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Data Engineer Nike Jobs in Texas (NOW HIRING)

Scalepex

AWS Data Engineer - Fully Remote - US Only

Plano, TX · On-site +1

$109K - $131K/yr

... Nike, Pepsi, Toyota, Virgin and Walgreens. Our mission is to connect prominent market leaders with ... The ideal candidate will have at least 5 years of experience in data engineering, a deep ...

Scalepex

AWS Data Engineer - Fully Remote - US Only

Plano, TX · Remote

$109K - $131K/yr

... Nike, Pepsi, Toyota, Virgin and Walgreens. Our mission is to connect prominent market leaders with ... The ideal candidate will have at least 5 years of experience in data engineering, a deep ...

Scalepex

Senior Program Manager - Fully Remote

Dallas, TX · Remote

$114K - $115K/yr

... Nike, Walgreens, Virgin, Pepsi, and Toyota. Our mission is to connect prominent market leaders with ... Working with cross-functional teams, including software architects, engineers, developers, and ...

Scalepex

Senior Program Manager - Fully Remote

Dallas, TX · On-site +1

$114K - $115K/yr

... Nike, Walgreens, Virgin, Pepsi, and Toyota. Our mission is to connect prominent market leaders with ... Working with cross-functional teams, including software architects, engineers, developers, and ...

PMG

Analytics Senior Director

Dallas, TX

Our team comprises over 900 employees globally, and our work for ambitious brands like Apple, Nike ... You'll collaborate with media strategists, data engineers, creative teams, and business leaders ...

PMG

Forward Deployed Engineering Principal

Dallas, TX · On-site

Our team comprises over 900 employees globally, and our work for ambitious brands like Apple, Nike ... Design and deliver custom technical solutions across data, measurement, workflows, mobile, and ...

PMG

Product Lead

Dallas, TX · On-site

Our team comprises over 900 employees globally, and our work for ambitious brands like Apple, Nike ... Prior experience working with LLMs and prompt engineering and/or data science modeling * Prior ...

PMG

Product Lead

Dallas, TX · On-site

Our team comprises over 900 employees globally, and our work for ambitious brands like Apple, Nike ... Prior experience working with LLMs and prompt engineering and/or data science modeling * Prior ...

PMG

Product Senior Lead

Dallas, TX · On-site

$125K - $165K/yr

Our team comprises over 900 employees globally, and our work for ambitious brands like Apple, Nike ... Prior experience working with LLMs and prompt engineering and/or data science modeling * Prior ...

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All JobsData Engineer Nike JobsData Engineer Nike Jobs in Texas

Data Engineer Nike information

See Texas salary details

$41.5K

$120.9K

$165.4K

How much do data engineer nike jobs pay per year?

As of Aug 13, 2026, the average yearly pay for data engineer nike in Texas is $120,851.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,700.00 and $128,100.00 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 are popular job titles related to Data Engineer Nike jobs in Texas?

For Data Engineer Nike jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Data Engineer Nike jobs in Texas look for?

The top searched job categories for Data Engineer Nike jobs in Texas are:

What cities in Texas are hiring for Data Engineer Nike jobs?

Cities in Texas with the most Data Engineer Nike job openings:

Data Engineer Nike jobs near you
Infographic showing various Data Engineer Nike job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 10% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $120,851 per year, or $58.1 per hour.

AWS Data Engineer - Fully Remote - US Only

Scalepex

Plano, TX • On-site, Remote

$109K - $131K/yr

Full-time

Re-posted 26 days ago

Job description

❋ Why Scalepex?
Scalepex is a dynamic services firm specializing in providing solutions for premium brands like Nike, Pepsi, Toyota, Virgin and Walgreens. Our mission is to connect prominent market leaders with top-tier professionals from around the world, fostering collaboration, efficiency, and growth.
❋ Take your portfolio to the next level by working with one of our fastest growing clients.
Join the Innovation Frontier at Scalepex!
About the Role
We are seeking an experienced AWS Data Engineer with a strong background in building scalable data solutions and expertise in utilities-related datasets. The ideal candidate will have at least 5 years of experience in data engineering, a deep understanding of distributed systems, and proficiency with AWS services and tools like Step Functions, Lambda, Glue, and Redshift. This role will focus on designing, developing, and optimizing data pipelines to support analytics and decision-making in the utilities industry.
Key Responsibilities
  • Design and Build Data Pipelines: Develop scalable, reliable data pipelines using AWS services (e.g., Glue, S3, Redshift) to process and transform large datasets from utility systems like smart meters or energy grids.
  • Workflow Orchestration: Use AWS Step Functions to orchestrate workflows across data pipelines; experience with Airflow is acceptable but Step Functions is preferred.
  • Data Integration and Transformation: Implement ETL/ELT processes using PySpark, Python, and Pandas to clean, transform, and integrate data from multiple sources into unified datasets.
  • Distributed Systems Expertise: Leverage experience with complex distributed systems to ensure reliability, scalability, and performance in handling large-scale utility data.
  • Serverless Application Development: Use AWS Lambda functions to build serverless solutions for automating data processing tasks.
  • Data Modeling for Analytics: Design data models tailored for utilities use cases (e.g., energy consumption forecasting) to enable advanced analytics
  • Optimize Data Pipelines: Continuously monitor and improve the performance of data pipelines to reduce latency, enhance throughput, and ensure high availability.
  • Ensure Data Security and Compliance: Implement robust security measures to protect sensitive utility data and ensure compliance with industry regulations.

Requirements
Required Qualifications
  • Minimum of 5 years of experience in data engineering
  • Proficiency in AWS services such as Step Functions, Lambda, Glue, S3, DynamoDB, and Redshift.
  • Strong programming skills in Python with experience using PySpark and Pandas for large-scale data processing.
  • Hands-on experience with distributed systems and scalable architectures.
  • Knowledge of ETL/ELT processes for integrating diverse datasets into centralized systems.
  • Familiarity with utilities-specific datasets (e.g., smart meters, energy grids) is highly desirable.
  • Strong analytical skills with the ability to work on unstructured datasets.
  • Knowledge of data governance practices to ensure accuracy, consistency, and security of data.

  • Strong experience in AWS data engineering
  • Ability to work independently
  • Ability to work with a cross-functional teams, including interfacing and communicating with business stakeholders
  • Professional oral and written communication skills
  • Strong problem solving and troubleshooting skills with experience exercising mature judgement
  • Excellent teamwork and interpersonal skills
  • Ability to obtain and maintain the required clearance for this role

Apply