Senior Data Engineer – Athlete

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DICK'S Sporting Goods

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1948

🛒 Retail

⚽ Sports

🛍️ eCommerce

Retail • Sports • eCommerce

DICK'S Sporting Goods is the largest sporting goods retailer in the United States, offering a wide range of sporting equipment, apparel, and footwear. Committed to enriching communities through sports, DICK'S Sporting Goods also partners with major sports brands like UnderArmour, Patagonia, and Nike to provide high-quality products. The company is dedicated to inclusivity and sustainability, providing resources and support to help athletes and children participate in sports. Headquartered in Pittsburgh, DICK'S is at the forefront of innovative retail and fosters a people-first culture. The company also runs the DICK'S Sporting Goods Foundation, emphasizing the transformative power of sports.

📋 Description

• Build High-Quality Pipelines • 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. • Model Data Across Many Systems • 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. • Protect Customer Data • Apply disciplined data hygiene and privacy-first patterns. • Safely move and store sensitive customer data in compliance with organizational standards. • Collaborate Across the Field • 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. • Lift the Team • 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 • Experience in refactoring codebase, cataloging/data governance, and agile development are a plus • 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

🏖️ Benefits

• Part of a competitive total rewards package including incentive, equity and benefits • Health insurance • Paid time off • Flexible work arrangements