Data Engineer

Eight Sleep
Data, Analytics, Internal AIPosted 21 February 2026

Job Description

Join the Sleep Fitness MovementAt Eight Sleep, we’re on a mission to fuel human potential through optimal sleep. As the world’s first sleep fitness company, we’re redefining what it means to be well-rested and building the most advanced hardware, software, and AI technology to make it possible. Our products power peak mental, physical, and emotional performance by transforming every night of sleep into a personalized, data-driven recovery experience. We are trusted by high performers, professional athletes, and health-conscious consumers in over 30 countries worldwide. Recognized as one of Fast Company's Most Innovative Companies in 2019, 2022, and 2023, and twice named to TIME's “Best Inventions of the Year.” We operate like a high-performance team: fast, focused, and motivated by impact. We don’t just ship; we iterate, refine, and obsess over the details that help our members sleep better and wake up stronger.Every role at Eight Sleep is a chance to create cutting-edge technology, collaborate with world-class talent, and help shape a future where sleep isn’t passive - it’s a powerful tool for living better. If you’re tired of the ordinary and driven to build at the edge of what’s possible, this is your moment. Join us and lead the movement that’s transforming how the world sleeps and what we’re all capable of when we wake up.High Standards. No Apologies.We operate with intensity because our mission demands it. At Eight Sleep, we bring the same mindset as the world’s top performers: focused, relentless, and always pushing to be in the top 1% of our craft. Think Kobe Bryant’s mamba mentality, applied to bold ideas, next-gen tech, and flawless execution. This isn’t a 9-to-5. Our team is deeply committed, often putting in 60+ hours a week –not because we’re told to, but because we’re invested. We’re here to build fast, push limits, and deliver without compromise. If you thrive under pressure and want to do the most meaningful work of your career,you’ll feel right at home. If you’re looking for something easier –this isn’t it.The RoleEight Sleep is revolutionizing sleep optimization through cutting-edge technology, and we need a world-class Data Engineer to power our next phase of hypergrowth. You'll architect and build the data infrastructure that drives decisions for millions of users while working with some of the smartest minds in health tech.This isn't just another data role—you'll be the technical architect behind systems that directly impact human wellness at scale and fuel our exponential growth. From real-time sleep analytics to ML-powered personalization to the data infrastructure driving our rapid global expansion, your work will shape how people sleep better every night while powering how we scale to millions more users.We prefer someone based out of our NYC HQ or SF Office.What You’ll BuildPower breakthrough business growth by building the data systems that inform our expansion strategy, optimize customer acquisition, and drive conversion and retention across global marketsEnable data-driven scaling through sophisticated analytics that guide everything from growth strategies to market prioritization to product roadmap decisionsBuild the growth infrastructure that processes customer behavior, revenue metrics, and market performance data to fuel our next phase of hypergrowthArchitect systems that scale with demand as we expand our user base exponentially, ensuring our data platform grows seamlessly from thousands to millions of usersDrive personalized user experiences by architecting the analytics pipelines that power individualized sleep recommendations, temperature optimization, and wellness insights for each Eight Sleep userDrive operational excellence by creating dashboards and automated insights that keep our fast-growing business running efficiently across all functionsShape strategic decisions by partnering with leadership to transform complex user and business data into clear growth opportunities and competitiv ... (truncated, view full listing at source)