Data Engineer
| Verified Pay check_circle | Provided by the employer$150000 - $250000 per year |
|---|---|
| Hours | Full-time |
| Location | Boston, Massachusetts |
About this job
Job Description
We are looking for a Data Engineer with ideally 3+ years of experience to design, build, and maintain data models representing simple to sophisticated revenue and financial models. You'll work with SQL, Python, DBT, and modern data pipeline tools to power a single source of truth for CFOs and Finance teams at complex businesses. Accuracy is non-negotiable – the data you deliver drives strategic financial decisions, so you must take pride in building reliable, performant, and well-tested pipelines. This is a high-impact role on a small, ambitious team where your work directly shapes the product and client outcomes.
What you will be doing
Designing and building data models for complex revenue and financial use cases using SQL, Python, and frameworks like DBT or Mesh
Building and maintaining highly reliable, multi-stage data pipelines using orchestration tools such as Dagster, Prefect, or Airflow
Integrating data from Financial/ERP and CRM SaaS systems (e.g., NetSuite, Salesforce, Stripe, HubSpot) via REST APIs and file uploads
Ensuring data accuracy, quality, and performance through rigorous testing, documentation, and AI-forward development practices
Leveraging GPT-based technologies for data analysis, anomaly detection, and coding assistance to accelerate delivery
2+ years of experience building data pipelines end-to-end as a data/software engineer (Mandatory)
Experience building data pipelines as distributed systems (Mandatory)
Prior experience building and shipping as a SWE (you will be doing data and SWE work) (Mandatory)
Fintech, financial data, or general ledger (GL) experience (Nice-to-have)
Worked at an early-stage startup (Nice-to-have)
Proficient in SQL and Python (Mandatory)
Expert with modern data pipeline tools (e.g., Dagster, Airflow, DBT) (Mandatory)
Why you should join usWe automate the office of the CFO using AI — turning messy revenue and customer data into a single source of truth for PE-backed businesses. Gartner named us a Cool Vendor in AI for Finance.
Bootstrapped and on track to profitability within two years. Revenue's doubling quarter over quarter and you'll work directly with Jim O'Neill (Founding CTO of HubSpot) and a tight leadership team.
This Data Engineer role is a great fit for someone who loves pipeline orchestration and wants to push into GPT-powered data analysis.
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