Principal, Software Engineering at Nike

Beaverton, Oregon, United States

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$149,100 – $313,900Compensation

Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Retail, Consumer Goods, SportsIndustries

Requirements

Bachelor’s or master’s degree in computer science or related technical subject area or equivalent combination of education and experience
10+ years experience as a software engineer, data engineer, or architect building, designing and coding in a distributed data management systems for a large-scale data architecture, including data lakes, data warehouses, and cloud-based solutions
5+ years experience working with Hadoop and Big Data processing frameworks (Spark, Hive, NiFi, Spark-Streaming, Flink, etc.)
Strong hands-on experience with proficiency in modern data technologies and tools
Outstanding communication skills
Proven data design and implementation capabilities
Strong eye for business
Drive to deliver results
Technically proficient and excels at collaborating with engineers, analysts, and business partners
Self-starter, comfortable with ambiguity, and enjoys working in a fast-paced dynamic environment
Strong preference for local candidates or candidates willing to relocate to Beaverton, OR

Responsibilities

Guide and influence multiple engineering teams to deliver scalable data and analytics solutions
Implement new technologies
Participate in solution design and architecture discussions
Build and deliver scalable data and analytics solutions focused on Nike Direct, Supply Chain, and Commercial space
Design, implement and integrate new technologies and evolve data and analytics products
Contribute to all aspects of data and software engineering from ingestion, transformation, and consumption
Design and build test-driven development, reusable frameworks, automated workflows, and libraries at scale to support analytics products
Participate in architecture and design discussions to process and store high-volume data sets
Work with a diverse team of engineers, architects, product leaders, data scientists, and data governance partners to design and deliver scalable, reliable platforms
Collaborate closely with stakeholders across product, architecture, AI/ML, and governance to support a wide range of experiences—from Nike.com and the Nike App to supply chain, retail, and marketing systems
Unify data and AI capabilities across domains, enabling use cases from business intelligence to advanced machine learning, while ensuring governance compliance, breaking down silos, and driving alignment across globally distributed teams and leadership levels

Skills

Software Engineering

Data Engineering

Artificial Intelligence

Analytics

Solution Architecture

Scalable Systems

Cloud Computing

Nike

Designs and sells athletic footwear and apparel

About Nike

Nike designs, manufactures, and sells a variety of footwear, apparel, equipment, and accessories aimed at athletes, fitness enthusiasts, and everyday consumers. Their products are created to be stylish and performance-oriented, catering to the needs of a diverse clientele. Nike operates through multiple sales channels, including retail stores, online platforms, and third-party retailers, and enhances its brand image through endorsements from well-known athletes and sports teams. A key aspect of Nike's approach is its membership program, which offers exclusive access to products and content, fostering a deeper connection with consumers. Unlike many competitors, Nike places a strong emphasis on sustainability and corporate responsibility, integrating these values into its operations and product development. The company's goal is to continue growing by creating products that resonate with consumers while promoting positive social and environmental impact.

Beaverton, OregonHeadquarters

1964Year Founded

IPOCompany Stage

Consumer Software, Social Impact, Consumer GoodsIndustries

10,001+Employees