Nike Senior Data Engineer – Nike Technology in Beaverton, Oregon

Become a Part of the NIKE, Inc. Team

NIKE, Inc. does more than outfit the world's best athletes. It is a place to explore potential, obliterate boundaries and push out the edges of what can be. The company looks for people who can grow, think, dream and create. Its culture thrives by embracing diversity and rewarding imagination. The brand seeks achievers, leaders and visionaries. At Nike, it’s about each person bringing skills and passion to a challenging and constantly evolving game.

Nike Technology designs, creates and implements the methods and tools needed to make the world’s largest sports brand run faster, smarter and more securely. Global Technology teams aggressively innovate the solutions needed to help employees navigate Nike's rapidly evolving landscape. From infrastructure to security and supply chain operations, Technology specialists drive growth through top-flight hardware, software and enterprise applications. Simply put, without Nike Technology, there are no Nike products.

Description

Nike has embraced big data technologies to enable data-driven decisions. We’re looking to expand our Data Engineering team to keep pace. As a Senior Data Engineer , you will work with a variety of talented Nike teammates and be a driving force for building first-class solutions for Nike Technology and its business partners, working on development projects related to supply chain, commerce, consumer behavior and web analytics among others.

Role responsibilities:

  • Design and implement data products and features incollaboration with product owners, data analysts, and business partners usingAgile / Scrum methodology

  • Contribute to overall architecture, frameworks andpatterns for processing and storing large data volumes

  • Research,evaluate and utilize new technologies/tools/frameworks centered aroundhigh-volume data processing

  • Evaluation of technical feasibility or risks and conveyingthat information to the team

  • Translation of backlog items into engineering design andlogical units of work

  • Profile and analyze data for the purpose of designing scalablesolutions

  • Defineand apply appropriate data acquisition and consumption strategies for giventechnical scenarios

  • Designand implement distributed data processing pipelines using tools and languagesprevalent in the big data ecosystem

  • Buildutilities, user defined functions, libraries, and frameworks to better enabledata flow patterns

  • Implement complex automated routines using workflow orchestrationtools

  • Workwith architecture, engineering leads and other teams to ensure qualitysolutions are implemented, and engineering best practices are defined andadhered to

  • Anticipate, identify and solve issues concerning data managementto improve data quality

  • Buildand incorporate automated unit tests and participate in integration testingefforts

  • Utilize and advance continuous integration and deploymentframeworks

  • Troubleshoot data issues and perform root cause analysis

  • Workacross teams to resolve operational & performance issues

Qualifications

Thefollowing qualifications and technical skills will position you well for thisrole:

  • MS/BS in Computer Science, or related technical discipline

  • 5+ years of experiencein large-scale software development, 2+ years of big data experience

  • Strongprogramming experience, Python or Scala preferred

  • Experiencedesigning, estimating and executing for complex software projects

  • Extensiveexperience with Hadoop and related processing frameworks such as Spark,Hive, Sqoop, etc.

  • Experiencewith RDBMS systems, SQL and SQL Analytical functions

  • Experiencewith workflow orchestration tools like Apache Airflow

  • Experiencewith source code control tools like Github or Bitbucket

  • Experiencewith performance and scalability tuning

  • Ability to influence and communicate effectively, both verballyand written, with team members and business stakeholders

  • Interest in and ability to quickly pick up new languages,technologies, and frameworks

  • Experiencein Agile/Scrum application development

The following skills and experience are also relevant to our overallenvironment, and nice to have:

  • Experience with Java

  • Experienceworking in a public cloud environment, particularly AWS

  • Experiencewith cloud warehouse tools like Snowflake

  • Experiencewith messaging/streaming/complex event processing tooling and frameworkssuch as Kinesis, Kafka, Spark Streaming, Flink, Nifi, etc.

  • Experienceworking with NoSQL data stores such as HBase, DynamoDB, etc.

  • Experience building RESTful API’s to enable dataconsumption

  • Experience with build tools such as Terraform orCloudFormation and automation tools such as Jenkins or Circle CI

  • Experience with practices like Continuous Development,Continuous Integration and Automated Testing

Theseare the characteristics that we strive for in our own work. We would love tohear from candidates who embody the same:

  • Desireto work collaboratively with your teammates to come up with the bestsolution to a problem

  • Demonstratedexperience and ability to deliver results on multiple projects in afast-paced, agile environment

  • Excellentproblem-solving and interpersonal communication skills

  • Strongdesire to learn and share knowledge with others

Qualifications

Thefollowing qualifications and technical skills will position you well for thisrole:

  • MS/BS in Computer Science, or related technical discipline

  • 5+ years of experiencein large-scale software development, 2+ years of big data experience

  • Strongprogramming experience, Python or Scala preferred

  • Experiencedesigning, estimating and executing for complex software projects

  • Extensiveexperience with Hadoop and related processing frameworks such as Spark,Hive, Sqoop, etc.

  • Experiencewith RDBMS systems, SQL and SQL Analytical functions

  • Experiencewith workflow orchestration tools like Apache Airflow

  • Experiencewith source code control tools like Github or Bitbucket

  • Experiencewith performance and scalability tuning

  • Ability to influence and communicate effectively, both verballyand written, with team members and business stakeholders

  • Interest in and ability to quickly pick up new languages,technologies, and frameworks

  • Experiencein Agile/Scrum application development

The following skills and experience are also relevant to our overallenvironment, and nice to have:

  • Experience with Java

  • Experienceworking in a public cloud environment, particularly AWS

  • Experiencewith cloud warehouse tools like Snowflake

  • Experiencewith messaging/streaming/complex event processing tooling and frameworkssuch as Kinesis, Kafka, Spark Streaming, Flink, Nifi, etc.

  • Experienceworking with NoSQL data stores such as HBase, DynamoDB, etc.

  • Experience building RESTful API’s to enable dataconsumption

  • Experience with build tools such as Terraform orCloudFormation and automation tools such as Jenkins or Circle CI

  • Experience with practices like Continuous Development,Continuous Integration and Automated Testing

Theseare the characteristics that we strive for in our own work. We would love tohear from candidates who embody the same:

  • Desireto work collaboratively with your teammates to come up with the bestsolution to a problem

  • Demonstratedexperience and ability to deliver results on multiple projects in afast-paced, agile environment

  • Excellentproblem-solving and interpersonal communication skills

  • Strongdesire to learn and share knowledge with others

NIKE, Inc. is a growth company that looks for team members to grow with it. Nike offers a generous total rewards package, casual work environment, a diverse and inclusive culture, and an electric atmosphere for professional development. No matter the location, or the role, every Nike employee shares one galvanizing mission: To bring inspiration and innovation to every athlete* in the world.

NIKE, Inc. is committed to employing a diverse workforce. Qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, gender expression, veteran status, or disability.

Job ID: 00407913

Location: United States-Oregon-Beaverton

Job Category: Technology