Staff Data Engineer

Summary

Join Headspace as a Staff Data Engineer and contribute to transforming mental healthcare. You will lead the development of scalable data infrastructure using pySpark, set design patterns, and architect world-class data platforms. Collaborate with various teams to provide actionable insights and mentor other engineers. This role requires extensive experience in data engineering, mastery of modern data ecosystems, and exceptional architectural acumen. Headspace offers a competitive salary, comprehensive healthcare coverage, wellness stipend, retirement savings match, and more.

Requirements

• 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 technical solutions with strategic business goals
• Innovative Problem-Solving: A creative thinker who thrives on tackling complex challenges in dynamic, fast-paced environments
• Educational Foundation: Bachelor’s or advanced degree in Computer Science, Engineering, or a related field, or equivalent practical experience

Responsibilities

• 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 that prioritizes 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

Benefits

• Base salary, stock awards, comprehensive healthcare coverage, monthly wellness stipend, retirement savings match, lifetime Headspace membership, unlimited, free mental health coaching, generous parental leave
• Paid performance incentives are also included for those in eligible roles