Senior Data Engineer

About the Senior Data Engineer at Headspace: 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. This is an opportunity to do high-impact work at the intersection of data, innovation, and mission—enabling smarter decisions, better member experiences, and the future of personalized mental health care. What you will do: 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 What you will bring : Required Skills: 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 Preferred Skills: 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 Location: We are currently hiring this role in the US. Candidates must permanently reside in the US full-time and be based in these cities. For candidates with a primary residence in the greater SF area, this role will follow our hybrid model. You’ll work 3 days per week from our office, allowing for impactful in-office collaboration and connection, while enjoying the flexibility of remote work for the rest of the week. Your recruiter will share more details about our hybrid model. Pay Benefits : The anticipated new hire base salary range for this full-time position is $122,400-$195,500 + equity + benefits. Our salary ranges are based on the job, level, and location, and reflect the lowest to highest geographic markets where we are hiring for this role within the United States. Within this range, individual compensation is determined by a candidate’s location as well as a range of factors including but not limited to: unique relevant experience, job-related skills, and education or training. Your recruiter will provide more details on the specific salary range for your location during the hiring process. At Headspace, base salary is but one component of our Total Rewards package. We’re proud of our robust package inclusive of: base salary, stock ... (truncated, view full listing at source)