Senior Data Engineer - Athlete (REMOTE)

DICK'S Sporting Goods is committed to creating an inclusive and diverse workforce that reflects the communities they serve. They are seeking a Senior Data Engineer to build and evolve data pipelines and models that support critical marketing functions, ensuring strong data hygiene and collaboration across various teams.

Responsibilities:

• Develop reliable data pipelines using SQL, Python, Databricks/Spark
• Improve and modernize existing pipelines for clarity, performance, and maintainability
• Add tests, documentation, lineage, and observability to strengthen trust
• Translate complex, multi‑source schemas into clear conceptual and physical models
• Handle grain alignment, key logic, and definition clarity with care
• Design models that scale and reduce friction for analysts, product, and downstream users
• Apply disciplined data hygiene and privacy-first patterns
• Safely move and store sensitive customer data in compliance with organizational standards
• Partner with analysts, product managers, marketing teams, data scientists, vendor teams, and other engineers
• Communicate assumptions, trade‑offs, and decision points clearly
• Bring clarity to ambiguous problems and help guide the team toward the best path forward
• Share knowledge, document meaningfully, and help strengthen team patterns
• Support teammates through code reviews, pairing, and problem‑solving
• Use AI‑assisted tools to accelerate documentation, test generation, and iteration

Requirements:

• Bachelor's Degree or equivalent level preferred
• Experience enables job holder to deal with the majority of situations and to advise others (Over 3 years to 6 years)
• Basic experience of coordinating the work of others (4 to 6 months)
• Strong SQL and Python fundamentals
• Experience with Databricks/Spark or similar large-scale platforms
• Clarity in thinking about data models and transformations
• Detail-oriented and disciplined data hygiene
• Ability to break down complex problems and communicate them clearly
• Curiosity and willingness to learn new tools/contexts quickly
• Team-first mindset — you share, collaborate, and elevate others
• Experience in refactoring codebase, cataloging/data governance, and agile development are a plus