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Data Engineer Nike Jobs in Oregon (NOW HIRING)

Lead Data Engineer

Beaverton, OR · On-site

$119K - $143K/yr

LEAD, DATA ENGINEER - NIKE [Beaverton, OR - USA] WHO YOU'LL WORK WITH Consumer Product and Innovation (CP&I) Data and Analytics Engineering sits at the intersection of product innovation and ...

Senior Software Engineer

Beaverton, OR · On-site

$127K - $168K/yr

Serve as an integral member of a multi-functional engineering teams that delivers solutions unlocking machine learning for Nike; analyze and profile data to uncover insights in support of scalable ...

Software Engineer- NIKE, Inc. - Beaverton, OR. Design, configure, enhance, and support enterprise ... Support data pipelines and integrations that allow ML driven insights, such as data validation ...

Software Engineer - NIKE USA Inc. - Beaverton, OR. Build and deliver scalable data and analytics solutions focused on Supply Chain ,Consumer and Marketplace data products; design and implement Supply ...

Senior Software Engineer

Beaverton, OR · On-site

$127K - $168K/yr

Senior Software Engineer - NIKE, Inc. - Beaverton, OR. Develop, code, configure and test software ... design and optimize data storage solutions using relational and NoSQL databases to support ...

Senior Software Engineer

Beaverton, OR · On-site

$127K - $168K/yr

Our team supports Nike Product Innovation teams by building solutions that enhance our use of robotics, data, and artificial intelligence. You'll be working with a team of other peer engineers as ...

Software Engineer II

Beaverton, OR · On-site

$101K - $138K/yr

Software Engineer II, Design Engineering - Nike WHO YOU WILL WORK WITH The Consumer Product ... Experience with implementing and integrating AI, Machine Learning and related data solutions a plus

Senior Principal Software Engineer

Beaverton, OR · On-site

$130K - $180K/yr

... of Nike's digital product merchandising & creation capabilities. WHO WE ARE LOOKING FOR We are ... Hands-on experience with modern data platform technologies (e.g., Databricks, Snowflake, Kafka ...

Senior Product Manager

Beaverton, OR · On-site

$131K - $173K/yr

WHO YOU'LL WORK WITH As a Senior Product Manager, you will report to the Director of Product for Nike's Activity Apps & Research. You will partner closely with design, engineering, data science ...

Lead Innovation Engineer, Global Accessories

Beaverton, OR · On-site

$106K - $140K/yr

WHO YOU'LL WORK WITH This role sits within Nike's Accessories Innovation team, part of the broader ... They use data, testing, and athlete insight to guide decisions, and they communicate complex ideas ...

WHO WE ARE LOOKING FOR Nike is looking for a strategic and analytical problem solver with deep ... This person thrives in ambiguous environments, transforms complex data into actionable insights ...

You will work closely with Product Managers, Principal Engineers, Architects, Data Scientists, Operations teams, and business stakeholders to deliver technology solutions that support Nike's product ...

... engineering, data science, marketing, sport experts, trainers, coaches, and cross-functional business partners to craft a new digital fitness offering, pioneering Nike's next big competitive ...

Lead Technical Product Manager

Beaverton, OR · On-site

$173K - $200K/yr

LEAD, TECHNICAL PRODUCT MANAGER - NIKE [Beaverton, OR - USA] WHO YOU'LL WORK WITH Consumer Product and Innovation (CP&I) Data and Analytics Engineering sits at the intersection of product innovation ...

... NIKE, Inc.- Beaverton, OR. Partner closely with product engineering and chemical engineering teams ... Data analysis Apply at www.Nike.com/Careers (Job# R-84910) #LI-DNI We offer a number of ...

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Data Engineer Nike information

See Oregon salary details

$47K

$137.1K

$187.7K

How much do data engineer nike jobs pay per year?

As of Aug 4, 2026, the average yearly pay for data engineer nike in Oregon is $137,147.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,100.00 and $145,400.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a data engineer at Nike?

To thrive as a Data Engineer at Nike, you need strong skills in data modeling, ETL development, and programming languages such as Python or Scala, typically backed by a degree in computer science or a related field. Experience with cloud platforms (e.g., AWS, GCP), big data tools (e.g., Spark, Hadoop), and relevant certifications are highly valued. Analytical thinking, problem-solving, and effective communication help you collaborate with cross-functional teams and translate business needs into technical solutions. These abilities ensure robust data pipelines and insights that drive Nike’s strategic decisions and innovation.

What is the difference between Data Engineer Nike vs Data Analyst Nike?

AspectData Engineer NikeData Analyst Nike
Required CredentialsBachelor's in CS, Engineering, or related; SQL, Python, ETL skillsBachelor's in Statistics, Math, or related; SQL, Excel, data visualization skills
Work EnvironmentBuilds data pipelines, manages databases, collaborates with engineering teamsInterprets data, creates reports, supports decision-making
Employer & Industry UsageUsed in tech, retail, sports apparel companies like NikeCommon in marketing, finance, retail sectors including Nike

Data Engineer Nike focuses on developing and maintaining data infrastructure, while Data Analyst Nike interprets data to generate insights. Both roles are essential in Nike's data ecosystem but serve different functions within the organization.

What does a data engineer at Nike do?

A Data Engineer at Nike is responsible for designing, building, and maintaining the systems that collect, store, and process large volumes of data. They work closely with data scientists, analysts, and other stakeholders to ensure data is accessible, reliable, and ready for analysis. Their work supports decision-making across various departments, from product development to marketing, by ensuring high-quality data infrastructure and pipelines. Data Engineers at Nike often use technologies such as AWS, Python, SQL, and big data tools to manage and optimize data workflows.

How does a data engineer at Nike typically collaborate with data scientists and business analysts?

At Nike, Data Engineers work closely with data scientists and business analysts to ensure data is accessible, reliable, and optimized for analysis. They are responsible for building and maintaining data pipelines, integrating new data sources, and ensuring data quality. Regular collaboration occurs through agile team meetings, where Data Engineers gather requirements, discuss data challenges, and prioritize tasks. This teamwork ensures that analytical models and business insights are based on well-structured, high-quality data, directly contributing to Nike’s data-driven decision-making.
What job categories do people searching Data Engineer Nike jobs in Oregon look for? The top searched job categories for Data Engineer Nike jobs in Oregon are:
What cities in Oregon are hiring for Data Engineer Nike jobs? Cities in Oregon with the most Data Engineer Nike job openings:
Infographic showing various Data Engineer Nike job openings in Oregon as of July 2026, with employment types broken down into 1% As Needed, 87% Full Time, 9% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $137,147 per year, or $65.9 per hour.

Lead Data Engineer

Nike

Beaverton, OR • On-site

$119K - $143K/yr

Full-time

Posted 12 days ago


Nike rating

7.6

Company rating: 7.6 out of 10

Based on 274 frontline employees who took The Breakroom Quiz

7th of 104 rated fashion retailers


Job description

LEAD, DATA ENGINEER - NIKE
[Beaverton, OR - USA]
WHO YOU'LL WORK WITH
Consumer Product and Innovation (CP&I) Data and Analytics Engineering sits at the intersection of product innovation and enterprise data strategy at Nike. Reporting to the Engineering Director, this team partners with data scientists, engineers, analysts, and product managers to build a cross-capability data foundation and a semantic layer that powers Advanced Analytics, Business Intelligence, and AI solutions driving business growth.
WHO WE ARE LOOKING FOR
We're looking for a Lead Data Engineer to design, build, and maintain scalable data pipelines and analytics solutions within Nike's CP&I organization. This role drives the development of robust data products that support Business Intelligence and AI initiatives across the business. The candidate will lead technical design and development while mentoring junior engineers and setting standards for data governance, performance, and engineering excellence.
We're seeking someone with deep expertise in distributed data processing and cloud-based data platforms who can translate complex business requirements into reliable, production-grade solutions. The ideal candidate brings strong leadership instincts, excels in cross-functional collaboration, and communicates technical concepts clearly to both engineering peers and non-technical stakeholders. Success in this role requires a builder's mindset, a commitment to continuous improvement, and the ability to thrive in a fast-paced environment where data directly fuels innovation and growth.
  • Bachelor's degree or equivalent combination of education, experience, or training
  • 8+ years of experience as a Data Engineer with strong expertise in Databricks, PySpark, SQL, and Apache Spark
  • Hands-on experience with the Databricks Lakehouse Platform, Medallion architecture, Delta Lake, and AWS data services (S3, RDS)
  • Proven experience leading and mentoring data engineering teams, with strong skills in CI/CD, Git, and DevOps practices
  • Experience with data modeling, ETL/ELT processes, real-time data processing frameworks (Kafka, Kinesis, or similar), and cross-functional stakeholder communication

Preferred qualifications:
  • Knowledge of Generative AI and Machine Learning pipelines and integrating them into production environments
  • Databricks certification (e.g., Databricks Certified Data Engineer or Databricks Certified Developer for Apache Spark)

WHAT YOU'LL WORK ON
You'll be at the forefront of building Nike's data foundation and semantic layer - designing and delivering the pipelines, frameworks, and data products that turn raw data into insights shaping product innovation and business strategy. This is hands-on, high-impact work at the intersection of engineering craft and enterprise scale.
  • Lead the design, development, and deployment of scalable data pipelines and architectures that power analytics and AI initiatives across CP&I
  • Partner with data scientists, analysts, product managers, and business stakeholders to translate requirements into technical specifications and deliver solutions that drive decision-making
  • Mentor junior data engineers and champion best practices in coding standards, data governance, and performance optimization
  • Build and maintain robust, reusable data engineering components, frameworks, and libraries that process data from diverse sources with consistency and quality
  • Monitor, troubleshoot, and optimize data pipelines to ensure high availability, performance, and reliability at enterprise scale
  • Implement CI/CD pipelines to automate deployment and testing of data engineering workflows
  • Participate in code reviews and contribute to a culture of collaboration, innovation, and continuous improvement

We offer a number of accommodations to complete our interview process including screen readers, sign language interpreters, accessible and single location for in-person interviews, closed captioning, and other reasonable modifications as needed. If you discover, as you navigate our application process, that you need assistance or an accommodation due to a disability, please complete the Candidate Accommodation Request Form.

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