Entry Data Engineer

Sorry, this job was removed at 05:14 p.m. (CST) on Friday, Feb 07, 2025
United States of America
69K-155K Annually
Other • Retail
At NIKE, Inc., technology is laying the foundation for our digital transformation and direct-to-consumer strategy.
The Role

Open to remote work except in South Dakota, Vermont and West Virginia.

The annual base salary for this position ranges from $69,100.00 in our lowest geographic market to $154,900.00 in our highest geographic market. Actual salary will vary based on a candidate's location, qualifications, skills and experience.

Information about benefits can be found here.
 

WHO YOU’LL WORK WITH

A data engineer will work in the Enterprise Data and Artificial Intelligence organization of Nike and will focus on building highly complex and performant data pipelines that'll drive Nike's data driven strategies for the future of sports.

WHO WE ARE LOOKING FOR

In this role, we are looking for self-driven individuals who have deep technical knowledge in the big data domain. This role requires the individual to be an excellent problem solver who'll design and implement complex data pipelines which solve business problems of Nike.

The core competencies required for this role include -

  • Bachelor’s degree in computer science engineering

  • 2+ years of hands-on experience in the data engineering field

  • In-depth big data tech stack knowledge

  • Expertise in pyspark and SQL

  • Expertise in databricks, snowflake, airflow

  • Excellent written and verbal communication skills

WHAT YOU’LL WORK ON

As a data engineer, you'll be a key pillar of the Finance Analytics data engineering team. You will collaborate closely with other engineers to deliver key changes to data pipelines that drive Nike's data strategy

On a day-to-day basis, you'll focus on -

  • Building, enhancing, and troubleshooting complex data pipelines

  • Collaborating with product managers, engineers, analysts to build, enhance and troubleshoot data pipelines

  • Collaborate with senior, lead and principal engineers to define and implement quality standards across data pipelines

  • Contribute towards the design and architecture of data pipelines

  • Implement data quality and reliability measures across data pipelines

  • Understand the engineering excellence principles and guidelines and work towards implementing them

  • Work in service of our business end users and complement their efficiencies through tooling and automation.

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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