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Data Engineer Nike Jobs (NOW HIRING)

Nike

Lead Process Analyst

Beaverton, OR · On-site

Lead Process Analyst - NIKE, Inc. - Beaverton, OR. Extract meaning from data using specialized ... Engineering and five (5) years of progressive post-baccalaureate experience in the job offered or ...

Nike

Lead, Data Scientist - Converse

Boston, MA · On-site

$258K/yr

Advanced in SQL (data transformation, complex querying, data engineering concepts * Familiarity with cloud analytics environments and modern data stacks/ platforms (Data Bricks and Snowflake ...

Astronomer

$210 - $250/hr

Astronomer empowers data teams to bring mission-critical software, analytics, and AI to life and is ... Airbnb, Uber, OpenAI, Anthropic, Nike, Capital One, Disney all use Airflow extensively. At ...

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Senior Software Engineer - Build, NYC

Manhattan, NY · On-site

$210 - $250/hr

Astronomer empowers data teams to bring mission-critical software, analytics, and AI to life and is ... Airbnb, Uber, OpenAI, Anthropic, Nike, Capital One, Disney all use Airflow extensively. At ...

Apply

$210 - $250/hr

Astronomer empowers data teams to bring mission-critical software, analytics, and AI to life and is ... Airbnb, Uber, OpenAI, Anthropic, Nike, Capital One, Disney all use Airflow extensively. At ...

Quince

Staff Data Analyst

Palo Alto, CA · On-site

Shaw, Stitch Fix, Urban Outfitters, Wayfair, McKinsey, Nike, and many others. The Opportunity ... Partner cross-functionally with Data, Product, Engineering, and Finance teams to improve ...

Quince

Staff Data Analyst-Returns

OR · On-site +1

Shaw, Stitch Fix, Urban Outfitters, Wayfair, McKinsey, Nike etc. THE IDEAL CANDIDATE The ideal ... Partner on system improvements and cross-functional initiatives - collaborate with engineering and ...

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Data Engineer Nike information

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$44.5K

$129.7K

$177.5K

How much do data engineer nike jobs pay per year?

As of Sep 4, 2026, the average yearly pay for data engineer nike in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

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.

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.

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 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.

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Data Engineer Nike jobs near you
Infographic showing various Data Engineer Nike job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

Lead Process Analyst

Nike

Beaverton, OR • On-site

Full-time

Re-posted 17 days ago

Key responsibilities

  • Extract meaning from data using specialized computer systems to transform, organize, and model the data.

  • Generate reports, datasets, and information dashboards for end-users using system tools and database queries.

  • Develop and manage operational initiatives to deliver tactical results.

Nike rating

7.7

Company rating: 7.7 out of 10

Based on 276 frontline employees who took The Breakroom Quiz

6th of 104 rated fashion retailers

Job description

Lead Process Analyst - NIKE, Inc. - Beaverton, OR. Extract meaning from data using specialized computer systems to transform, organize, and model the data to draw conclusions and identify patterns; generate reports and regular datasets or report information for end-users using system tools and database or data warehouse queries and scripts; integrate data from multiple sources to produce requested or required data elements; program and maintains report forms and formats, information dashboards, data generators, and other end-user information portals or resources; work with non-routine information and develops recommendations for ideas or services; develop and manage operational initiatives to deliver tactical results; provide direction and mentorship to teammates and communicate clearly to a broad audience; solve problems using limited information and implements solutions with the ability to foresee most future implications; take initiative to improve upon existing processes; advise others on complex matters using skills to understand complex work, such as in-depth knowledge or conceptual thinking; responsible for using predictive and prescriptive analytics to forecast consumer demand; develop new algorithms and improve existing approaches based on statistical Veconometric methods, machine learning techniques and solutions to forecast consumer demand and determine efficient level of investment in various stages of the supply chain; assess business requirements and constraints to make tradeoff recommendations between speed and accuracy of alternative solution approaches; identify and apply appropriate methods to acquire, explore, cleanse, and fuse data from different sources; facilitate the planning, scheduling and value measurement of the work to meet timeline targets and success criteria; support the adoption of analytic products through effective storytelling and collaboration with key partners; and share knowledge with others on the team; and continue to adapt or develop new methods and learn new software packages as available in the literature and recent publications. Telecommuting is available from anywhere in the U.S., except from AK, AL, AR, DE, HI, IA, ID, IN, KS, KY, LA, MT, ND, NE, NH, NM, NV, OH, OK, RI, SD, VT, WV, and WY.
Employer will accept a Bachelor's degree in Computer Science, Supply Chain Management, Computer Engineering and five (5) years of progressive post-baccalaureate experience in the job offered or in an analysis-related occupation. Experience must include:
Position requires:
• SAP
• Manhattan WMS
• JIRA
• Splunk
• Agile methodologies
• Microfocus ALM
• Cognos
• SAP Cloud Integration
Apply at www.Nike.com/Careers (Job # R-88191 )
#LI-DNI
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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