Senior Data Engineer – Athlete

DICK'S Sporting Goods

Senior Data Engineer building and evolving data pipelines for personalized customer experiences at DICK'S Sporting Goods. Collaborating with teams to ensure data integrity and hygiene.

Posted 6/9/2026full-timeRemote • 🇺🇸 United StatesSenior💰 $83,000 - $138,200 per yearWebsite

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

SQLPythonDatabricksSparkdata modelingdata transformationdata governanceagile developmentcode refactoringdata hygiene

Soft Skills

communicationproblem-solvingcollaborationdetail-orientedcuriosityteamworkclarity in thinkingknowledge sharingmentoringdecision-making

Tools & Technologies

AI-assisted toolsdata pipelinesobservability toolsdocumentation toolsversion control systemsdata cataloging toolsanalytics platformscloud platformsdata storage solutionsdata visualization tools

Certifications & Qualifications

Bachelor's Degree

Industry Keywords

data privacycustomer data protectionmulti-source schemasgrain alignmentorganizational standardsperformance optimizationpipeline modernizationdata lineagesensitive data handlingcross-functional collaboration

Tech Stack

Tools & technologies

PythonSparkSQL

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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