Data Engineer

Pipeline & Data Tasks

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.

Code Quality & Development

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.

Collaboration & Ownership

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.

Qualifications

• 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

What Makes You Stand Out

• Exposure to GCP
• Familiarity with a workflow orchestration tool (Airflow, Argo, etc.)
• Experience with Big Query, dbt, Spark, Kafka, or Iceberg
• Experience with containerization or Kubernetes
• Experience with Infrastructure as Code tooling (Terraform, CrossPlane)

Where You’ll Live

While we prefer candidates based in Atlanta, we are open to qualified applicants from anywhere in the U.S. and are willing to consider remote candidates.

Working at PrizePicks

The typical salary range for this position is $105,000 to $140,000. At PrizePicks, we consider your role, level, and where you'll be working when determining our salary ranges. The compensation info you see on our job postings gives you an idea of the starting pay range for the position. Your actual pay within that range will depend on your specific work location, as well as your skills, experience, and education.

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)