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Senior Data EngineerHeadspaceUnited States
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Senior Data Engineer

Headspace
  • US
    United States
  • US
    United States

About

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
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 United States. 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.
Compensation The anticipated new hire base salary range for this full‑time position is $122,400 – $195,500, plus equity and benefits.
Benefits
Base salary
Stock awards
Comprehensive healthcare coverage
Monthly wellness stipend
Retirement savings match
Lifetime Headspace membership
Generous parental leave
EEO Statement As an equal opportunity employer, we prohibit any unlawful discrimination against a job applicant on the basis of race, color, religion, gender, gender identity, gender expression, sexual orientation, national origin, family or parental status, disability, age, veteran status, or any other status protected by the laws or regulations in the locations where we operate. We respect the laws enforced by the EEOC and are dedicated to fostering diversity across our workplace.
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  • United States

Languages

  • English
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