WHO YOU’LL WORK WITH
You will be a part of the larger Global Technology organization working on Nike’s internal product tools and report to the team’s Engineering Director. You will work day-to-day with a team of engineers, the team’s Technical Product Manager and Principal Engineers in the organization on software projects to achieve Nike’s business objectives. You will also engage with other Global Technology functions and teams on organizational and technical goals.
WHO WE ARE LOOKING FOR
We’re looking for a Data Engineer to solve complex software engineering problems supporting Nike’s pursuit of delivering state of the art tools to our Consumer Product and Innovation (CP&I) community. The candidate needs to be highly collaborative with peers, productive in a fast-paced development environment and have depth of native cloud software engineering experience.
WHAT YOU’LL WORK ON
You will be part of and leading a team of engineers building out tooling for our Consumer Product & Innovation team members. We are investing in building modular, configurable and “API-First” capabilities which will be consumed by modern web applications build with the most recent SPA frameworks. You are expected to help coordinate with other teams and provide guidance and coaching for more junior team members.
Bachelor's degree in Computer Science, Engineering, Data Science, or related field; or equivalent combination of education
1-2+ years of hands-on experience in data engineering, software development, or related technical roles
Foundational proficiency in SQL for data querying and manipulation, with basic working knowledge of Python for data processing, scripting, and automation tasks
Exposure to Spark or similar distributed data processing frameworks, with understanding of big data concepts and parallel computing principles
Familiarity with at least one major cloud platform (AWS, Azure, Databricks, or Snowflake) and understanding of cloud-based data storage and processing services.
Basic understanding of data modeling, ETL/ELT processes, and data pipeline fundamentals, with awareness of data streaming technologies and real-time data processing concepts
Knowledge of version control systems (Git), CI/CD concepts, and DevOps practices related to data engineering workflows and automated deployment pipelines.
Exposure to REST API development and data service integration, with understanding of microservices architecture concepts and basic architectural design patterns
Awareness of data visualization concepts and dashboard design principles; experience with frameworks such as React, Vue.js, or Angular is a plus.
Strong problem-solving skills, collaborative mindset, and ability to work effectively in highly collaborative environments with demonstrated learning agility and attention to detail
Skills Required
- Bachelor's degree in Computer Science, Engineering, Data Science, or related field, or equivalent experience
- 1-2+ years hands-on experience in data engineering, software development, or related technical roles
- Foundational proficiency in SQL for data querying and manipulation
- Basic working knowledge of Python for data processing, scripting, and automation
- Exposure to Spark or similar distributed data processing frameworks
- Familiarity with at least one major cloud platform (AWS, Azure, Databricks, or Snowflake)
- Basic understanding of data modeling, ETL/ELT processes, and data pipeline fundamentals
- Awareness of data streaming technologies and real-time data processing concepts
- Knowledge of version control systems (Git), CI/CD concepts, and DevOps practices
- Exposure to REST API development, data service integration, and microservices architecture concepts
- Awareness of data visualization concepts and dashboard design
- Experience with frameworks such as React, Vue.js, or Angular (plus)
- Strong problem-solving skills, collaborative mindset, and attention to detail
Nike Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Nike and has not been reviewed or approved by Nike.
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Retirement Support — A 401(k) with a company match is complemented by options such as a Mega Backdoor Roth and deferred compensation for eligible earners. Financial coaching and structured savings programs support long-term financial security.
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Equity Value & Accessibility — An Employee Stock Purchase Plan with a stock discount sits alongside broad-based equity vehicles like RSUs and non-qualified stock options. These avenues expand wealth-building opportunities beyond base pay.
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Parental & Family Support — Paid parental leave includes maternity and paternity time, recently expanded in the U.S. to 16 weeks and extended to part-time retail teammates. Additional supports include childcare assistance at select locations and family-building benefits such as fertility, surrogacy, and adoption.
Nike Insights
What We Do
At NIKE, Inc., we innovate to serve athletes*. Every teammate - from coder to creator - plays a role in making these athletes’ dreams real. Our tech, data, and digital teams push limits every day, building the future of sport and the tools that drive it. Here, curiosity is fuel. Innovation is the game plan. Different perspectives keep us on the offense. You’ll solve challenges worth tackling, grow fast and belong to a team that backs you to do the right thing. Bring your drive. Bring your bold. Let’s move the world, together. Take your first step at nike.com/careers * If you have a body, you’re an athlete.
Why Work With Us
At NIKE, Inc., your dedication fuels the future of sport. There is a sense of pride that comes from representing an iconic brand and shaping its future. Here, we treat every day as a new opportunity to push boundaries, ask tough questions and share whole-hearted convictions. We are a team – united by the belief that anything is possible.
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