Senior Data Engineer - Athlete (REMOTE)

Role Overview

Senior Data Engineer on DICK’S Sporting Goods “Athlete” Data team (Remote, United States). You’ll design and build data pipelines and models across a complex ecosystem supporting personalization, loyalty, and marketing analytics—often involving sensitive customer data and identity resolution.

Responsibilities

• Build high-quality data pipelines using SQL, Python, and Databricks/Spark
  • Modernize and improve existing pipelines for clarity, performance, and maintainability
  • Add tests, documentation, lineage, and observability
• Model data across many systems
  • Translate multi-source schemas into clear conceptual and physical models
  • Ensure grain alignment, correct key logic, and strong definition clarity
  • Create scalable models that reduce friction for downstream users (analysts, product)
• Protect customer data
  • Apply privacy-first patterns and disciplined data hygiene
  • Safely move/store sensitive customer data in line with organizational standards
• Collaborate across teams
  • Work with analytics, engineering, marketing, product, data science, and vendors
  • Communicate assumptions, trade-offs, and decision points clearly
• Lift the team
  • Support via code reviews, pairing, and knowledge sharing
  • Use AI-assisted tools to accelerate documentation and test generation

Requirements

• Strong SQL and Python fundamentals
• Experience with Databricks/Spark (or similar large-scale platforms)
• Clear thinking about data models and transformations
• Detail-oriented, disciplined data hygiene
• Ability to break down complex problems and communicate clearly
• Team-first mindset

Nice-to-haves

• Experience with refactoring, data governance/cataloging, and agile development