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 candidates 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 thatll drive Nikes 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 wholl 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, youll 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 Nikes data strategy

On a day-to-day basis, youll 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.