1

Data Engineer Contract Jobs in Rochester Hills, MI

Java Developer

Dearborn, MI · On-site

$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 ...

Data/ Information Architect

Dearborn, MI · On-site

$86K - $166K/yr

... 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 ...

Contract Manager

Detroit, MI

$88K - $117K/yr

Data-Driven Insights: Generate comprehensive metric reports tracking contract management ... Associates degree in Supply Chain Management, Logistics, Business Administration, Engineering, or a ...

Senior .NET Developer (Contract)

Troy, MI · On-site

$51.75 - $68.25/hr

NET Developer (Contractor) to support the modernization of our enterprise web application. The ... Background in data analytics or AI model integration. * Familiarity with REST APIs, JSON, and web ...

Senior .NET Developer (Contract)

Troy, MI · On-site

$51.75 - $68.25/hr

Detroit Metro Area (Local candidates only) Contract Duration: 6 months (with potential extension ... Background in data analytics or AI model integration. * Familiarity with REST APIs, JSON, and web ...

... to $62 per hour (W2 contract non-benefitted, No PTO - ever hour worked is an hour paid ... programming. * Proficiency with tools such as Power BI, Visual Basic, MS Excel, MATLAB/Simulink ...

... to $62 per hour (W2 contract non-benefitted, No PTO - ever hour worked is an hour paid ... programming. * Proficiency with tools such as Power BI, Visual Basic, MS Excel, MATLAB/Simulink ...

Showing results 21-40

Data Engineer Contract information

See Rochester Hills, MI salary details

$41K

$119.4K

$163.4K

How much do data engineer contract jobs pay per year?

As of Aug 10, 2026, the average yearly pay for data engineer contract in Rochester Hills, MI is $119,398.00, according to ZipRecruiter salary data. Most workers in this role earn between $105,400.00 and $126,600.00 per year, depending on experience, location, and employer.

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 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 most commonly searched types of Data Engineer jobs in Rochester Hills, MI? The most popular types of Data Engineer jobs in Rochester Hills, MI are:
What are popular job titles related to Data Engineer Contract jobs in Rochester Hills, MI? For Data Engineer Contract jobs in Rochester Hills, MI, the most frequently searched job titles are:
What job categories do people searching Data Engineer Contract jobs in Rochester Hills, MI look for? The top searched job categories for Data Engineer Contract jobs in Rochester Hills, MI are:
What cities near Rochester Hills, MI are hiring for Data Engineer Contract jobs? Cities near Rochester Hills, MI with the most Data Engineer Contract job openings:
Infographic showing various Data Engineer Contract job openings in Rochester Hills, MI as of August 2026, with employment types broken down into 78% Full Time, and 22% Contract. Highlights an 74% In-person, and 26% Remote job distribution, with an average salary of $119,398 per year, or $57.4 per hour.

Senior Data Scientist (Consultant)

Strategic Staffing Solutions

Detroit, MI • On-site

Other

Posted 3 days ago

New


Job description

STRATEGIC STAFFING SOLUTIONS (S3) HAS AN OPENING!

Senior Data Scientist (Consultant)
Detroit, MI (Hybrid/Onsite Tues-Thurs)
W2 contract role
12 months with opportunity to extend
Competitive salary with benefits

Role Summary
We are looking for a senior practitioner who has successfully built and deployed at least one production-grade Retrieval Augmented Generation (RAG) solution. The ideal candidate should be capable of working across the full AI lifecycle, including ingestion, retrieval, modeling, APIs, testing, deployment, monitoring, and operational support.

The candidate should also have strong expertise in classical machine learning and statistics and be experienced in delivering explainable, auditable AI solutions within regulated, human-in-the-loop environments.

Additional details:
Machine Learning & Applied AI


  • Strong background in supervised and unsupervised learning, including:

    • Classification
    • Ranking
    • Clustering
    • Anomaly detection
    • Predictive modeling

  • Experience selecting evaluation metrics and designing representative test datasets
  • Hands-on experience with explainability techniques such as SHAP, LIME, and feature importance analysis
  • Experience designing human-in-the-loop AI systems with review, escalation, override, and feedback mechanisms

Generative AI & Retrieval


  • Production experience with:

    • RAG architectures
    • Embeddings
    • Semantic search
    • Re-ranking
    • Prompt engineering
    • Vector databases

  • Experience building enterprise copilots, assistants, or document-grounded decision-support systems
  • Ability to evaluate retrieval quality, grounding, hallucination risk, answer quality, and failure modes
  • Experience with open-source or locally hosted LLMs preferred

Python & Software Engineering


  • Advanced Python skills, including:

    • Pandas
    • NumPy
    • Scikit-learn
    • PyTorch (or similar deep learning framework)

  • Ability to develop maintainable, production-quality code rather than notebook-only solutions
  • Experience with:

    • Git and code reviews
    • Unit and integration testing
    • CI/CD pipelines
    • API development
    • Docker or Podman

  • Experience with agentic development is a plus
  • Comfortable working in both local and cloud environments

Data Engineering & Integration


  • Strong SQL and ETL/ELT development skills
  • Experience integrating:

    • REST APIs
    • Enterprise document repositories
    • Workflow systems
    • Batch and incremental data pipelines

  • Experience with PostgreSQL, SQL Server, data lake architectures, data lineage, and data quality controls
  • Ability to design resilient ingestion pipelines for documents, metadata, attachments, and changing source-system records

*Beware of scams. S3 never asks for money during its onboarding process