Get matched with data engineers who've actually shipped production pipelines. Submit your JD → We analyze & match → Interview fast.
You've been there: a pile of applications, few relevant, weeks lost to phone screens
Hiring data engineers through job boards is broken. Resumes don't verify skills, job boards match on keywords, and engineers who can actually build production systems get buried in noise.
The problem isn't the talent—it's the matching. So we built TalentProfile to solve it: matching that analyzes real code to find engineers who've done the work.
Anyone can claim they know Spark. We analyze their GitHub to check it.
We scan for modular SQL, well-structured DAGs, proper error handling, and edge cases. Engineers with hardcoded credentials or 2,000-line files don't make it.
We differentiate "used Spark" from "designed Spark jobs processing millions of records daily." We look for performance optimization, late-arriving data handling, partition management.
Good engineers think holistically. We verify they understand data modeling, pipeline orchestration, idempotency, lineage, and cost optimization.
Real production experience with these tools
No fluff. Just results.
No forms, no account creation. Just paste your JD or upload a file. We parse what you actually need: "Optimize Snowflake queries and rebuild dbt models" tells us way more than "5 years experience required."
We scan GitHub repos for evidence of actual work: pipeline optimization commits, query performance improvements, data quality frameworks. Engineers who've solved problems like yours bubble to the top.
We prioritize engineers who:
You get profiles ranked by match quality: GitHub analysis, project highlights, specific skills validated, and why they fit. No generic resumes—just engineers who've shown they can do the work.
Schedule first calls quickly. Many companies make an offer within a couple of weeks. You only pay when you hire (15% placement fee for full-time, 10% for contractors). If it doesn't work out in 90 days, we find a replacement free.
We run static analysis plus LLM-assisted review on public GitHub repos, looking for proper error handling, data quality checks, performance optimization, and monitoring—code that shows operational understanding. Tutorial projects don't pass.
That's our specialty. Tell us exactly what you need: "medallion architecture on Databricks with dbt, optimize Kafka streaming." Our matching parses that level of technical specificity. If we don't have exact matches, we'll suggest adjacent tech and be upfront about it.
Most clients see their first matches within a couple of days. Many move from job description to first interview within a week or two when the fit is there. Engineers tend to respond quickly.
First 5 matches: free. After that: 15% of first-year salary for full-time, 10% for contractors. No subscription, no per-match fees. If your hire doesn't work out in 90 days, we find a replacement free.
Yes. A large share of engineers on our platform are open to contract work. Same vetting, same quality bar. Perfect for 3-month migrations or filling gaps while you hire full-time.
Drop your job description. Get matched with pre-vetted engineers based on their real work. First 5 matches free.