Job Description: Data Engineer

Position Overview

• Location Type: Remote (United States)
• Employment Type: Full-time
• Salary: Not specified

Headspace is seeking experienced Data Engineers to join our data platform and pipelines team. This is a US-remote role, requiring permanent residency in the United States. The goal is to build out a modern data platform, working closely with data science, data analytics, and engineering teams to provide personalized mental health and wellness to all members.

What You Will Do

• Lead the Development of Scalable Data Infrastructure: 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.
• Set Design Patterns: Drive the creation and enforcement of standard conventions in code, architecture, schema design, and table design.
• Architect World-Class Data Platforms: Design and lead the evolution of secure, compliant, and privacy-forward data warehousing platforms to support the unique demands of the healthcare industry.
• Strategic Collaboration for Business Insights: Partner with analytics, product, and engineering leaders to ensure the data ecosystem provides actionable and reliable insights into critical business metrics.
• Champion Data-Driven Leadership: Mentor other members of the DE and broader data team, particularly around dbt architecture and query performance.
• Foster a Data-First Culture: Prioritize excellence, innovation, and collaboration across teams.
• Influence Organizational Strategy: Act as a technical thought leader, shaping the company’s data strategy and influencing cross-functional roadmaps with data-centric solutions.

What You Will Bring

• Extensive Experience in Data Engineering: 10+ years of success in enterprise data solutions, with a proven track record of leading high-impact initiatives at scale.
• Mastery of Modern Data Ecosystems: Expertise in advanced platforms like Databricks, Snowflake, dbt, Redshift, and related cloud-native data technologies.
• Exceptional Architectural Acumen: Deep experience designing and optimizing real-time and batch ETL pipelines (preferably within dbt), employing best practices for scalability and reliability.
• Leadership and Mentorship Skills: Demonstrated ability to lead, coach, and inspire engineers, fostering professional growth and building high-performing teams.
• Cross-Functional Collaboration: Adept at partnering with product, analytics, and other stakeholders to align teams.

Company Information

At Headspace, our mission is to transform mental healthcare to improve the health and happiness of the world. Core to this mission is our ability to responsibly and ethically leverage data to provide personalized care to each of our members.