# Data Engineer

**Company:** [Eightsleep](https://hotfix.jobs/companies/eightsleep)
**Location:** San Francisco, CA, New York, NY
**Role:** Data Engineering
**Experience:** 6+ years
**Skills:** SQL, Python, dbt, Snowflake, Data Modeling, Data Warehousing, Streaming Architectures, Batch Processing, Star Schemas, Dimensional Models
**Posted:** 2026-03-11

> 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.

## Job Description

## 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

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