Senior Data Engineer

Headspace is a company dedicated to providing lifelong mental health support through innovative technology. The Senior Data Engineer will design and implement robust data pipelines, collaborate with various teams, and contribute to a secure and compliant data platform that supports the healthcare industry.

Responsibilities:

• Contribute to architecture and implement robust data pipelines to ingest, aggregate, and index diverse data sources into the organization’s data lake
• Drive the creation of a secure, compliant, and privacy-focused data warehousing solution tailored to meet the healthcare industry’s stringent requirements
• Partner with the data analytics team to deliver a data platform that supports accurate, actionable reporting on key business metrics
• Collaborate with the data science and machine learning teams to build tools and capabilities that foster rapid experimentation and innovation
• Support peers and champion a culture that values data as a strategic asset across the organization

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
• Experience in deployment and infrastructure management using Terraform is a plus
• Prior experience implementing governance, privacy, and security frameworks across a data platform
• Familiarity with the complexities of PII/PHI data, HIPAA, and biometrics data
• Experience migrating or working with DBT for transformations, documentation, and lineage tracking
• Experience in developing AI-ready architecture, such as creating semantic layers that standardize business logic for Agentic AI enablement