Data Engineer 4

Nike Inc; Beaverton (OR); On-site; USD 140,000 - 190,000; Full time

Job summary

Nike, Inc. in Beaverton, OR is seeking a Data Engineer 4 to design and build large-scale data products. You will collaborate with product owners, data analysts, and partners, translating backlog items into engineering work and delivering robust data processing solutions.

The role requires 10+ years in software with 5+ in big data, and proficiency in Python or Scala, Hadoop, Spark, Hive, Airflow, and SQL. You will contribute to architecture, CI/CD, testing, and cross-team collaboration in an

Qualifications

• Bachelor's degree in Computer Science or a related technical discipline.
• 10+ years of experience in large-scale software development, 5+ years in big data.
• Proficiency in Python or Scala.
• Experience with Hadoop and processing frameworks like Spark and Hive.
• Experience with messaging/streaming tools and SQL analytics functions.
• Experience with Airflow and source control (GitHub/Bitbucket).
• Strong Agile/Scrum experience and ability to work across teams.

Responsibilities

• Contribute to design and implement data products and features with product owners, analysts, and business partners using Agile/Scrum.
• Contribute to architecture, frameworks, and patterns for processing and storing large data volumes.
• Translate backlog items into engineering work and build distributed data processing pipelines.
• Build utilities and libraries to enable data flow patterns and maintain high quality solutions.
• Develop automated tests and participate in CI/CD efforts.

Skills

Python

Scala

SQL

Agile/Scrum

Communication

Education

Bachelor's degree in Computer Science

Tools

Hadoop

Spark

Hive

Airflow

Github

Bitbucket

AWS

Snowflake

NoSQL (HBase, DynamoDB)

Terraform

Jenkins/CircleCI

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

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

• Experience with Java
• Experience working in a public cloud environment, particularly AWS, databricks
• Experience with cloud warehouse tools like Snowflake
• Experience working with NoSQL data stores such as HBase, DynamoDB, etc.
• Experience building RESTful API's to enable data consumption
• Experience with build tools such as Terraform or CloudFormation and automation tools such as Jenkins or Circle CI
• Experience with practices like Continuous Development, Continuous Integration and Automated Testing

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