Hire a Data Engineer
The engineer who owns the pipes your analytics and ML run on.
Most data engineers are trained inside a data team
- Retained recruiters.
- LinkedIn Recruiter seats.
- Keyword-matched resumes.
- Templated InMails.
Big-company data engineers are specialists — one owns ingestion, another owns warehousing, another owns orchestration. They're optimized for one slice of a mature data platform.
At a startup, you need someone who can design the whole stack. They're picking the warehouse, setting up DBT, wiring Airflow, instrumenting events, and coaching the rest of the team on data hygiene.
That generalist-owner profile is rare and hard to source through keyword searches for 'Senior Data Engineer.'
How Superposition finds your data engineer
Generalist-owner signal
We find engineers who've built data stacks from scratch — side projects, startup experience, or open source contributions to data tooling.
Stack-aware intake
Our voice agent captures the specific shape — real-time vs. batch, warehouse vs. lakehouse, analytics-first vs. ML-first.
Finds builders, not specialists
Passive candidates shipping real data infra, not career specialists looking to slot into a mature team.
Flat-rate pricing
$500/agent/month. No percentage fees.
Questions.
Answered.
Traditional recruiters charge 20–30% of first-year salary and run a generic search across multiple clients at once. Our agent goes deep on just your company — researching thousands of candidates and bringing back people who are specifically a fit, not just generically good.
$500 per agent per month operational, plus a 15% success fee on first-year base salary only — not equity, not bonus. No retainer, no upfront commitment, no percentage-of-OTE gotchas.
Most searches produce a curated shortlist within 2–3 weeks. Signed offers range from 5 to 12 weeks end-to-end, depending on role seniority and your interview cadence.
We offer a 90-day replacement guarantee. If they leave for any reason within 90 days, we re-run the search at no additional cost.
There's an initial voice intake — usually 30–45 minutes — where the agent learns your company, values, and the specific shape of who you're hiring. After that, you review curated candidates as they come in. No daily standups.
Find your data engineer.
Get a builder who can design the stack, not just operate one.