Data Engineer

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PrizePicks

WebsiteLinkedInAll Job Openings

201 - 500 employees

🎮 Gaming

⚽ Sports

Gaming • Sports

PrizePicks is an innovative platform that offers a dynamic and interactive way to engage in daily fantasy sports and esports. Users can make predictions on player performances across various sports, including NFL, NBA, MLB, CFB, and more, with the opportunity to win up to 1000x their entry fee. PrizePicks operates legally in 43 U. S. states, Washington D. C. , and Canada, providing a wide range of betting options, including Pick 'Em and Pick 'Em Arena, where users compete against each other for cash rewards. The company emphasizes user engagement with features such as recurring promos and the Streak game, which is free to play and allows participants to earn by building daily win streaks. PrizePicks ensures secure transactions and fast payouts, enhancing user experience and satisfaction in the sphere of real money sports betting.

📋 Description

• Develop and execute well-defined data engineering tasks — creating and modifying data models, writing ingestion scripts, and updating transformations following engineering standards • Orchestrate data flow through PrizePicks' medallion lakehouse architecture: Landing-Bronze-Silver-Gold • Deploy, execute, and monitor data jobs and workflows, respond to failures following established runbooks during oncall • Author robust Python and SQL code following team conventions, with guidance on style, structure, and testing • Adhere to team standards for model organization, naming, and documentation • Conduct code reviews - give and receive feedback constructively • Implement unit tests and adopt what good test coverage looks like for data pipelines • Own assigned pipeline tasks - follow through, communicate blockers early, and see work to completion • Collaborate actively in agile rituals and team discussions • Document technical builds: models, runbooks, and decisions. Share learnings with the team. • Partner with Analytics, MLE, and Product stakeholders to understand how the data you produce gets used and find opportunities to better serve stakeholders.

🎯 Requirements

• A bachelor's degree in Computer Science, Mathematics, or a related quantitative field, or equivalent hands-on experience • Good knowledge of Python - you can write a script, work with data structures, and follow a coding style guide • Experience working with cloud environments (GCP, AWS, Azure) • Familiarity with SQL - you can write queries, understand joins, and read a schema • Familiarity with data engineering concepts: ETL/ELT, APIs, data pipelines, or similar • Curiosity about how data moves through systems and a desire to understand the full stack • Clear written and verbal communication skills - you can explain what you're working on and flag when you're stuck • Ownership mindset: takes responsibility for assigned tasks and follows through reliably.

🏖️ Benefits

• Company-subsidized medical, dental, & vision plans • 401(k) plan with company match • Annual bonus • Flexible PTO to encourage a healthy work/life balance (2 weeks STRONGLY encouraged!) • Generous paid leave programs, including 16-week paid parental leave and disability benefits • Workplace flexibility and modern work schedules focused on getting the job done, not hours clocked • Company-wide in-person events and team outings • Lifestyle enhancement program • Company equipment provided (Windows & Mac options) • Annual performance reviews with opportunities for growth and career development