Jobs
Required Skills
Apache Spark
Apache Kafka
AWS
Azure
GCP
Terraform
AWS CloudFormation
Data Modeling
Distributed Systems
AI/LLM
Agentic Workflows
WHO YOU’LL WORK WITH
At Nike, we leverage the power of data and technology to serve athletes around the world. The Data & AI (DAI) team is at the forefront of this mission—building scalable, secure, and intelligent platforms that power decision-making and personalized experiences across the Nike ecosystem.
WHO WE ARE LOOKING FOR:
We are looking for an experienced software engineer with a passion for designing and building robust data platforms and solutions. You thrive in a fast-paced, collaborative environment and have a proven track record of delivering scalable and reliable data platforms and services.
Skillset Required
- 7+ years of experience in software development, with a strong foundation in distributed systems, cloud-native architectures, and data platforms.
- Expertise in big data technologies such as Apache Spark and real-time streaming technologies like Apache Kafka.
- Advanced knowledge of a major cloud platform (AWS, Azure, GCP) and its ecosystem of data services.
- Proficiency with Infrastructure as Code (IaC) tools like Terraform or AWS CloudFormation.
- Strong understanding of advanced data modeling techniques and modern data warehouses.
- Ability to design scalable, fault-tolerant, and maintainable distributed systems.
- A strong familiarity and development experiences with agentic workflow and AI/LLM powered enterprise applications
- Excellent communication and stakeholder management skills.
WHAT YOU’LL WORK ON:
What You’ll Do:
- Design, build, deploy, and own complete, scalable, and reliable data platforms and solutions.
- Lead the technical design of new data pipelines, services, and systems.
- Build reusable frameworks, libraries, and data management tools to improve productivity.
- Optimize performance and cost-efficiency of data workflows and compute layers.
- Collaborate with stakeholders such as data scientists, business analysts, and product managers to understand and translate business requirements into technical solutions.
- Lead the development of agentic and AI/LLM powered enterprise applications
- Provide technical leadership and mentorship to junior engineers.
- Ensure the uptime, reliability, and monitoring of the systems you build and own.
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About Nike
Reviews
3.7
10 reviews
Work Life Balance
3.5
Compensation
3.8
Culture
3.4
Career
3.6
Management
2.8
65%
Recommend to a Friend
Pros
Great coworkers and team environment
Good benefits and competitive compensation
Fun and energetic work environment
Cons
Poor management and leadership issues
Workplace politics and competitive environment
Inconsistent company direction and frequent changes
Salary Ranges
34 data points
Mid/L4
Senior/L5
Mid/L4 · Data Analyst
2 reports
$134,195
total / year
Base
$116,500
Stock
-
Bonus
-
$131,895
$136,359
Interview Experience
4 interviews
Difficulty
2.8
/ 5
Duration
14-28 weeks
Offer Rate
25%
Experience
Positive 25%
Neutral 50%
Negative 25%
Interview Process
1
Phone Screen
2
HireVue Video Interview
3
Final Round
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