Lead Data Engineer

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.

Lead Data Engineer - Nike Inc. - Beaverton, OR. Develop, code, configure, test programs and systems, and provide solutions to problems in order to meet defined digital product specifications and direction. Review, analyze, and modify programming systems, including coding, testing, debugging, and installing for a small- to mid-scale systems. Provide leadership to the squad and work team, deliver a vision for work requirements for the quarter. Design the scope of sprints within the quarter. Collaborate with the product owner and assist with managing stakeholder expectations and ensuring prompt and complete customer service. Commit to deliverables with customers and management. Build libraries, user defined functions, and frameworks on Hadoop and Cloud ecosystem. Research, evaluate, and utilize new technologies, tools, and frameworks around AWS and DataBricks ecosystems. Deliver solutions related to Cloud Big Data Platform implementations. Utilize knowledge of cloud architecture specifically in AWS and DataBricks environments. Design, develop, and deliver business intelligence and analytics solutions in collaboration with cross functional teams. Perform scripting in shell and python. Lead software development tasks and provide project management. Work with high volumes of data. Architect, design, and build data pipelines. Model data structures. 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 Masters degree in Science, Computer Science, Computer Engineering, Information Technology, and 2 years of experience in the position offered or in a Engineering-related occupation.

Experience must include:

• Spark

• Python

• SQL

• Databricks

• Snowflake

• Kafka

• Spark Streaming

• CICD/Jenkins

• Airflow

• Agile Scrum

• Java

• Scala

• Teradata

• Oracle

Apply at www.Nike.com/Careers (Job# R-57707)

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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.

NIKE, Inc. is a growth company that looks for team members to grow with it. Nike offers a generous total rewards package, casual work environment, a diverse and inclusive culture, and an electric atmosphere for professional development. No matter the location, or the role, every Nike employee shares one galvanizing mission: To bring inspiration and innovation to every athlete* in the world.

NIKE, Inc. is an equal opportunity employer. Qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, gender expression, veteran status, or disability.