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Data Engineer Nike Jobs (NOW HIRING)

Red Alpha

AI Engineer

Annapolis Junction, MD · On-site

$170K - $230K/yr

Data Analysis and Modeling: Conduct Exploratory Data Analysis (EDA) on diverse datasets (both ... as Under Armour, Nike, Carhartt, YETI, etc. * Enjoy the culture: Attend fun company events ...

Higharc

Software Engineer, Config

Join a founding team who've shipped products for Autodesk, Electronic Arts, Nike, and Apple. We ... Build and maintain full-stack features spanning UI, API layer, business logic, and data models

YipitData

Senior Data Analyst

$88K - $111K/yr

... Nike, Lululemon, and industry products tracking US consumer behavior and pricing. This team ... Collaborate cross-functionally with Research, Engineering, and other teams - coordinating across ...

Singular

Senior Solutions Engineer

$56.50 - $73/hr

... Nike, EA, DraftKings, and Robinhood. Ranked as the #1 MMP by G2 for 3 years in a row, Singular ... You should be comfortable investigating SDK, API, attribution, data validation, web, and reporting ...

Red Alpha

AI Engineer

Annapolis, MD · On-site

$170K - $230K/yr

Data Analysis and Modeling: Conduct Exploratory Data Analysis (EDA) on diverse datasets (both ... as Under Armour, Nike, Carhartt, YETI, etc. * Enjoy the culture: Attend fun company events ...

Higharc

Software Engineer, Showroom

Join a founding team who've shipped products for Autodesk, Electronic Arts, Nike, and Apple. We ... Build and maintain full-stack features spanning UI, API layer, business logic, and data models

Flora AI

Backend Engineer - Applied AI

New York, NY · On-site

$175K - $240K/yr

... Lionsgate, and Nike. About the role We're hiring a backend engineer to build and scale the ... Speed up the canvas and cut data overhead.Cut database query overhead. Move tool configs and ...

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All JobsData Engineer Nike Jobs

Data Engineer Nike information

See salary details

$44.5K

$129.7K

$177.5K

How much do data engineer nike jobs pay per year?

As of Jul 14, 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 are the key skills and qualifications needed to thrive as a Data Engineer at Nike, and why are they important?

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.
More about Data Engineer Nike jobs
What cities are hiring for Data Engineer Nike jobs? Cities with the most Data Engineer Nike job openings:
What states have the most Data Engineer Nike jobs? States with the most job openings for Data Engineer Nike jobs include:
What job categories do people searching Data Engineer Nike jobs look for? The top searched job categories for Data Engineer Nike jobs are:
Data Engineer Nike jobs near you
Infographic showing various Data Engineer Nike job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.
AI Engineer

AI Engineer

Red Alpha

Annapolis Junction, MD • On-site

$170K - $230K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 26 days ago

Job description

A day in the life:

We're looking for an AI Engineer to work closely with system and software engineers to design, prototype, and integrate AI advancements into the existing RAD architecture. This is a transformative position focused on building solutions that augment human intelligence, streamline workflows, and enhance the overall effectiveness of intelligence operations.

What you bring to the table:
  • 10 + years of relevant experience with AI, Data Science and Development
  • A Bachelor of Science degree in Computer Science or a related field from an accredited institution.  Four (4) addn'l years of relevant experience may be considered in lieu of a degree
  • Design and Development: Lead the design and development of AI-driven solutions from conception to deployment, ensuring seamless integration with the existing software architecture. This includes prototyping new models, writing production-quality code, and maintaining existing AI systems.
  • Collaboration and Communication: Serve as a key technical liaison, collaborating with cross-functional teams including system engineers, software developers, and domain experts. Effectively present and articulate recommended AI approaches, discussing the tradeoffs and implications of different implementations with both technical and non-technical stakeholders.
  • Data Analysis and Modeling: Conduct Exploratory Data Analysis (EDA) on diverse datasets (both structured and unstructured) to inform the data model, identify data quality issues, and determine optimal input formats for AI models.
  • Model Building and Evaluation: Develop, train, and evaluate a variety of machine learning models, ensuring they meet performance and reliability requirements. Implement robust testing and validation strategies to ensure models are accurate and unbiased.
  • Continuous Improvement: Stay current with the latest advancements in AI and machine learning, continuously seeking opportunities to apply new technologies and methodologies to improve existing systems and solve complex problems.
  • Cloud Platforms: Have experience with the Amazon Web Services (AWS) cloud computing platform and machine learning operations (MLOps) tools for deploying and managing machine learning models at scale.
The total package:
 
Our total compensation package was strategically designed with our members in mind with the intention to: reward our members for their hard work and commitment to our customers' missions; allow members to share in Red Alpha's success as we continue to grow and expand our footprint; provide long-term career opportunities through stability and internal mobility; and provide the resources our members need to support themselves and their dependents in the form of a robust benefits package.  Our total compensation package includes a competitive base salary and benefits such as health, life/disability, 401k, paid time off, professional development, and generous bonus programs.  Please visit our benefits tab for additional information. 
 
Salary Range:   
  • Disclosed pay ranges are a general guideline, and are not a guarantee of a final salary or compensation.  Our approach in determining final salaries takes into consideration a number of factors such as education, certifications, total years of relevant professional experience, actual level of expertise, and the responsibilities of the role itself. 
  • Based on the outlined roles, responsibilities, and requirements, the projected pay range for this position is:  $170,000 - $230,000. 
Some of our additional perks and benefits include:                 
  • Retire sooner than planned: Get closer to retirement with up to 10% in 401k contributions, immediately vested. 
  • Have a career AND a life: Enjoy up to 5 weeks of leave (25 days of personal time off) and 11 paid floating holidays.
  • Stay at your best: As a member, we'll pay 100% of your premiums for comprehensive health, dental, and vision insurance. We'll also pay the majority of the premiums for your family.  Let's not forge free access to a fully equipped state of the art gym!
  • Keep current on new technologies and technological advancements:  $5250 per year towards ongoing education, trainings, certifications, and maintaining professional memberships. 
  • Dress in style:  Spend up to $300 per year on company branded merchandise featuring top quality brands such as Under Armour, Nike, Carhartt, YETI, etc.
  • Enjoy the culture:  Attend fun company events throughout the year such as our Oktoberfest, summer picnic, and annual holiday party!  These are all in additon to your team events which may include happy hours, baseball games, snowboarding, RenFest, and more!
Every day, our elite customers are pushing through "the grind" to defeat the enemy, even putting their lives on the line for our freedom. Rise to the occasion with us to deliver engineering excellence, to match their dedication to this nation. Join us as we bring digital transformation to the fight! 

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