At Nike, we leverage the power of data and technology to serve athletes* around the world. The Data Foundation team is at the forefront of this mission—building scalable, secure, and intelligent platforms that power decision-making across Nike’s global supply chain and planning ecosystem.
WHO WE ARE LOOKING FORWe are looking for an experienced software engineer with a passion for building robust and scalable data solutions. You thrive in a fast-paced, collaborative environment and have a proven track record of delivering high-quality software.
Skillset Required
5-7 years of experience in software development, with a strong foundation in distributed systems, cloud-native architectures, and data platforms.
Experience with various stages of software development, including design, development, testing, and deployment.
Strong programming skills in Python, SQL etc.
Deep expertise with cloud platforms like AWS, Azure, or GCP.
Hands-on experience with Databricks, Snowflake, AWS EMR, AWS RDS, Azure SQL, or GCP Cloud SQL, Apache Spark, Databricks Workflow and Apache Airflow.
Strong understanding of Lakehouse architecture, Data Mesh principles, data governance frameworks, and modern data pipelines.
Proven ability to deliver high-impact, API-first services at scale.
Proficiency with tools like Terraform or AWS CloudFormation is critical for managing cloud infrastructure programmatically, ensuring consistency, and enabling automation.
Strong problem-solving and analytical thinking skills.
Experience in guiding and supporting junior engineers.
Excellent communication and collaboration skills.
Good hands on experience in observability and Data quality
Skillset Preferred (Good to Have)
Basic understanding of Machine Learning and Generative AI concepts
Exposure to LLMs (Large Language Models) and their applications (data cataloging, data schematic layer, data enrichment, etc.)
Familiarity with prompt engineering techniques and evaluation
Experience or exposure to AI frameworks/libraries, Agentic AI such as LangChain, OpenAI APIs, or similar
Understanding of RAG (Retrieval-Augmented Generation) patterns and vector databases is a plus
Awareness of AI guardrails, responsible AI, and data privacy considerations
As a Software Engineer III, you will -
Design, develop, and maintain scalable data solutions.
Build and optimize data pipelines, ensuring data quality and reliability.
Develop SDKs, APIs, and microservices to support enterprise-wide data and analytics needs.
Collaborate with cross-functional teams including product managers, data scientists, and other engineers to deliver high-impact solutions.
Implement best practices in software development, data governance, and platform observability.
Participate in code reviews, provide feedback, and mentor junior engineers.
Skills Required
- 5-7 years of software development experience with distributed systems, cloud-native architectures, and data platforms
- Experience across software development lifecycle: design, development, testing, deployment
- Strong programming skills in Python
- Strong SQL skills
- Deep expertise with cloud platforms (AWS, Azure, or GCP)
- Hands-on experience with Databricks
- Hands-on experience with Snowflake
- Experience with AWS EMR
- Experience with AWS RDS, Azure SQL, or GCP Cloud SQL
- Experience with Apache Spark
- Experience with Databricks Workflow
- Experience with Apache Airflow
- Strong understanding of Lakehouse architecture, Data Mesh principles, and data governance frameworks
- Proven ability to deliver API-first services at scale
- Proficiency with infrastructure-as-code tools like Terraform or AWS CloudFormation
- Hands-on experience in observability and data quality
- Experience guiding and supporting junior engineers
- Strong problem-solving and analytical skills
- Excellent communication and collaboration skills
- Basic understanding of machine learning and generative AI concepts
- Exposure to LLMs and applications (data cataloging, data enrichment, etc.)
- Familiarity with prompt engineering techniques
- Experience or exposure to AI frameworks/libraries or Agentic AI such as LangChain, OpenAI APIs
- Understanding of RAG patterns and vector databases
- Awareness of AI guardrails, responsible AI, and data privacy considerations
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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