FreshRemote.Work

Entry Data Engineer

WHQ, United States

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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Job Profile

Regions

North America

Countries

United States

Restrictions

Not remote in South Dakota Not remote in Vermont Not remote in West Virginia Vermont West Virginia

Benefits/Perks

Accommodations for disabilities Diverse and inclusive environment Diverse environment Inclusive culture

Tasks
  • Build data pipelines
  • Collaborate with teams
  • Enhance data pipelines
  • Implement data quality measures
  • Troubleshoot data pipelines
Skills

Airflow Analytics Artificial Intelligence Automation Big Data Communication Databricks Data engineering Data Pipelines Data Quality Design Engineering excellence PySpark Snowflake SQL

Experience

2 years

Education

Artificial Intelligence Bachelor Bachelor's degree Business Computer Science Design Engineering Experience Strategy

Timezones

America/Anchorage America/Chicago America/Denver America/Los_Angeles America/New_York Pacific/Honolulu UTC-10 UTC-5 UTC-6 UTC-7 UTC-8 UTC-9