Lead Big Data Engineer

Nike Beaverton, OR

About the Job

Job Description

Overview NIKE Digital is taking technology into the future and bringing the world with it. At NIKE Digital, we embrace open source, contributing to the community by building - and sharing - digital solutions that work on a global scale. We invest in cutting-edge technologies and work with a network of open source libraries and tools, like React.js, Node.js and GraphQL. These investments and tools help us advance web and native UI development, evolve our data science and eCommerce capabilities, refine our DevOps and retool our services infrastructure.

We're passionate about NIKE and all the swoosh represents: limitless drive, innovation, creativity and possibilities for collaboration. We focus relentlessly on talent and are always looking for ways to encourage growth. We are inspired by the NIKE legends who built an empire rethinking product and service, and we seek to bring that level of innovation to our technologies. Our vision is to build and deliver extraordinary NIKE platforms, services and products directly to athletes* around the world.

*If you have a body, you're an athlete.

  • Full Time
  • Level: Nike
  • Travel: Minimal

Success Profile At Nike Digital, we're revolutionizing fitness and sport. We're creating personalized digital experiences that inspire athletes to move faster, push harder and acheive their personal best. As a team, we're motivated by Nike's proud legacy of always being first. Join our world-class technologists in finding innovative ways to engage consumers and strengthen their connection to our products, services and brand. The work you do today will help modernize the workplace and prove essential to Nike's future success and growth.
  • Results-driven
  • Deadline-oriented
  • Digitally Savvy
  • Technologically Savvy
  • Competitive
  • Imaginative
  • Collaborative
  • inventive
  • socially conscious
  • team player
  • multi-tasker
  • Entrepreneurial
  • problem-solver

Nike gives me the freedom to create, to innovate, to fail. Our team is encouraged to experiment and take risks, a process out of which our digital future grows. Chris Peddecord Front End Engineer, Nike Digital

Nike is one of the biggest and most prestigious brands. Making nike.com live up to that prestige and work at a global scale, is the kind of challenge that brings me back to work, day-after-day. Ryan Miller Technical Architect

  • Healthcare
  • Tuition Reimbursment
  • Paid Time Off/Summer Fridays
  • Family Support
  • Relocation Reimbursement
  • Amenities
  • Work/Life Balance
  • Company Wide Volunteering


Will work with a variety of teammates to build business intelligence and analytics solutions for digital offerings in Beaverton, OR. Will be responsible for the delivery of solutions on top of Hadoop Big Data Platform implementation. Will work with HDFS, Pig, Hive, Airflow, Impala, and Spark. Will build libraries, user defined functions, and frameworks on Hadoop ecosystem. Will research, evaluate, and utilize new technologies, tools, and frameworks around Hadoop and AWS ecosystem. Will write programs in Python, Scala, and Shell Scripting. Will work with Hadoop architecture, including Cloudera Hadoop distribution and AWS EMR. Will provide performance and scalability tuning, algorithms, and computational complexity. Will complete solution design, development, and end-to-end delivery. Will use machine learning algorithms, statistical analysis with R and Python, NoSQL and Columnar databases, including Cassandra, Redshift, Hbase, Kafka, and Kenesis. Will lead teams through requirement gathering, design, development, and implementation of complex data solutions. Will review designs and code implemented by team members. Will mentor and develop other data engineering in adopting best practices. Will collaborate with other technical teams in creating sustainable and scalable solutions.


Education: Master's degree in computer science, information systems, information technology, or business intelligence and analytics. Experience: Three years of experience in software development. Skills/Requirements: 1 year of experience: : (1) big data analytics, (2) Airflow, (3) Apache Hadoop, (4) NoSQL, (5) data science, (6) Python, (7) Relational Database Management Systems, (8) Shell Scripting, (9) Apache Spark; and (10) Amazon Web Services.