80 remote data engineer roles open to candidates in the US, all at fully remote, VC-backed startups from seed to series C. Matcha reads every job description daily and sends you one zero noise email with only the roles that really fit. No scrolling, no noise.
10k+ under the radar remote startups · 1 zero noise email
Describe your next role, cut the noise
80 open roles · 6 new this week · 80% not on LinkedIn · $182K avg pay
Transforming school districts' service delivery via helpdesk, assets, and orders.
Team of 215$14.5MBacked by JMI Equity, Cove Hill Partners
Own greenfield BI data warehouse/data lake build for K-12 SaaS workflow platform; architect and implement centralized analytics foundation end-to-end from Azure-hosted product data plus CRM/external APIs; define platform recommendation using latency, performance, schema evolution, tenant isolation, 3-year TCO, and migration cost; establish data governance, quality, performance optimization, and published refresh SLA with documentation others can operate; requires 5-7 years in data/BI/analytics engineering or data architecture in high-growth SaaS and prior 0-to-1 ownership of greenfield data infrastructure; must have deep cloud warehouse/lake expertise, ETL/ELT orchestration, advanced SQL/query tuning, SaaS GTM integrations, and programming in Python/Scala/C#; bonus: MongoDB-to-relational warehouse integration
Remote US only; listed locations are Atlanta and Alpharetta, Georgia.
Data Engineer (BI) at Bridgeway Benefit Technologies
Provider of multiemployer benefits administration technology for Taft-Hartley plans.
Team of 313
Own data warehouse infrastructure plus semantic models, certified datasets, dashboards, reporting, and metrics governance; build secure/efficient pipelines and curated models for self-service analytics; heavy BI focus with Sigma as primary tool, plus Power BI and native Databricks dashboards/AI-BI Genie; define KPI logic, metric glossary, workspace standards, row-level security, and Entra ID-based access controls; partner with architecture on data quality, testing, observability, and BI issue triage; support analytics and AI/ML use cases via business-friendly models and Databricks Vector Search/Model Serving integrations; requires 3+ years in data engineering and/or BI, 3+ years semantic/dimensional modeling and modern BI dashboards with metrics/semantic layer, and 3+ years analytical SQL and Python for pipelines/automation; must have Databricks experience including DAB and materialized views; plus: Azure DevOps, GitHub Copilot, HIPAA data experience; bachelor's required, master's preferred
Remote US only; East Coast preferred; occasional travel
+76 more data engineer roles in the US
Tell us what you want. Get them in your inbox — no scrolling, no noise.
Describe your next role, cut the noise
About Matcha
Matcha is a zero-noise alternative to job boards for remote startup jobs. Instead of scrolling through hundreds of irrelevant postings, you describe your next role once and Matcha reads every job description daily to surface only the roles that actually fit. Matches arrive in a single email, as soon as a relevant role is posted. No UI to check, no notifications, no noise. Because Matcha reads full job descriptions in plain language, there is no limit to what you can filter by: not just the usual dropdowns, but anything you can put into words.
Matcha surfaces fully remote jobs at startups from seed to series A, series B, etc. typically backed by top-tier VCs like a16z, Index Ventures, Y Combinator, Google Ventures, Sequoia, Accel, Khosla Ventures, etc. Roles span software engineering, design, marketing, sales, and more. Open to candidates in Europe, the US, Canada, the UK, Brazil, Latam, APAC, and worldwide.
Frequently asked questions
Job boards make you scroll through hundreds of irrelevant posts. Matcha flips this: you describe your ideal role once (title, tech stack, team size, dealbreakers) and Matcha reads every job description daily to surface the handful that actually fit, and sends you one zero noise email. No UI to check, no noise, just a single email when something real shows up. Unlike job boards with their fixed filter sets, Matcha uses plain-language descriptions to match against full job descriptions, so you can filter by anything, something no dropdown could ever capture.
You describe what you're looking for in plain language: role, tech stack, team size, things you don't want. Every day, Matcha scans thousands of new remote startup job postings and compares each description against your preferences. Roles that match land in your inbox in a single, zero-noise email within hours of being posted.
Roles are added as soon as they are posted. About 80% of them never appear on LinkedIn.
Yes, all public jobs are covered: workatastartup (YC jobs), Ashby, Greenhouse, and more. Matcha also tracks under-the-radar startups individually, including roles that are not listed anywhere else.
Matcha was built by Fico, a Canadian repeat founder who has spent over a decade building and working at fully distributed startups. He was on the founding team of Roger.ai, a fully distributed startup he helped grow from zero to $5 billion in transaction volume and millions in ARR before it was acquired by NYSE:CPAY, where he served as VP of Engineering for four years, fully remote. Fico has a deep network of remote-first founders and understands this space firsthand.
While looking for a new startup to join, Fico found the experience exhausting: noisy job boards, limited filters, and no way to specify what actually mattered to him. Nothing let him filter the way he wanted. So he built it for himself, shared it with friends, and after seeing how much they loved it, opened it up. The goal: stay open to the right opportunity without the daily grind of checking boards or wading through noise. It takes two minutes over coffee instead of hours.
Loved by 4995 remote talent
Engineers, PMs, designers, and marketers across 40+ countries use Matcha to cut through the noise of job search and not miss the right opportunity when it's posted.
