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Data Engineer Contract Jobs in Detroit, MI (NOW HIRING)

Sr. Data Analyst

Detroit, MI · Hybrid

$85K - $107K/yr

Detroit, MI (Hybrid) Duration: 12 Month Contract Job Summary The Senior Data Analyst will lead the ... data engineering concepts, ETL/ELT, data modeling, APIs, cloud platforms, and data quality ...

Senior Technical Engineer

Dearborn, MI · On-site

$96K - $131K/yr

Translate union contracts, labor laws, and work rules into system logic * Manage platform ... Engineer Exp: 7+ years Data Engineering work experience Education Required: * Bachelor's Degree ...

Data / Information Architect

Dearborn, MI · On-site

$58.50 - $75.25/hr

... creating contracts, and provide architectural guidance for the implementation of the IS data ... Bachelor of Computer Science, Information Systems, Systems Programming or equivalent combination of ...

Data / Information Architect

Dearborn, MI · On-site

$58.75 - $75.50/hr

... creating contracts, and provide architectural guidance for the implementation of the IS data ... Bachelor of Computer Science, Information Systems, Systems Programming or equivalent combination of ...

ML Ops Engineer

Dearborn, MI · On-site

$48.50 - $66.50/hr

ML Ops Engineer Duration: Long-Term Contract Location: Hybrid - 4 days/week onsite Description: This role focuses on building and scaling enterprise-grade ML Ops and data engineering solutions to ...

Be Seen First

... engineering and technical centers. Kett's core service offerings include contract recruiting and ... data acquisition and reporting, mapping programs and test trip staffing, and logistics and support.

Java Developer

Dearborn, MI

$46.75 - $60.75/hr

Title :- Java Developer Contract: 6 months + Location: Dearborn, MI Essential Job 1. Design and development of data ingestion pipelines. Functions: 2. Perform data migration and conversion activities ...

Showing results 21-40

Data Engineer Contract information

See Detroit, MI salary details

$40.7K

$118.7K

$162.4K

How much do data engineer contract jobs pay per year?

As of Sep 3, 2026, the average yearly pay for data engineer contract in Detroit, MI is $118,689.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,800.00 and $125,800.00 per year, depending on experience, location, and employer.

What is a data engineer contract?

A Data Engineer Contract job is a temporary or project-based role where a data engineer is hired for a specific duration to design, build, and maintain data pipelines and infrastructure. Contract data engineers often work with big data technologies, ETL processes, and cloud platforms to ensure data is efficiently processed and accessible. These roles can be short-term (a few months) or long-term (a year or more), depending on the project's needs. Contractors may work independently or as part of a larger data team, and they are typically paid hourly or per project rather than receiving a fixed salary and benefits like full-time employees.

What are the typical daily responsibilities of a data engineer contract?

As a Data Engineer contractor, your day-to-day tasks often include designing, building, and maintaining data pipelines, implementing ETL processes, and preparing datasets for analytics or machine learning teams. You may be asked to collaborate with data scientists, analysts, and other engineers to understand data requirements and resolve technical issues. Contractors also frequently assess data quality, optimize performance, and document their work for seamless team integration. The role is fast-paced and may require you to quickly adapt to new projects or technologies, making it ideal for those who enjoy dynamic, project-based environments.

What are the key skills and qualifications needed to thrive in the data engineer contract position, and why are they important?

To thrive as a Data Engineer Contract, you need expertise in data modeling, ETL processes, and proficiency with programming languages such as Python or SQL, often supported by a degree in computer science or related field. Familiarity with big data platforms like Hadoop or Spark, experience with cloud services (AWS, GCP, or Azure), and certifications in relevant technologies are highly valued. Strong problem-solving skills, effective communication, and the ability to work independently are crucial soft skills. These abilities ensure data engineers can efficiently design scalable pipelines, troubleshoot issues, and collaborate across teams to support data-driven decision-making.

What are the most commonly searched types of Data Engineer jobs in Detroit, MI?

The most popular types of Data Engineer jobs in Detroit, MI are:

What are popular job titles related to Data Engineer Contract jobs in Detroit, MI?

For Data Engineer Contract jobs in Detroit, MI, the most frequently searched job titles are:

What job categories do people searching Data Engineer Contract jobs in Detroit, MI look for?

The top searched job categories for Data Engineer Contract jobs in Detroit, MI are:

What cities near Detroit, MI are hiring for Data Engineer Contract jobs?

Cities near Detroit, MI with the most Data Engineer Contract job openings:

Infographic showing various Data Engineer Contract job openings in Detroit, MI as of August 2026, with employment types broken down into 58% Full Time, and 42% Contract. Highlights an 59% In-person, and 41% Remote job distribution, with an average salary of $128,415 per year, or $61.7 per hour.

Data / Machine Learning Engineer - RSA - US

synergycom

Auburn Hills, MI

$108K - $130K/yr

Contractor

Posted 8 days ago


Job description

Data / Machine Learning Engineer - Application & Mainframe Modernization

Hybrid Auburn Hills, MI

Contract Role

Position Overview
We are seeking a hands-on Data / Machine Learning Engineer to support an
application and mainframe modernization initiative.
This resource will focus on developing AI/data engineering capabilities
to support the modernization effort and will work closely with a
dedicated Mainframe SME who will provide the legacy application and
mainframe expertise.
The ideal candidate will have strong hands-on experience with Python,
embeddings, vector databases, and RAG pipelines.
Key Responsibilities
- Design, develop, and support RAG (Retrieval-Augmented Generation)
pipelines for the application modernization initiative.
- Develop Python-based solutions and data/ML workflows.
- Create and work with embeddings to support retrieval and AI-driven
application use cases.
- Implement and work with vector databases to store, retrieve, and
manage embedded data.
- Build and maintain the data pipelines necessary to support RAG and
AI/ML workflows.
- Partner closely with the Mainframe SME to incorporate legacy
application knowledge and context into the modernization process.
- Work collaboratively with application and engineering teams
throughout the modernization effort.
- Test, troubleshoot, refine, and improve AI/data engineering
workflows and outputs.
- Support the development of scalable and repeatable approaches that
can be applied across the modernization initiative.

Required Qualifications
- Strong hands-on Python development experience.
- Hands-on experience building and supporting RAG pipelines.
- Experience creating and working with embeddings.
- Hands-on experience with vector databases.
- Data Engineering and/or Machine Learning Engineering experience.
- Experience developing data pipelines and integrating data across
systems.
- Strong analytical and troubleshooting skills.
- Ability to work collaboratively with technical SMEs and engineering
teams.

Preferred Qualifications
- Experience working on enterprise-scale technology initiatives.
- Experience working within complex application environments.
- Exposure to application modernization initiatives is beneficial.
Important Note
Mainframe/COBOL expertise is not required for this position. The Data/ML
Engineer will work alongside a dedicated Mainframe SME who will provide
the mainframe and legacy application expertise.
Core Skills
Python | Embeddings | Vector Databases | RAG Pipelines | Data/ML
Engineering