About
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 What you have:
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. Your recruiter will be happy to chat more about the specific pay range for your location and how we arrived at it during the hiring process. This application period will remain open for 30 days. We’re committed to finding the best candidate, so this date may be adjusted, and any changes will be reflected in this posting. Date Posted: June 22nd, 2026 Benefits you’ll receive:
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 You must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.
PrizePicks is an Equal Opportunity Employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. #J-18808-Ljbffr
Languages
- English
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