Pay
$127K–$190K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 2,133 postings in the last year. Stated ranges, not salaries paid.
Data Engineer
San Francisco · 300 Montgomery St Suite 500 San Francisco, California 94104, United States
Live, first seen by us 46 days ago- Pay
- Pay not listedSimilar roles state $127K–$190K
- Work setting
On-site — work setting source
Location type: On-site
From the employer’s posting- Employment
Full-time — employment source
Employment type: Full-time
From the employer’s posting- Team
Engineering — team source
Department: Engineering
From the employer’s posting
Before you apply
- Sponsorship
Visa sponsorship not confirmed — sponsorship source
Will you now or in the future require employer sponsorship to maintain authorization to work in the United States?
From the employer’s application form
What you’ll work on
Full postingDesign and build pipelines that move customer financial data from source systems into Campfire
Keep customer data flowing and in sync once customers are live
Ship major features on the AI agent that drives customer implementations
Work with the implementation team to understand real customer data and turn it into platform capabilities
Contribute to Ember, the shared agent stack behind Campfire's AI products
From the employer’s posting
Designs and builds pipelines that move customer financial data reliably from source systems (ERPs, data warehouses, payment systems, etc) into Campfire
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
About Campfire
Campfire builds modern ERP software for finance teams — bringing accounting, close, and reporting into one fast, intuitive system.
In the employer’s words · Read in context · Company website ↗
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Sep 18, 202646 days ago
- Recorded sightings
- 59
- Last seen by us
- Nov 4, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Time since we first saw it
Day 46
Similar jobs usually come down between day 6 and day 54.
From 10,845 similar postings that came down. Coming down is not always a hire.
Campfire is hiring
1 open job
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordSee how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- SQL
- Snowflake
- React
Where the posting names them
👥 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
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
- 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
Your next step
Complete your application on jobs.ashbyhq.com. The employer’s form will show what is required.
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- No account needed. “Autofill from resume” at the top of the form fills the key fields from your file.
Already applied? Track this application
About the role
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
US government figures for database architects
- Median yearly pay, May 2025
- $139,500
- Expected change, 2025 to 2035
- 9.4% more jobsagainst 3.5% for all jobs
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
Job description
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.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
300 Montgomery St Suite 500 San Francisco, California 94104, United States
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.