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Principal Software Engineer
3 weeks ago
Open to remote work except in South Dakota, Vermont and West Virginia.
The annual base salary for this position ranges from $149,100.00 in our lowest geographic market to $313,900.00 in our highest geographic market. Actual salary will vary based on a candidate's location, qualifications, skills and experience.
Job Description
Information about benefits can be found here.
Become a Part of the NIKE, Inc. Team
NIKE, Inc. does more than outfit the world's best athletes. It is a place to explore potential, obliterate boundaries and push out the edges of what can be. The company looks for people who can grow, think, dream and create. Its culture thrives by embracing diversity and rewarding imagination. The brand seeks achievers, leaders and visionaries. At NIKE, Inc. it's about each person bringing skills and passion to a challenging and constantly evolving game.
Who We Are Looking For
Strong preference will be given to local candidates or candidates who are willing to relocate to Beaverton, OR. If remote, travel to Beaverton, OR will be around 30%.
We are looking for a talented Principal Software Engineer to join our Global Technology Data & Artificial Intelligence (D&AI) organization to guide and influence multiple engineering teams to deliver scalable data and analytics solutions, implement new technologies, participate in solution design and architecture discussions. The ideal candidate will have outstanding communication skills, proven data design and implementation capabilities, strong eye for business, and a drive to deliver results. The person in this role will be technically proficient and excel at collaborating with engineers, analysts, and business partners. This person will be a self-starter, comfortable with ambiguity, and will enjoy working in a fast-paced dynamic environment.
What You Will Work On
In this role, you will build and deliver scalable data and analytics solutions focused on Nike Direct, Supply Chain, and Commercial space. You will design, implement and integrate new technologies and evolve data and analytics products. You will contribute to all aspects of data and software engineering from ingestion, transformation, and consumption in addition to designing and building test-driven development, reusable frameworks, automated workflows, and libraries at scale to support analytics products. You will also participate in architecture and design discussions to process and store high-volume data sets.
Who You Will Work With
As a Principal Software Engineer within D&AI organization, you will work with a diverse team of engineers, architects, product leaders, data scientists, and data governance partners to design and deliver scalable, reliable platforms that power Nike's most critical digital and data products. Reporting to the Senior Director Engineering, you will collaborate closely with stakeholders across product, architecture, AI/ML, and governance to support a wide range of experiences—from and the Nike App to supply chain, retail, and marketing systems—impacting millions of consumers worldwide. Your work will help 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 throughout Global Technology.
What You Bring
- Bachelor's degree in computer science or related field. Will accept any suitable combination of education, experience and training.
- 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, such as Spark, SQL, NoSQL, and cloud platforms (e.g., AWS, Azure, Google Cloud).
- Proficient in programming languages like Python, Scala, or Java, with a deep understanding of data ingestion, transformation, and pipeline optimization.
- Excellent experience with source control tools such as GitHub and knowledge of CI/CD, DevOps and distributed systems.
- Experience with workflow scheduling tools like Airflow.
- Experience provisioning RESTful APIs to enable real-time data consumption .
- Solid foundation in data modeling, data structures, and algorithmic design, with experience supporting AI/ML and advanced analytics use cases.
- Proven ability to define and operationalize data quality metrics, SLAs, and observability in complex data pipelines.
- Excellent leadership, communication, and collaboration skills, with a track record of mentoring and fostering a culture of technical excellence.
- Track record of eliminating workflow inefficiencies and reducing manual toil through automation.
- A passion for innovation and staying current with industry trends and emerging technologies.
We offer a number of accommodations to complete our interview process including screen readers, sign language interpreters, accessible and single location for in-person interviews, closed captioning, and other reasonable modifications as needed. If you discover, as you navigate our application process, that you need assistance or an accommodation due to a disability, please complete the Candidate Accommodation Request Form.
