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Nike

Entry Data Engineer

Nike
United States · Full-time · Entry

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.

Who You’ll Work With

Information about benefits can be found here.

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.

Key Skills

Ranked by relevance

big data artificial intelligence
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Posted
Jan 30, 2025
Type
Full-time
Level
Entry
Location
Beaverton
Company
Nike

Industries

Retail

Categories

Information Technology

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