Get matched with data engineers who've actually shipped production pipelines. Submit your JD → We analyze & match → Interview in 48 hours.
You've been there: 200 applications, 5% relevant, weeks wasted on phone screens
"5 years of Spark" but never optimized a join
"SQL Expert" can't explain a window function
200+ applications, maybe 10 worth reviewing
3 weeks of screening → zero quality candidates
Verified GitHub repos with real data pipelines
AI validates production experience at scale
3-5 pre-qualified matches, all worth talking to
First interview scheduled in 48 hours
Our founder spent six months trying to hire a senior data engineer. After 300+ applications and 20 technical interviews, they found exactly one person who could architect a modern data stack.
The problem wasn't the talent—it was the matching. Resumes lie. Job boards don't verify skills. Engineers who can actually build production systems get buried in noise. So we built TalentProfile to solve it: AI that analyzes real code to find engineers who've done the work.
Anyone can claim they know Spark. We analyze their GitHub to prove 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.
Pay contractors in 100+ countries with one platform. They get professional invoicing, you get simple payments.
Real production experience with these tools
No fluff. Just results.
No forms, no account creation. Just paste your JD or upload a file. Our AI parses 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 proven they can do the work.
Schedule first calls within 24 hours. Most companies make an offer within 10-14 days. 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.
Michael Kim
VP Engineering, DataCorp
"Posted on LinkedIn, got 80+ applications. Maybe 5 had actual warehouse experience. TalentProfile matched us with someone who'd done the exact Redshift→Snowflake migration. Hired in 10 days, migration done in 6 weeks."
Sarah Park
Director of Data, HealthTech
"Our Airflow DAGs were a nightmare. TalentProfile found us a contractor who'd built similar orchestration systems. She identified 3 bottlenecks in week one. Pipelines now run 3x faster."
We analyze GitHub repos using AI trained on data engineering patterns. We look for proper error handling, data quality checks, performance optimization, 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 AI understands technical specificity. If we don't have exact matches, we'll suggest adjacent tech and be upfront about it.
Most clients get 3-5 matches within 48 hours. Engineers respond within 24 hours. Average time from JD submission to first hire: 12 days. We've seen companies hire in 5 days when they find the right fit fast.
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. ~40% of engineers on our platform do 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 in 48 hours. First 5 matches free.