CampfireData Engineer
Campfire is hiring a Data Engineer in San Francisco, United States. It pays $150k-$220k a year and Level rates it ; you can apply on Campfire.
Level's read on this job
- Works on AI ●●●○ is how Level rates this data engineer role: the daily work is on AI products, without building the model.
- The listed pay starts close to the typical data engineer posting on Level.
- Tools and skills the posting cites include Python, React and Snowflake.
- Level classifies it as a mid-level role.
- Level lists 50 other open roles at Campfire.
AI in this role
Build data integration pipelines and core AI agent platforms to automate enterprise ERP implementations.
About Us
Campfire builds modern ERP software for finance teams — bringing accounting, close, and reporting into one fast, intuitive system. We're a small, senior team obsessed with craft, speed, and making complex financial software feel simple.
About the Role 🌟
ERP implementations are one of the hardest unsolved problems in enterprise software. They're historically slow, manual, and consultant-heavy — months of spreadsheets, mapping documents, and billable hours. At Campfire, we're building AI agents to automate the heavy lifting and cut implementations from months to weeks.
As a Data Engineer, you'll be an architect of the agentic platform at the heart of that effort: the system that moves customers onto Campfire and keeps their financial data live and in sync once they're there. It's the machinery that determines how fast the company scales — every improvement you ship compounds across every future implementation.
This is not a traditional data engineering role. You won't be writing SQL inside someone else's ETL tool. You'll be building the platform itself, and the AI agents that run on it, with real ownership over what you build and work that ships to customers fast.
💼 We Need Someone Who
Designs and builds pipelines that move customer financial data reliably from source systems (ERPs, data warehouses, payment systems, etc) into Campfire — and keep it flowing once customers are live
Ships major features on the AI agent that drives customer implementations, expanding what it can handle autonomously
Partners with the implementation team to understand real customer data — what it looks like, what it means, and how it needs to transform — and turn those insights into platform capabilities
As you grow, contribute to Ember, the shared agent stack powering Campfire's AI products beyond data integration
👥 Ideal Candidate
Strong full-stack engineering fundamentals — our stack is Python, NextJS/React — and comfort building frameworks and tooling, not just the business logic inside them
Experience building and operating data pipelines. Snowflake experience is a plus, but not a requirement
Experience building AI agents or LLM-powered systems is a strong plus
Self-driven and autonomous — we trust you to take the reins, manage your own work, and lead projects to the finish line
Comfortable with agility and ambiguity — the team is lean and moves fast, and some of our hardest problems, like live data integration, don't have established playbooks yet. You'll help write them
📢 Let's Connect
Think you're the perfect fit? We're excited to meet you! Reach out, share your story, and let's explore how you can ignite change at Campfire.
❤️🩹 Benefits
We provide top decile benefits including 100% premium coverage for employees and 80% coverage for dependents with comprehensive healthcare and dental care options.
How we rate this
Data Engineer at Campfire rates 75 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in data engineer jobs at this level
Pay
- This job starts at
- $150k
- Typical data engineer job
- $149k
This posting starts close to the typical data engineer job. See data engineer jobs
Questions you could be asked
- How do you decide when an AI agent can act on its own versus asking for approval first?
- Tell me about a project where data engineering was part of your work. What did you do?
- Tell me about a project where pipelines was part of your work. What did you do?
- Tell me about a project where etl was part of your work. What did you do?
- Tell me about a project where llms was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: AI agents, Data Engineering, Pipelines, ETL, and LLMs. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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