Data Engineer - Remote Work Option

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

You will be collaborating with the Engineering manager, the Product Manager, other Engineering team members and with a variety of dedicated Nike teammates. You will join a highly motivated team that will be a driving force in building Data and Analytic solutions for the Marketplace & Consumer Domains in Nike Technology.

WHO WE ARE LOOKING FOR

Nike has embraced big data technologies on cloud based data platforms to fuel data-driven decisions. We are looking for a Data Engineer to keep pace. As a Data Engineer, you will work with a variety of dedicated Nike teammates and be a driving force for building first-class solutions for Data and Analytics. The ideal candidate will have programming experience, very good data skills, be comfortable with ambiguity and will enjoy working in a fast-paced, dynamic environment.

WHAT YOU BRING

• Bachelor's degree in Computer Science or other relevant fields of Study with 3+ Years of Relevant Experience
• 3+ years’ experience developing Data & Analytic solutions
• 1+ Years experience building data lake solutions using one or more of following: AWS, Databricks, DBSQL, EMR, S3, Hive & Spark
• Experience with relational SQL
• 1+ Years Experience with scripting languages such as Shell, Python
• Deep knowledge of Cloud based data platforms and architecture
• Has a strong problem solving and analytical mindset
• Strong verbal and written communication skills
• Able to quickly pick up new programming languages, technologies, and frameworks
• Experience with source control tools such as GitHub
• Experience with any of the Cloud computing platforms and Data Engineering
• Experience working in Agile/Scrum Methodology
• Has a passion for data solutions

WHAT YOU’LL WORK ON

• Build small, well-defined, reusable components of a larger process or framework to support analytics products with guidance from experienced peers
• Build well-defined components that support the implementation of product features in collaboration with business and Technology stakeholders
• Solve straightforward data management issues to improve data quality
• Clean, prepare and optimize data for ingestion and consumption
• Support the implementation of new data management projects and re-structure of the current data architecture
• Implement simple automated workflows and routines using workflow scheduling tools 
• Understand and use current continuous integration, test-driven development and production deployment frameworks
• Participate in design, code, and test plan reviews to increase knowledge and application of best practices
• Analyze and profile data for designing components of a scalable solution
• Troubleshoot complex data issues and perform root cause analysis to resolve product issues

Apply