Data Engineer - Remote

Overview

Honeycomb is a service for the near and present future, defining observability and raising expectations of what developer tools can do! We’re working with well known companies like HelloFresh, Slack, LaunchDarkly, and Vanguard and more across a range of industries. This is an exciting time in our trajectory, we’ve closed Series D funding, scaled past the 200-person mark, and were named to Forbes’ America’s Best Startups of 2022 and 2023!

In Short

• You’ll help build the data foundation for a high-velocity startup with strong product-market fit and cross-functional data demand
• You’ll be joining early, shaping the standards and structure for our future data practice
• You’ll work closely with a technical Head of Data and Staff Data Engineer—not abstract stakeholders—and have clear lines of ownership
• You’ll have the opportunity to explore generative AI, LLMs, and agent workflows where they make sense
• You’ll ship things that matter, fast—but thoughtfully

Requirements

• 3–5+ years of experience in data engineering or analytics engineering
• Mastery of SQL and dbt, with an eye for structure, testing, and maintainability
• Working experience with Python, especially for data ingestion, orchestration, and basic scripting
• Comfort working with cloud data warehouses like Snowflake (or Redshift, BigQuery)
• Experience implementing structured data models, architectures and marts

Benefits

• A stake in our success - generous equity with employee-friendly stock program
• Time to recharge - Unlimited PTO and paid sabbatical
• A remote-first mindset and culture
• Home office, co-working, and internet stipend
• 100% employee/75% for dependents coverage for all benefits