Data Engineer, Honeycomb
$159-186.9k
+ Generous equity with employee-friendly stock program
More information about location
Provides full stack observability and analysis
Be an early applicant
Provides full stack observability and analysis
201-500 employees
Be an early applicant
$159-186.9k
+ Generous equity with employee-friendly stock program
More information about location
201-500 employees
Company mission
To give all software engineering teams the observability they need to eliminate toil and delight their users.
Role
Who you are
- 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
What the job involves
- 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
- 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
- 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
Our take
Traditional processes of debugging apps and IT services are becoming obsolete due to the mass adoption of cloud-based tools. However, whilst cloud-based development presents a modern and unified solution to application building, frameworks for troubleshooting such services are not currently something many businesses are prepared for.
Honeycomb provides troubleshooting tools that allow cloud-based software developers to observe code on API tools, live applications, and microservices. The troubleshooting dashboard is designed to be highly visual and user-friendly, thus allowing developers to diagnose cloud-based problems without having a deep understanding of computer science.
The company is building on its 2022 momentum after achieving another consecutive year of 2x revenue growth, driving 160% net revenue retention for its 600+ customers around the globe. Series D awarded in 2023 will be channelled into geographical expansion and supporting its products. Honeycomb’s approach is unique as it is facilitating the harmonious deployment of cloud-based debugging tools in a landscape where such services are essential yet difficult to understand.
Steph
Company Specialist at Welcome to the Jungle
Insights
76% employee growth in 12 months
Company
Funding (last 2 of 7 rounds)
Apr 2023
$50m
SERIES D
Oct 2021
$50m
SERIES C
Total funding: $146.9m
Company benefits
- 100% covered medical, dental, vision, HSA, FSA, disability, and more
- Unlimited PTO, synchronous company break, paid sabbatical, and expressed minimum for time to recharge
- 401K retirement plans and fully paid life insurance
- Up to 16 weeks paid leave regardless of path to parenthood; flexible hours for returning parents and caregivers
- $10K to cover gaps in insurance, in support of adoption, surrogacy, preservation, and family-planning costs
- $600 per year to spend on the perks you care for most
- A stake in our success
- Generous new hire equity, and refresh grants
- Annual $1,500 development stipend; funding for cognitive coaching; and a focus on career pathing
- $500 new hire home setup stipend and $200/mo for wifi, phone and co-working
Company HQ
Union Square, San Francisco, CA
Leadership
Charity Majors
(CTO)Former Product Engineering Manager at Facebook and Infrastructure Tech Lead at Parse.
Christine Yen
(CEO)Former Engineer at Parse and IOS contractor at Ridejoy. Co-founder of Venuetastic. BSc in Computer Science from MIT.
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