Data Engineer 4

Nike; Beaverton (OR); On-site; USD 150,000 - 180,000; Full time

Job summary

Nike in Beaverton, Oregon is seeking a Data Engineer IV to design and implement data products within an Agile team. You will help shape architectures for high-volume data processing, building distributed pipelines and utilities to improve data flow.

Strong Python/Scala, Hadoop/Spark/Hive, and Airflow expertise are required. Role requires 10+ years in software and 5+ years in big data, with excellent communication.

Qualifications

• Bachelor’s degree in Computer Science or related field.
• 10+ years of software development experience, 5+ years in big data.
• Proficient in Python or Scala, SQL, and data warehousing concepts.
• Experience with Hadoop/Spark/Hive and Airflow.

Responsibilities

• Design and implement data products with agile teams.
• Help shape architecture for large data volumes and processing frameworks.
• Evaluate new technologies and tools for big data processing.
• Translate product backlog items into engineering work units.
• Build distributed data pipelines using open-source tools.
• Create utilities and libraries to optimize data flow patterns.
• Collaborate with engineering leads to ensure quality solutions and CI/CD practices.
• Develop automated unit tests and participate in integration testing.
• Troubleshoot data issues and perform root cause analysis.
• Collaborate across teams to resolve operational and performance issues.

Skills

Python/Scala

Big data processing

SQL

Agile/Scrum

Distributed systems

Communication

Education

Bachelor’s degree in Computer Science

Tools

Hadoop

Spark

Hive

Airflow

GitHub/Bitbucket

Job description

Title: Data Engineer 4

Location: Beaverton, OR

Duration: X months contract

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.

WHAT YOU WILL WORK ON

Role Responsibilities:

• Contribute to Design and implement data products and features in collaboration with product owners, data analysts, and business partners using Agile / Scrum methodology
• Contribute to overall architecture, frameworks and patterns for processing and storing large data volumes
• Contribute to evaluation of new technologies/tools/frameworks centered around high-volume data processing
• Translate product backlog items into logical units of work in engineering
• Implement distributed data processing pipelines using tools and languages prevalent in the big data ecosystem
• Build utilities, user defined functions, libraries, and frameworks to better enable data flow patterns
• Work with engineering leads and other teams to ensure quality solutions are implemented, and engineering best practices are defined and followed
• Build and incorporate automated unit tests and participate in integration testing efforts
• Utilize and advance continuous integration and deployment frameworks
• Troubleshoot data issues and perform root cause analysis
• Work across teams to resolve operational & performance issues

WHAT YOU BRING

The following qualifications and technical skills will position you well for this role:

• Bachelor’s degree in Computer Science, or related technical discipline
• 10+ years of experience in large-scale software development, 5+ years of big data experience
• Programming experience, Python or Scala preferred.
• Experience working with Hadoop and related processing frameworks such as Spark, Hive, etc.
• Experience with messaging/streaming/complex event processing tooling and frameworks
• Experience with data warehousing concepts, SQL and SQL Analytical functions
• Experience with workflow orchestration tools like Apache Airflow
• Experience with source code control tools like Github or Bitbucket
• Ability to communicate effectively, both verbally and written, with team members
• Interest in and ability to quickly pick up new languages, technologies, and frameworks
• Experience in Agile/Scrum application development

These are the characteristics that we strive for in our own work. We would love to hear from candidates who embody the same:

• Desire to work collaboratively with your teammates to come up with the best solution to a problem
• Demonstrated experience and ability to deliver results on multiple projects in a fast-paced, agile environment
• Excellent problem-solving and interpersonal communication skills
• Strong desire to learn and share knowledge with others