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PrizePicksPrizePicksUnited States

Data Engineer

Entry-level Data Engineer building and maintaining data pipelines on a medallion lakehouse architecture using Python and SQL. Works under guidance on ingestion, transformation, orchestration, and monitoring tasks.

105k – 140k/yr
RemoteEntry levelData Engineering

About the role

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.

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

Nice-to-Haves

  • 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)

Compensation & Benefits

  • Typical salary range: $105,000 to $140,000
  • Company-subsidized medical, dental, & vision plans
  • 401(k) plan with company match
  • Annual bonus
  • Flexible PTO (2 weeks strongly encouraged)
  • Generous paid leave programs, including 16-week paid parental leave and disability benefits
  • Workplace flexibility and modern work schedules
  • 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

Skills

PythonSQLGCPAWSAzureETLELTData PipelinesAPIsAirflowBigQuerydbtSparkKafkaIceberg

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