Data Engineer
Campfire
San Francisco, CA · $150k–$220k a year · Posted September 18, 2026
Just laid off? Start here: a plan for the first weeks
See every open role at Campfire
More in California job market · All Data Engineer jobs (642) · Technology & Software · Data & Analytics jobs
More roles at Campfire
- AI Engineer - Agents · San Francisco, CA
- Senior Content Marketing Manager, Storytelling · San Francisco, CA
- Product Manager · San Francisco, CA
- Business Operations Manager · San Francisco, CA
- Tech Partnerships Lead · San Francisco, CA
- SDR Manager
Similar jobs
- Senior Staff Data Engineer · SiriusXM · CA
- Data Lead Architect- Institutional Division · Pacific Life · Newport Beach, CA
- Staff Data Engineer - Dev360 · Intuit · Mountain View, CA
- Data Architect - Enterprise Analytics · LAM Research · Fremont, CA
- Staff Data Engineer · Dexcom · San Diego, CA
- Data Manager · University Of California San Francisco Foundation · San Francisco, CA
Where San Francisco, CA ranks
Where San Francisco, CA placed in our monthly rankings, month by month. Each month stays online at its own address.
November 2026
- #1Best cities for security jobs316 openings · of 20
- #1Best cities for technology jobs7,178 openings · of 100
- #1Best cities for financial services pay after cost of living$173k · of 33
- #1Best cities for entry-level jobs that want AI skills35% · of 100
- #1Best cities for entry-level jobs that want AI skills in the West Coast35% · of 54
- #1Cities with the most jobs that do not need a four-year degree in the West Coast902 jobs · of 47
Rankings about data & analytics jobs
- Best cities for data and analytics jobs #1 New York (1,713 openings)
- Best cities for data and analytics pay after cost of living #1 Foster ($232k)
- Most requested AI skills in data and analytics jobs #1 Machine learning engineering (17.1%)
- AI tools named most often in data and analytics jobs #1 Databricks (7.6%)
- Employers with the most data and analytics jobs #1 Amazon (711 roles)
Data & Analytics jobs · Top Data & Analytics employers · All rankings
Pay compared with the market
This listing pays about $185,000 a year. Across 152 open data engineer listings that state pay, the middle half runs $114,500 to $172,500 and the median is $140,000. That is 32% above the median, above the middle half of those listings.
Listed pay is what employers advertise, not what people are paid.
How AI is used in this kind of work
Among database architects, AI is already used for a large share of the tasks. Measured exposure for database architects: 58% (high).
Share of this job’s tasks that AI is already used for at work, from real usage. It is not a forecast of job loss, and a low number means no use seen yet. Source: Anthropic Economic Index.
Skills this job asks for
Say which you have and which you want to build. We use it to match you to jobs like this one.
About the job
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.