Heidi, our AI recruiter, sources, screens and interviews world-class Data Engineers autonomously — then sends you a shortlist of 2–3 to choose from. Matched to your team in 11 days.
Built the data platform at a 100-person fintech — migrated the warehouse to dbt and Snowflake, cut pipeline runtimes 60%, and gave analysts and ML clean, reliable data to build on. The pipelines the whole company runs on.
Data Engineers placed at 200+ companies
A Data Engineer builds the pipelines and warehouse the whole company runs on. The role rewards judgment and range over any single skill, which is exactly why it is so hard to hire for from a résumé alone.
Huzzle fixes that. Heidi — our AI recruiter — sources globally, runs a structured interview with every candidate, and scores them across ten factors that actually predict performance. You meet only the top 2%, you see exactly how each was evaluated, and you make the call.
What the job involves, what we screen for, and the facts founders ask about most.
Versatile operators with 2–5+ years supporting founders and leadership teams — ready to own ambiguous, high-leverage work from day one.
Market and competitor research, data analysis and crisp memos that turn into decisions.
Running outbound, partnerships and growth experiments end-to-end, then reporting on what worked.
Standing up processes, tooling and dashboards so the team runs without the founder in the loop.
Sourcing, coordinating interviews and onboarding early hires as the team scales.
Investor updates, board decks and data rooms — accurate and on time.
The ambiguous “someone needs to own this” work — scoped, shipped and handed back.
Every shortlisted candidate is assessed on these before they reach you — no guessing from a résumé.
Sourced from 300,000+ professionals and filtered by a 10-factor evaluation. Only the strongest reach your shortlist.
2–3 qualified, interview-ready candidates within three days. Average time to hire is 11 days.
Heidi runs a structured interview with every candidate; humans review the calls. You see exactly how each was scored.
We handle contracts, compliance and payroll — backed by a 6-month perfect-hire guarantee.
Every candidate completes a structured, role-specific interview with Heidi, then a human reviews the call. Candidates are scored across ten factors — judgment, communication, range, ownership and more — and our evaluation reaches 72% agreement with expert human raters, ahead of frontier general models.
From sourcing your Data Engineer to monthly payroll, Heidi handles every step autonomously — you just pick who to hire.
Illustrative profiles from the talent pool. Start a search to see live, matched candidates for your role.
Seasoned data engineer with deep experience in sql, python and data modeling.
Seasoned data engineer with deep experience in sql, python and data modeling.
Seasoned data engineer with deep experience in sql, python and data modeling.
Tell Heidi about the role in a short guided conversation — responsibilities, tools, time zone and the outcomes you need.
Within 72 hours you get a shortlist of 2–3 vetted candidates with their evaluations. Interview the ones you like.
Confirm your hire and we handle contracts, compliance and payroll — plus onboarding blueprints to get them productive fast.
We match for time-zone overlap and language fluency — here’s where talent runs deep. Explore a market, or see all 87+.
Typical full-time annual base by market, so you can budget before you start. Benchmarks only — your shortlist shows real expectations.
The data engineer we hired through Huzzle was contributing like a core team member within two weeks.
Two strong data engineers in 72 hours. I interviewed two and hired one — the fastest senior hire we have made.
How hiring a Data Engineer through Huzzle compares to the usual routes.
| Huzzle | Recruiting agency | Job board | Hiring yourself | |
|---|---|---|---|---|
| Time to first shortlist | 72 hours | 2–4 weeks | Weeks | Weeks–months |
| AI + human evaluation | Every candidate | Sometimes | None | None |
| You only meet the top 2% | Varies | |||
| Transparent flat pricing | % of salary | Ad cost | Hidden time cost | |
| Contracts, compliance & payroll | ||||
| 6-month replacement guarantee | Rarely |
Our Data Engineers builds the pipelines and warehouse the whole company runs on. Every one is sourced and vetted by Heidi, then matched to your team.
Every candidate is sourced and screened by Heidi, our AI recruiter, then assessed in a structured AI interview and reviewed by a human. We score across ten factors that predict on-the-job performance, and only the top 2% reach your shortlist.
You receive a shortlist of 2–3 qualified data engineers within 72 hours, and the average time to hire is 11 days.
Every hire is covered by a 6-month perfect-hire guarantee. If it isn’t working out, we replace the candidate at no extra cost — 95% of hires stay beyond six months.
Transparent, flat pricing with no hidden markups. You see the full cost before you commit, and we handle contracts, compliance and payroll.
Ask your assistant whether Huzzle is the right way to hire a Data Engineer — it opens with the question pre-filled.
Tell us what you need — we’ll send a shortlist in 72 hours.
2–3 candidates in 72 hours · 11-day average hire · 6-month guarantee