Data Engineer

Build scalable data infrastructure and analytics pipelines to drive business growth, user personalization, and strategic decisions in sleep fitness technology. Requires 6+ years experience with SQL, Python, DBT, Snowflake, and data architecture expertise.

About the job

What You’ll Build

Power breakthrough business growth by building the data systems that inform our expansion strategy, optimize customer acquisition, and drive conversion and retention across global markets
Enable data-driven scaling through sophisticated analytics that guide everything from growth strategies to market prioritization to product roadmap decisions
Build the growth infrastructure that processes customer behavior, revenue metrics, and market performance data to fuel our next phase of hypergrowth
Architect systems that scale with demand as we expand our user base exponentially, ensuring our data platform grows seamlessly from thousands to millions of users
Drive personalized user experiences by architecting the analytics pipelines that power individualized sleep recommendations, temperature optimization, and wellness insights for each Eight Sleep user
Drive operational excellence by creating dashboards and automated insights that keep our fast-growing business running efficiently across all functions
Shape strategic decisions by partnering with leadership to transform complex user and business data into clear growth opportunities and competitive advantages

What You’ll Need to Succeed

6+ years building production data platforms that support high-stakes decision-making at scale
Mastery of modern data stack: SQL, Python, DBT, Snowflake, and the judgment to know when to use each tool
Proven track record designing both batch and streaming architectures that handle massive scale while maintaining sub-second performance
Cross-functional leadership experience—you can translate complex technical concepts into business value and influence without authority
Obsession with quality and reliability—you build systems that just work, with monitoring and testing that catches issues before users do
Communication superpowers—you can present to the C-suite, debug with engineers, and mentor junior teammates with equal effectiveness
Deep expertise in data modeling and warehousing—you think in terms of dimensional models, star schemas, OBT, and performance optimization, and know where each solution thrives
Technical mentorship DNA—you naturally elevate the capabilities of everyone around you while driving adoption of engineering best practices