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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer - **Company:** Dick's Sporting Goods Inc - **Location:** United States (Remote available) - **Experience:** Expert - **Salary:** $83,000.0 - $138,000.0 - **Contract:** Permanent contract - **Skills:** 3d Models, Agile Methodology, Artificial Intelligence, Code Review, Customer Data Management, Data Cleansing, Data Governance, Data Infrastructure, Python (Programming Language), Standard Sql, SQL Databases, Apache Spark, GPT, Data Pipelines, User Identification, Databricks - **Published:** June 10, 2026 - **Apply:** https://www.builtincolorado.com/job/senior-data-engineer-athlete-remote/9661328 ## About the Role 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) ## Description 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. ## Related Videos - [Cutting LLM Costs Without Cutting Quality: How to Beat Proprietary LLMs with Fine-Tuned Open Source](https://www.wearedevelopers.com/videos/100151-cutting-llm-costs-without-cutting-quality-how-to-beat-proprietary-llms-with-fine-tuned-open-source) - [TresJS a new declarative ThreeJS as Vue components](https://www.wearedevelopers.com/videos/543-tresjs-a-new-declarative-threejs-as-vue-components) - [ Evaluating AI models for code comprehension](https://www.wearedevelopers.com/videos/1462-evaluating-ai-models-for-code-comprehension) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [OLTP in the Lakehouse: Redefining Data for AI Workloads](https://www.wearedevelopers.com/videos/2038-oltp-in-the-lakehouse-redefining-data-for-ai-workloads) - [Cross platform Augmented Reality development with React Native](https://www.wearedevelopers.com/videos/160-cross-platform-augmented-reality-development-with-react-native) ## Related Articles - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [The Biggest German Tech Companies](https://www.wearedevelopers.com/magazine/424-the-biggest-german-tech-companies) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)