healthcare industry’s stringent requirements
• Enable Business Insights: Partner with the data analytics team to deliver a data platform that supports accurate, actionable reporting on key business metrics
• Empower Data Science and Machine Learning Innovation: Collaborate with the data science and machine learning teams to build tools and capabilities that foster rapid experimentation and innovation
• Foster a Data-Driven Culture: Mentor and coach data engineers while championing a culture that values data as a strategic asset across the organization