Buckstop is hiring engineers across software, data, and ML disciplines to help build the intelligence layer for the circular economy — a platform that appraises the residual value of electronic assets at planetary scale. Early hires report directly to the CTO, own their work end-to-end from design through production, and have founding-team-level influence on architecture and culture. This is a contract-to-hire role based hybrid in D.C./DMV or Seattle for builders who take accountability seriously, prepare before they execute, and hold themselves to a high standard.
Buckstop's mission is to create a sustainable end-of-life for every electronic device on Earth. Our vision: measure the residual value of every real asset on the planet and become the intelligence standard for the circular economy.
As an early engineering hire, you will report directly to the CTO and have a significant hand in defining, building, and scaling Buckstop's technical platform. This is not a feature-ticket role. You will influence architecture, own work end-to-end, and see the direct impact of what you build on customers and the planet.
We are hiring across engineering disciplines. Whether your background is in software engineering, data engineering, or data science, the foundation is the same: product-minded builders who take ownership, prepare before they execute, and hold themselves to a high standard.
"Ship fast, but prepare first. Small decisions get made and corrected quickly; big ones get a design doc. Surface issues immediately — silence causes cascading failures. The company values are not wall art; they are the operating system for how engineering decisions get made."
— Buckstop Engineering Philosophy
This posting covers three engineering tracks. Each shares a common foundation — ownership, quality, speed — with different areas of focus:
Software Engineer
Build and operate the backend services, APIs, and frontend applications that power our appraisal platform. Own services end-to-end from design through production.
Data Engineer
Design and build the data pipelines, models, and infrastructure that turn raw market signals into trusted, analytics-ready assets. Data quality is a first-class engineering concern here.
Data Scientist / ML Engineer
Develop and productionize the models and analytical frameworks that drive solar asset appraisals. Bridge statistical rigor with real-world business outcomes.
Required
Preferred
We hire for demonstrated ability over pedigree. A strong portfolio or project history carries more weight than a specific degree. These are the qualities that define success here:
The buck stops with you
You own outcomes, not just tasks. When something breaks on your watch, you surface it, communicate it, and fix it — no finger-pointing.
Insist on the highest standards
You treat excellence as a daily practice and actively raise the bar — for your own work and your teammates'. Standards aren't static.
Never stop learning
You question your own approaches, explore new tooling, and document what you learn so others benefit. We operate in a fast-moving landscape.
Strong opinions, weakly held
You make a passionate, data-backed case for your ideas — and update your position when better information arrives.
Who prepares wins
You write the design before you write the code. You research thoroughly before making recommendations. Preparation is what makes speed sustainable.
Time is our most precious resource
You automate repetitive work and spend your engineering time on problems only engineers can solve.
Customer first
Every decision passes the customer test. Downtime and bad data aren't engineering inconveniences — they are customer failures.
Planet & profits
You understand that inaccurate appraisals produce bad outcomes for customers and for the circular economy we're building. Data quality is environmental integrity.
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Build from the ground up
Early engineers shape architecture, process, and culture. Your fingerprints will be on this platform for years.
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Direct access to leadership
Report directly to the CTO. High-impact work with short feedback loops — not a queue of tickets.
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Clear growth path
Contract-to-hire with a path to leadership and team-building as the company scales.
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Mission that matters
Every line of code advances a sustainable end-of-life for electronic devices at planetary scale.
Hybrid — Washington D.C./DMV or Seattle preferred. Remote work eligible for the right candidate.
A note on ability over accolades
We value demonstrated skills over credentials. If you've built interesting things — even outside a traditional engineering path — we want to hear about them. Show us your work.
$120,000 - $150,000 per year