Offer summary

Qualifications:

Master’s degree in Software Engineering, Computer Science, or Engineering., 2 years of experience in a related engineering role., Proficiency in AWS Cloud computing, Databricks, Python, and SQL., Experience with CI/CD using Jenkins and source code management using GitHub..

Key responsibilities:

Provide hands-on leadership in delivering scalable Big Data solutions.

Plan and implement advanced analytics and machine learning techniques.

Lead cross-functional teams to deliver against established backlogs.

Elevate the team’s data engineering practices through education and best practices enforcement.

Job description

Lead Engineer - Nike Inc.- Beaverton, OR. Provide hands-on leadership in delivering scalable and creative Big Data solutions to support the Nike business; plan and implement parallel processing technologies, advanced analytics, machine learning and deep learning techniques to support and accelerate new and evolving analytic solutions; serve as an authority to actively identify and solve critical, complex, high business-impact problems through new and improved application of technology for analytics solutions; work with key internal partners to define requirements, guide solutions and architectural vision, and prioritize team effort; lead and monitor cross-functional teams to deliver against a backlog established and groomed in partnership with business owner; and help elevate the team’s data engineering practices through education, coaching and enforcement of best practices. 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.

Must have a Master’s degree in Software Engineering, Computer Science, Engineering and 2 years of experience in the position offered or in a engineering-related occupation. Experience must include:

AWS Cloud computing
Databricks
Python
SQL
Snowflake
CI/CD using Jenkins
Source code management using GitHub
Supply chain management
Airflow
Data Warehousing
Test automation and observability
Software test management using JIRA and ALM QC

Apply at www.Nike.com/Careers (Job# R-62389)

#LI-DNI

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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