What We’re BuildingHoneycomb 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! If you want to see what we’ve been up to, please check out these blog posts and Honeycomb.io press releases. Who We AreWe come for the impact, and stay for the culture! We’re a talented, opinionated, passionate, fiercely inclusive, and responsible group of bees. We have conviction and we strive to live our values every day. We want our people to do what they truly love amongst a team of highly talented (but humble) peers. How We WorkWe are a remote-first company, which means we believe it is not where you sit, but how you deliver that matters most. We invest in our people and care about how you orient to our culture and processes. At the same time we imbue a lot of trust, autonomy, and accountability from Day 1. #LI-Remote

Little more about the team:

We’re growing our Data team, and this role is a foundational part of that growth. You’ll be our second Data Engineer, focused on expanding our data modeling layer, building trustworthy foundations for analytics, and enabling teams across the company—from Product to GTM to Finance—with scalable, reliable data. This role will report directly to the Head of Data and you’ll partner with them and our Staff Data Engineer to build a reliable data foundation upon which Honeycomb can scale our business.

Why You Might Be Excited

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 (e.g., schema mapping, anomaly detection, code validation)
You’ll ship things that matter, fast—but thoughtfully

What you’ll do in the role:

Own and expand our dbt modeling layer, ensuring it is structured, documented, and reliable
Ingest and normalize data from diverse systems (e.g. Stripe, Salesforce, Hubspot, Netsuite) via Fivetran and custom pipelines
Collaborate with stakeholders across the business to understand how data is used and what it needs to represent
Build analysis-ready marts that power dashboards, experimentation, and planning
Partner with our Staff Data Engineer on ingestion architecture and orchestration, while taking the lead on modeling and semantic logic
Ensure data quality via testing, validation frameworks, and proactively identifying upstream issues
Create leverage through documentation, code reusability, and adoption of AI-assisted tooling to boost development velocity, reduce manual overhead, and enhance documentation/testing

What you’ll bring to the role:

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)
Comfort working through ambiguous situations - our data team is small and young so some role shaping and willingness to work across the data stack (e.g. occasional dashboard building, analysis) is critical to early success in this role
Experience implementing structured data models, architectures and marts
Strong intuition around data contracts, late-arriving data, slowly changing dimensions, and business logic edge cases
Strong intuition around data quality and governance including experience developing tests and building out documentation
Experience working across functions (e.g., Finance, Product, CS) to map business needs into durable models
Hands-on usage of AI tooling in your data engineering workflow (e.g., Copilot for dbt model stubs, AI-assisted test generation, documentation, SQL generation/refactoring, or code reviews)—you don’t just use it, you use it thoughtfully to create leverage
A mindset of ownership, iteration, and clarity—you care about the business logic behind the data, and building systems others can trust and build on

Base Salary based on level of experience

$159,000 - $186,900USD

What you'll get when you join the Hive:

A stake in our success - generous equity with employee-friendly stock program
It’s not about how strong of a negotiator you are - our pay is based on transparent levels relative to experience
Time to recharge - Unlimited PTO and paid sabbatical
A remote-first mindset and culture (really!)
Home office, co-working, and internet stipend
100% employee/75% for dependents coverage for all benefits
Up to 16 weeks of paid parental leave, regardless of path to parenthood
Annual development allowance
And much more...

Please note we cannot currently sponsor or support visa transfers at this time. Additionally, in compliance with applicable law, all persons hired will be required to verify identity and eligibility to work. Diversity & Accommodations:We're committed to building a diverse, inclusive, and equitable workplace—where people of all backgrounds, identities, experiences, and abilities are welcomed, valued, and supported. We recognize that there is no single path to success and embrace nontraditional career journeys and diverse perspectives as key to building stronger, more innovative teams. We strive to ensure an inclusive experience throughout every stage of our hiring process and are happy to provide reasonable accommodations as needed. If you require accommodations or accessible formats at any point during our hiring process, please let your recruiter know. As an equal opportunity employer our hiring process is designed to put you at ease and help you show your best work. If there’s anything we can do to improve your experience, we’re always open to feedback. Privacy Notice:If you apply for a job at Honeycomb and your application is unsuccessful (or you withdraw from the process or decline our offer), Honeycomb will retain your information after your application for a period of time in accordance with local laws. We retain this information for various reasons, including in case we face a legal challenge in respect of a recruitment decision, to consider you for other current or future jobs at Honeycomb, and to help us better understand, analyze and improve our recruitment processes. For more information regarding our privacy practices please see the Honeycomb Privacy Notice. If you do not want us to retain your information for consideration for other roles, or want us to update it, please contact privacy@honeycomb.io. Please note, however, that we may retain some information if required by law or as necessary to protect ourselves from legal claims.