Data Engineer – Sports Data & Pipelines at Mercor

Data Engineer – Sports Data & Pipelines | $30–50/hr | Remote Worldwide

Mercor is recruiting Data Engineers for long-term projects focused on collecting, structuring, and validating historical and live sports data across MLB, NFL, NBA, NHL, NCAAF, and NCAAB for Blitz.

About Blitz:
Blitz's mission is to democratize access to sports insights and content that are usually locked behind analysts, code, or expensive tooling. Generic AI tools today struggle in sports because the data is fragmented and contains a lot of nuances. Today, we power a ChatGPT-style sports interface and automated, low-cost previews, recaps, and custom editorials built on our own structured sports, betting, and prediction-market datasets.

What You'll Do:

• Build robust data ingestion systems and web scraping solutions at scale
• Design clean relational schemas for complex sports and betting datasets
• Work on systems that ingest, normalize, and validate live and historical sports data across multiple leagues
• Ensure data quality and accuracy for production-grade sports analytics

You're a Great Fit If You Have:

• Proven ability to design, clean, and maintain structured relational databases and build automated data pipelines
• Hands-on experience with AWS data infrastructure (S3, Aurora PostgreSQL, Lambda, Glue, ETL workflows)
• Sports domain knowledge with experience validating sports/betting data and writing tests for edge cases
• Experience using GenAI coding tools (Claude Code, Cursor) to accelerate development
• Strong experience with web scraping at scale, including anti-bot mitigation (VPN/proxy rotation, rate limiting, fingerprinting avoidance)

Commitment & Growth:

• Minimum commitment of 20 hours per week, with the ability to work up to 40 hours per week depending on performance and project needs
• Successful contributions could lead to a full-time role at Blitz