Senior Data Engineer - Athlete (REMOTE)

DICK'S Sporting Goods; United States; On-site; USD 83,000 - 138,200; Full time

Benefits offered by this job

Competitive salary

Generous benefits suite

Incentives and equity options

Job summary

A leading sports retail company seeks a Senior Data Engineer to design and evolve data pipelines that handle sensitive customer information. The ideal candidate will have strong SQL and Python skills and experience with Databricks/Spark. Key responsibilities include developing reliable pipelines, collaborating across teams, and enhancing data hygiene practices. The role offers a competitive salary range of $83,000 to $138,200 and opportunities for growth within a diverse, innovative team.

Qualifications

• 3-6 years of general experience in data engineering.
• Basic experience in coordinating the work of others (4 to 6 months).

Responsibilities

• Develop reliable data pipelines using SQL and Python.
• Translate complex schemas into clear conceptual models.
• Safely handle sensitive customer data according to regulations.
• Collaborate with cross-functional teams effectively.
• Share knowledge and support teammates through code reviews.

Skills

Strong SQL fundamentals

Python fundamentals

Experience with Databricks/Spark

Detail-oriented data hygiene

Team-first mindset

Education

Bachelor's Degree or equivalent

Job description

Overview

At DICK’S Sporting Goods, we believe in how positively sports can change lives. On our team, everyone plays a critical role in creating confidence and excitement by personally equipping all athletes to achieve their dreams. We are committed to creating an inclusive and diverse workforce, reflecting the communities we serve.

If you are ready to make a difference as part of the world’s greatest sports team, apply to join our team today!

Job Purpose

As a Senior Data Engineer on the Athlete team, you’ll work across a diverse and evolving data ecosystem that supports critical marketing functions. The role requires the ability to operate both deep within complex data domains and broadly across many systems, partners, and vendors. You’ll turn loosely defined business problems into clear, executable data solutions, helping bring structure and momentum to ambiguous work.

You’ll play a key role in designing, building, and evolving data pipelines and models—especially in environments that involve sensitive customer data, identity resolution, and the unification of disparate sources. Success in this role depends on strong technical fundamentals, sound data judgment, and the ability to collaborate effectively across analytics, engineering, marketing, and product teams.

Responsibilities

• 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.

What Helps You Succeed Here

• Strong SQL and Python fundamentals
• Experience with Databricks/Spark or similar large‑scale platforms
• Clarity in thinking about data models and transformations
• Detail‑orientated and disciplined data hygiene
• Experience in refactoring codebase, cataloging/data governance, and agile development is 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

Qualifications

• Bachelor's Degree or equivalent level preferred
• General Experience: Experience enables job holder to deal with the majority of situations and to advise others (Over 3 years to 6 years)
• Managerial Experience: Basic experience of coordinating the work of others (4 to 6 months)

Virtual Requirements

At DICK’S, we thrive on innovation and authenticity. That said, to protect the integrity and security of our hiring process, we ask that candidates do not use AI tools during interviews or assessments.

To ensure a smooth and secure experience, please note the following:

• Cameras must be on during all virtual interviews.
• AI tools are not permitted to be used by the candidate during any part of the interview process.
• Offers are contingent upon a satisfactory background check which may include ID verification.

If you have any questions or need accommodations, we’re here to help. Thanks for helping us keep the process fair and secure for everyone!

Targeted Pay Range: $83,000.00 - $138,200.00. This is part of a competitive total rewards package that could include other components such as: incentive, equity and benefits. Individual pay is determined by a number of factors including experience, location, internal pay equity, and other relevant business considerations. We review all teammate pay regularly to ensure competitive and equitable pay. DICK'S Sporting Goods complies with all state paid leave requirements. We also offer a generous suite of benefits. To learn more, visit www.benefityourliferesources.com.