Senior Data Engineer

Sorry, this job was removed at 01:56 a.m. (CST) on Friday, Jun 13, 2025
Beaverton, OR
In-Office
Other • Retail
At NIKE, Inc., technology is laying the foundation for our digital transformation and direct-to-consumer strategy.
The Role

Senior Data Engineer NIKE, Inc. - Beaverton, OR. Design and build reusable components, frameworks and libraries at scale to support analytics products; design and implement product features in collaboration with business and Technology stakeholders; identify and solve issues concerning data management to improve data quality; clean, prepare and optimize data for ingestion and consumption; collaborate on the implementation of new data management projects and re-structure of the current data architecture; implement automated workflows and routines using workflow scheduling tools; build continuous integration, test-driven development and production deployment frameworks; review design, code, test plans and dataset implementation performed by other data engineers in support of maintaining data engineering standards; analyze and profile data for designing scalable solutions; troubleshoot data issues and perform root cause analysis to proactively resolve product and operational issues; develop architecture and design patterns to process and store high volume data sets; and participate in an Agile / Scrum methodology to deliver high quality software releases through Sprints. Telecommuting is available from anywhere in the U.S., except from AK, AL, AR, DE, HI, IA, ID, IN, KS, KY, LA, MT, ND, NE, NH, NM, NV, OH, OK, RI, SD, VT, WV, and WY. 

 

Employer will accept a Master’s degree in Computer Science, Engineering, Information Systems or Electrical Engineering and two (2) years of experience in the job offered or an engineering-related occupation. 

Experience must include the following: 

  • Hadoop 

  • Apache Spark 

  • Hive 

  • Data Modeling 

  • Data warehouse including Snowflake and Teradata 

  • Spark and Kafka streaming 

  • CI/CD, Docker, and Jenkins 

  • Data pipeline Orchestration – Airflow 

  • Amazon Web Services (AWS) 

  • Python 

  • Scala 

  • Map Reduce 

  • Databricks 

Apply at www.jobs.nike.com (Job #R-51139 ). 

 #LI-DNI

We are committed to fostering a diverse and inclusive environment for all employees and job applicants. 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.

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The Company
HQ: Beaverton, OR
73,000 Employees
Year Founded: 1972

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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