Data Engineer
Data Engineer / Senior Data Engineer (ETL, AWS Lambda, Python)
Location: Remote or Salt Lake City, UT
Company: Wrench.AI | wrench.ai
Why Wrench.AI?
We’re building AI-powered tools that help businesses genuinely understand their customers. You’ll see your work making a difference fast—our data pipelines are the backbone of everything we do. No bureaucratic box-ticking or data busywork—just real, challenging problems that demand smart solutions.
What You’ll Do
- Design, build, and refine ETL pipelines using AWS Lambda, Python, step functions, and best-in-class libraries (NumPy, Pandas, etc.).
- Optimize existing data flows for reliability and scalability; squeezed every millisecond out of a Lambda function before? You'll fit right in.
- Partner with data scientists and product engineers to turn raw data into actionable insights.
- Ship code to production—often, iteratively, and with confidence.
- Help us evaluate and adopt new data technologies as our platform scales.
What You Bring
- Proven skills writing production-grade ETL code (ideally with AWS Lambda and Python).
- Comfortable wrangling data with Pandas & NumPy, not just “hello world” scripts.
- Familiar with structured & unstructured data, REST APIs, and basic SQL/NoSQL concepts.
- You’ve built stuff that’s been “always-on” (or fixed something that broke at 3 a.m.—we’ve all been there).
- Pragmatic, communicative, and a natural collaborator—bonus points if you’ve mentored others or led small teams.
Bonus Points
- Experience with ML pipelines, data lakes, or event-driven architectures.
- Familiarity with the tools/platforms we use: AWS ecosystem, Docker, GitHub Actions, dbt.
- Past work in a high-growth SaaS or AI/ML startup.
What You’ll Get
- Real influence over data strategy on a next-gen platform
- Competitive comp & equity
- Flexible work, zero forced facetime
- The chance to solve problems that matter, alongside people who care
Ready to ship code that matters?
Send your resume (or just your latest project/GitHub link) to dan@wrench.ai. We care way more about shipped work than buzzwords on a CV.
Key Takeaway:
We want driven, pragmatic data engineers who know their way around real business data, love automation, and thrive in high-trust, results-driven environments. Your work won’t sit on a shelf—it will power real features, fast