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Data Engineer Nike Jobs in Michigan (NOW HIRING)

Data Engineer (with NIKE exp.)

Dearborn, MI · On-site

$105K - $126K/yr

Damco Solutions is seeking a Data Engineer with experience in big data technologies. The role involves working with tools such as Hadoop, Spark, and Python to process and analyze large data sets.

Data Engineer Nike information

See Michigan salary details

$38.8K

$113.1K

$154.7K

How much do data engineer nike jobs pay per year?

As of Sep 5, 2026, the average yearly pay for data engineer nike in Michigan is $113,060.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,800.00 and $119,800.00 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.

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

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

Infographic showing various Data Engineer Nike job openings in Michigan as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $113,060 per year, or $54.4 per hour.

Data Engineer (with NIKE exp.)

Damco Solutions

Dearborn, MI • On-site

$105K - $126K/yr

Full-time

Re-posted 16 days ago


Job description

Job Summary:
Damco Solutions is seeking a Data Engineer with experience in big data technologies. The role involves working with tools such as Hadoop, Spark, and Python to process and analyze large data sets.
Qualifications:
Required:
• Linux
• Hadoop
• Hive
• HQL (Hive Query Language)
• Python
• Spark
• Pyspark
• Big data processing
• Software resource technical skill, such as; Pyspark, Python, Scala, Java, Hadoop hive, big data processing experience.
• Awareness and good to have on hands-on of Cloudera Data Platform, ETL, (ok if not all)
• Understanding of databases like Teradata, SQL, Hive, HBase, NoSQL, etc.
• Hands-on Pyspark/Python programming exposure and Good knowledge of Spark SQL.
• Strong in Software Programming/Engineering with a good understanding of DevOps, GitHub etc.
• Must know the Hadoop concept and open to learning new technology/toolset
• Learning attitude and flexible with project and timings
• Good communication and presentation skills.
Preferred:
• GCP will be an added advantage
Company:
Damco Solutions is a provider of IT solutions, services, and products. Founded in 1996, the company is headquartered in Plainsboro, USA, with a team of 1001-5000 employees. The company is currently Late Stage.