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Data Engineer Nike Jobs (NOW HIRING)

PMG

Structured Data Senior Lead

Dallas, TX

$66.50 - $89/hr

Our team comprises over 900 employees globally, and our work for ambitious brands like Apple, Nike ... Alli Product and Engineering teams to influence roadmap decisions around feed infrastructure ...

PMG

Structured Data Senior Lead

Dallas, TX · On-site

$66.50 - $89/hr

Our team comprises over 900 employees globally, and our work for ambitious brands like Apple, Nike ... Alli Product and Engineering teams to influence roadmap decisions around feed infrastructure ...

AEG

Data & Analytics Lead

Calabasas, CA · On-site

... Nike, and Visa, as well as Fortune 500 companies, professional sports leagues, and major ... Experimental Engineering: Be open to testing new tools, connectors, or AI-driven data processing ...

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 ...

Later

Director, Data and Analytics

Boston, MA · On-site

Trusted by leading enterprise brands including Nike, Wayfair, Unilever, and Southwest Airlines ... Partner with Data Engineering on data warehouse strategy, data quality frameworks, and metric ...

TicketManager

Data & Analytics Lead

Calabasas, CA · On-site

$80K - $100K/yr

... Nike, and Visa, as well as Fortune 500 companies, professional sports leagues, and major ... Experimental Engineering: Be open to testing new tools, connectors, or AI-driven data processing ...

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

Red Alpha

AI Engineer

Annapolis Junction, MD · On-site

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 ...

YipitData

OR

$85K - $108K/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 ...

Red Alpha Careers

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 ...

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 ...

Ohm Systems

Color Developer

Beaverton, OR · On-site

Nike * Duration: 6-12 month * Location: Beaverton, OR * Work Mode: Onsite Responsibilities ... Ability to read and analyze spectral data; strong digital color review and colorfastness risk ...

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, 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

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All JobsData Engineer Nike Jobs

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 Jun 22, 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.
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Data Engineer Nike jobs near you
Infographic showing various Data Engineer Nike job openings in the United States as of June 2026, with employment types broken down into 90% Full Time, and 10% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.
Structured Data Senior Lead

Structured Data Senior Lead

PMG

Dallas, TX

$66.50 - $89/hr

Full-time

Medical, Retirement, PTO

Posted 17 days ago

Be an early applicant

Job description

We are PMG

Named Ad Age Best Places to Work for 11 years in a row and Fast Company Best Workplaces for Innovators since 2022, PMG is a global independent marketing services and technology company that seeks to inspire people and brands that anything is possible. Driven by shared success, PMG leverages business strategy and transformation, creative, media, and insights—as well as its proprietary operating system, Alli—to deliver cutting-edge digital solutions and innovative media strategies.

Our team comprises over 900 employees globally, and our work for ambitious brands like Apple, Nike, Sephora, Experian, Therabody, Best Western Hotels & Resorts, Creed Fragrances, BNY, Intuit, CKE Restaurants, Travelex, and Whole Foods spans 85+ countries.

Who You Will Be Working With

You'll be part of PMG's Applied Technology organization, focused on Structured Data and Product Feed strategy that powers product-driven media campaigns at scale. This team operates at the intersection of commerce, media, analytics, and platform innovation. You will work closely with:

  • Vertical Business Leads and Client Strategy teams to align structured data decisions with commercial goals
  • Media teams across Search, Social, Programmatic, and Retail Media to ensure feeds are built for performance
  • Analytics and Measurement teams to improve product-level visibility and reporting
  • Alli Product and Engineering teams to influence roadmap decisions around feed infrastructure, automation, and emerging AI capabilities

You'll operate as a senior individual contributor with strong cross-functional influence—frequently internal client team–facing and external client-facing in strategic or technical conversations.

What You'll Be Doing

  • As a Structured Data Senior Lead, you will architect and evolve structured data solutions that directly impact media performance, personalization, and automation.
  • Own and evolve structured data frameworks that support product-driven campaigns across search, social, programmatic, and retail media.
  • Translate business and media objectives into scalable data models, schemas, and transformation logic.
  • Identify and prioritize metadata enhancements that unlock measurable impact in match rates, impression quality, conversion performance, and automation inputs.
  • Elevate product feed practices from operational execution to strategic advantage—ensuring feeds are designed for performance, not just platform compliance.
  • Drive data augmentation and enrichment initiatives, including:
  • Attribute expansion and optimization
  • Product clustering and categorization strategies
  • Integration of margin, inventory, or lifecycle data
  • Contextual tagging to support bidding and creative logic
  • Design structured data systems that anticipate automation and emerging "agentic commerce" use cases, such as AI-generated creative testing, automated product selection, and intelligent merchandising workflows.
  • Partner with Alli Product and Engineering teams to influence feed infrastructure, governance standards, and automation capabilities.
  • Establish structured data standards, validation frameworks, and QA protocols to ensure scalability, transparency, and long-term integrity.
  • Mentor junior team members through guidance, review, and best-practice setting—raising the overall technical and strategic maturity of the function.
  • Use AI and automation thoughtfully to improve feed workflows, reduce manual effort, and enhance structured data quality.

What You'll Bring

  • 6+ years of experience in structured data, product feeds, commerce data, or marketing data engineering.
  • Hands-on experience supporting product-driven campaigns (e.g., Google Shopping, Meta Catalog, retail media networks, dynamic creative).
  • Strong understanding of structured data logic, schema design, and transformation workflows.
  • SQL proficiency strongly recommended; comfort working with feed management systems and rule-based transformations.
  • The ability to translate business and media requirements into scalable data structures.
  • Experience driving metadata enhancements or data enrichment initiatives tied to measurable outcomes.
  • Familiarity with AI or automation applied to structured workflows, with sound judgment on where it adds real value.
  • Comfort operating independently on highly complex initiatives involving multiple stakeholders.
  • Strong communication skills and the ability to influence cross-functional partners without formal authority.
  • Experience mentoring or guiding junior team members in a collaborative, hands-on way.
  • Curiosity about emerging commerce models, including how structured data can enable intelligent and automated systems.

What We Offer

  • Professional Development: Take advantage of our learning and development programs, mentorship opportunities, and career advancement support.
  • Generous Time Off: Enjoy generous paid time off and holiday allowances to recharge and spend time with loved ones.
  • Parental Leave: We provide paid parental leave to support your family during important life events.
  • Retirement & Pension Plans: Plan for your future with competitive retirement or pension programs, including contribution matching.
  • Fertility and Family Support: Access fertility benefits for all team members and their spouses.
  • Healthcare: Coverage and support for everyday medical expenses and routine care, tailored by geography.
  • Pet Insurance: Protect your pet's health and your finances.
  • Lifestyle Spending Accounts: Enjoy 100% company-funded accounts to promote healthy habits and well-being.
  • Commuter Benefits: Access support for travel and commuting needs, where available.
  • Annual Bonus: All employees are eligible for an annual bonus.
  • Volunteering Opportunities: Receive 8 give-back hours to volunteer in your local communities.
  • AI Enterprise License: Access AI Enterprise accounts and participate in weekly AI training sessions to empower and ensure AI safety.

Benefits vary by country, location, and geography to reflect local laws, norms, and expectations.

What Sets Us Apart

Being part of PMG means joining a company culture that's unmatched in digital. We're dedicated to working hard to serve our employees and clients, delivering value, results, and innovation—which often requires true grit and agility. We believe in taking care of ourselves and each other to continuously improve in every way.

In alignment with our core values to be inclusive and always change for the better, PMG is committed to creating a more diverse and inclusive culture, and we are proud to be an equal opportunity employer. We believe that we only change for the better by bringing diverse perspectives to our company. PMG recruits, employs, trains, compensates, and promotes regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.