Data Engineer

Design, build, and maintain reliable data pipelines and models using SQL, Python, and Databricks/Spark. Translate multi-source schemas into scalable data models, enforce data hygiene and privacy, add tests/documentation/lineage, and collaborate with analytics, product, marketing, and vendor teams to deliver trustworthy data for personalization and marketing. The summary above was generated by AI

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!, 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., 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

Like any high-performing team, we win together:

• 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.

We’re looking for a Senior Data Engineer who values thoughtful problem-solving, clean design, and strong data hygiene. Someone who can move between conceptual modeling and hands-on implementation, and who enjoys working in an environment where everyone succeeds through the strengths they bring to the team., Capable engineers thrive here because we emphasize transparency, respect, steady improvement, and shared wins., * 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 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, * 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)

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 (like ChatGPT or others) 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., Remote or Hybrid Texas, USA 174K-287K Annually Senior level 174K-287K Annually Senior level Big Data * Food * Hardware * Machine Learning * Retail * Automation * Manufacturing Own the US P&L for Ricolino brands, translate strategy into operational plans, drive category and customer growth, align cross-functional teams, streamline operations, and deliver short- and long-term commercial results through insights-driven category leadership and strong customer relationships. Wipfli

Manager, Cybersecurity and Managed Services

An Hour Ago Remote or Hybrid 117K-158K Annually Senior level 117K-158K Annually Senior level Cloud * Fintech * Software * Business Intelligence * Consulting * Financial Services Lead cybersecurity and managed services engagements, drive business development (national construction/real estate and local markets), design solutions and statements of work, oversee project delivery and profitability, advise clients on infrastructure and security, maintain expertise in Microsoft Modern Workplace and Azure, and support service delivery improvements and thought leadership. Top Skills: Managed ServicesMicrosoft 365AzureMicrosoft Modern WorkplaceMicrosoft SecurityMicrosoft Teams Wipfli, Lead cybersecurity and managed services offerings: drive business development (nationally for Construction/Real Estate and locally across industries), design and oversee Microsoft Modern Workplace and Azure solutions, manage account lifecycle and profitability, deliver technical architecture and project delivery, and provide SME guidance and thought leadership. Top Skills: Managed ServicesMicrosoft 365AzureMicrosoft SecurityMicrosoft Teams

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