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Data Engineer

Campfire

Company websitecampfire.ai (Campfire, opens in new tab)

Base salary $150K  to $220K

Employer-published annual base salary, USD. Advertised base range in San Francisco, CA

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  • LocationSan Francisco, CA
  • WorkplaceOn-site
  • Status at last checkSource accepting applications when checked
  • Last checked (7 min ago) · observed since

About this 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.

Source: Campfire on Ashby · View original posting (opens in new tab)

This range next to 6 other live Campfire roles with the nearest advertised base floor
Chart as a table
This range next to 6 other live Campfire roles with the nearest advertised base floor
RolePublished base
Data Engineer (this listing)$150K - $220K
Software Engineer$150K - $220K
VC Partnerships Lead$150K - $275K
Implementation Manager$140K - $180K
Partner Enablement Specialist$140K - $160K
Implementation Manager$140K - $180K
Product Manager$160K - $230K

Same $100K to $400K scale as every card. All Campfire roles · How to read the bar

Observed changes

  1. First observed on the employer's board
  2. Began meeting the published-salary criteria
Observed since
Employer-stated posting date
2026-09-18
Where this pay comes from

Location as the employer wrote it: San Francisco

USD 150,000 – 220,000 · 1 YEAR · Salary

Method
Structured pay field published by the employer
Checked
Rule set
us-base-v2

The employer's job board publishes this pay as a dedicated data field. We read the field directly; no interpretation was needed.

What we verified

  • The pay figures come from the employer's own listing, quoted exactly above.
  • The pay is an annual base salary in US dollars with a minimum of at least $100,000.
  • The role was publicly listed on the employer's job board when last checked.

We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.