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.

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.

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

Data Engineer

Key skills