Maximize the number of interview-ready data engineers entering the workforce
The industry needs interview-ready data engineers faster than the pipeline produces them. That's the problem we're funded to solve.
33.5%
Projected growth in data science roles, 2024 to 2034
U.S. Bureau of Labor Statistics
250K+
Estimated shortage of data and analytics professionals in the U.S.
McKinsey Global Institute
$155K
Median data engineer total compensation
Levels.fyi, 2024
4th
Fastest growing occupation in the U.S. economy
BLS Occupational Outlook, 2025
Our team has hired, trained, and
promoted data engineers at scale
We've conducted thousands of data engineering interviews, written the questions, and made the hiring decisions. That experience drives our mission to set a new standard for technical interview preparation.
A.
Co-Founder, Engineering
ex-Netflix Principal Data Architect
R.M.
Co-Founder, Product
ex-Google Director of Product
J.
Co-Founder, Content
ex-Apple Director of Data Engineering
The hiring pipeline has a preparation problem
Engineers inside top companies prep each other through internal networks. Everyone outside those networks is on their own.
DataDriven provides the same caliber of interview preparation that exists inside these companies to every candidate, regardless of background or network. Leveling the playing field on preparation directly increases representation across the industry.
More prepared candidates entering the pipeline means shorter hiring cycles, stronger teams, and a more diverse workforce.
The bottleneck is preparation
Companies have open headcount. Candidates have the ability. The gap is interview readiness.
Built from the inside
Content authored by engineers who write and grade these interviews at target companies.
Practice that transfers
Candidates write and run real SQL and Python. The muscle memory carries into the interview.
Remove every barrier
The mandate scales when nothing stands between candidates and preparation.
Anonymity
The founding team holds senior positions at major technology companies. Public attribution would create conflicts of interest with their current employers. Anonymity protects both the team and the content pipeline that makes the platform possible.
$3.6M Series A
Backed by investors in education and workforce development infrastructure. Capital funds execution environments, content pipeline, and the engineering team.
Infrastructure Security
Enterprise-grade controls, third-party audits
Data Privacy
GDPR-aligned handling, EU-compliant processing
Candidate data is encrypted at rest and in transit. Code execution is fully sandboxed. We do not sell user data.