Headspace needs to leverage data to provide personalized care to its members, and is looking for a Staff Data Engineer to design and evolve its Enterprise Data Model, lead Master Data Management initiatives, and build production-grade data pipelines.
Requirements
- 7+ years in data engineering / architecture, with 2+ years leading EDM/MDM programs and a proven track record of leading high-impact initiatives at scale.
- Proven ability to create and maintain domain-based enterprise data models (canonical, hub-and-spoke, data-product-oriented).
- Deep expertise with data-modeling tools (erwin, ER/Studio, PowerDesigner, or equivalent) and modeling techniques (3NF, Dimensional, Data Vault, Anchor).
- Production experience writing performant Python and PySpark code on distributed compute (Spark 3+, Delta Lake).
- Strong SQL skills across columnar and relational engines (e.g., Snowflake, Redshift, Databricks SQL, Postgres).
- Solid grasp of data-governance practices: lineage, glossaries, PII/PHI controls, and data-quality frameworks.
- Deep experience designing and optimizing real-time and batch ETL pipelines (preferably within dbt), employing best practices for scalability and reliability.
Responsibilities
- Drive the architecture and implementation of cutting-edge pySpark data pipelines to ingest and transform diverse datasets into the organization’s data lake in a fault-tolerant, robust system.
- Drive the creation and enforcement of standard conventions in code, architecture, schema design, and table design.
- Design and lead the evolution of secure, compliant, and privacy-forward data warehousing platforms to support the unique demands of the healthcare industry.
- Partner with analytics, product, and engineering leaders to ensure the data ecosystem provides actionable and reliable insights into critical business metrics.
- Mentor other members of the DE and broader data team, particularly around dbt architecture and query performance.
- Act as a technical thought leader, shaping the company’s data strategy and influencing cross-functional roadmaps with data-centric solutions.
- Build production-grade data pipelines in Python / PySpark.
Other
- This is a hybrid role located in our San Francisco office, working 3 days per week from the office.
- Foster a data-first culture that prioritizes excellence, innovation, and collaboration across teams.
- Ability to articulate architecture choices to both executive stakeholders and hands-on engineers.
- Systems thinker who can balance near-term delivery with long-term architecture vision.
- Comfortable in highly collaborative, agile environments; able to mentor cross-functional teams.
- Excellent written and verbal communication; able to translate complex data topics into plain language.
- Bias for automation, documentation, and continuous improvement.
- Headspace is committed to bringing together humans from different backgrounds and perspectives, providing employees with a safe and welcoming work environment free of discrimination and harassment.
- We strive to create a diverse & inclusive environment where everyone can thrive, feel a sense of belonging, and do impactful work together.
- As an equal opportunity employer, we prohibit any unlawful discrimination against a job applicant on the basis of their 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 going above and beyond in fostering diversity across our workplace.
- Applicants with disabilities may be entitled to reasonable accommodation under the terms of the Americans with Disabilities Act and certain state or local laws.
- Please inform our Talent team by filling out this form if you need any assistance completing any forms or to otherwise participate in the application or interview process.
- Headspace participates in the E-Verify Program.
- All member records are protected according to our Privacy Policy.
- Further, while employees of Headspace (formerly Ginger) cannot access Headspace products/services, they will be offered benefits according to the company's benefit plan.
- To ensure we are adhering to best practice and ethical guidelines in the field of mental health, we take care to avoid dual relationships.
- As such, Headspace requests that individuals who have received coaching or clinical services at Headspace wait until their care with Headspace is complete before applying for a position.
- If someone with a Headspace account is hired for a position, please note their account will be deactivated and they will not be able to use Headspace services for the duration of their employment.
- Further, if Headspace cannot find a role that fails to resolve an ethical issue associated with a dual relationship, Headspace may need to take steps to ensure ethical obligations are being adhered to, including a delayed start date or a potential leave of absence.
- Such steps would be taken to protect both the former member, as well as any relevant individuals from their care team, from impairment, risk of exploitation, or harm.
- For how how we will use the personal information you provide as part of the application process, please see: https://www.headspace.com/applicant-notice
