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Campfire

Data Engineer

  • Office

Salary

$150,000 - 220,000/ year

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Description

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.

Where you’d work

From the office

The office

About the company

Campfire

  • Industry: SaaS

Office in San Francisco, United States

Also hiring in New York, United States

Your chances

Worth a look before you spend an evening tailoring a CV for it.

  • 21 checks run
  • 1 red flag

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  • Must-haves
Details10 facts · Role, Location, Compensation, Employment, Company
Tech stack
  • Python
  • SQL
  • Snowflake
  • LLMs
Type
Full-time
Industry
SaaS
Specialty
Data Engineering
Region
United States
Pay period
Annual
Show 4 more factsShow less

Role

Category
Data & Analytics
Specialty
Data Engineering
Tech stack
  • Python
  • SQL
  • Snowflake
  • LLMs

Location

Work model
Office
Region
United States
Office
  • San Francisco, United States

Compensation

Salary
$150,000 - 220,000 / year
Pay period
Annual

Employment

Type
Full-time

Company

Industry
SaaS

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