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Contract Data Engineering Jobs in Michigan (NOW HIRING)

Ford Motor Company

Data Engineering Manager

Dearborn, MI · On-site

Implement "Policy as Code," machine-readable data contracts, data quality observability, and strict ... Lead Engineering Execution: Manage and mentor pods of data and software engineers to design, build ...

Ford Motor Company

Data Engineering Manager

Dearborn, MI · On-site

$132K - $250K/yr

Implement "Policy as Code," machine-readable data contracts, data quality observability, and strict ... Strong programming skills in Python and SQL, with proficiency in Terraform/IaC for infrastructure ...

HTC Global Services

Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

The ideal candidate will bring internship or early professional experience in data engineering ... Help document data flows, data lineage, data contracts, transformation logic, and reporting ...

Continental Services

Data Engineer

Sterling Heights, MI · On-site

$107K - $128K/yr

... the top contract dining and refreshment providers in the nation according to Food Management ... Design and implement AI-augmented data engineering solutions-including AI agents, automated data ...

Continental Services

Data Engineer

Sterling Heights, MI · On-site

$97K - $146K/yr

... the top contract dining and refreshment providers in the nation according to Food Management ... Design and implement AI-augmented data engineering solutions--including AI agents, automated data ...

Continental Services

Data Engineer

Sterling Heights, MI

$106K - $128K/yr

... the top contract dining and refreshment providers in the nation according to Food Management ... Design and implement AI-augmented data engineering solutions-including AI agents, automated data ...

Saransh Inc

GCP Data Engineer with Python

Dearborn, MI · On-site

$105K - $126K/yr

Contract Experience: Overall 8 to 12 years Job Summary: * The Data Engineer will be responsible for supporting the Credit Global Securitization (GS) team's upskilling initiative by contributing to ...

Epitec

Data Engineer

Southfield, MI · On-site

$114K/yr

Contract * Job #104222 Employer: Epitec, Inc. Position: Data Engineer (Job Code: 1391) Duties : Responsible for supporting vehicle feature level performance sign-offs through data exploration and ...

Saanvi Technologies

Data Engineer 3

Dearborn, MI · On-site

$105K - $126K/yr

... union contracts, labor laws, and work rules into system logic • Manage platform governance ... Data Engineering work experience Education Required: Bachelor's Degree Education Preferred:

MM International

Data Engineer with DevOps Skill

Dearborn, MI · On-site

$105K - $126K/yr

Duration: 12 month contract. Additional Information: Hybrid Position Currently 2-3 days a week, but ... Core DataOps & Engineering Skills: · Proven experience as a DataOps Engineer, Data Engineer, or ...

LRS

Data Architect

Auburn Hills, MI

$40 - $60/hr

Codeworks, an LRS company, is seeking a Data Architect for a hybrid contract opportunity. This role ... Provide technical guidance and knowledge sharing to data engineers, ETL developers, and cross ...

Diverse Lynx

AWS Azure Senior Data Engineer

Detroit, MI · On-site

$95K - $131K/yr

Onsite Hybrid (10 days onsite per month) Contract duration: 12 months Does this position require ... AWS, Azure Fabric, Datalake Detailed 1. AWS Reverse Engineering & Subject Matter Expertise To ...

FastTek

Principal Data Engineer

Jackson, MI

Ability to work effectively with contract employees and external vendors. * Knowledge of change and ... Strong understanding of data design principles and systems engineering concepts, including ...

Levi Ray & Shoup Inc

Data Architect

Pontiac, MI · On-site

$40 - $60/hr

Codeworks, an LRS company, is seeking a Data Architect for a hybrid contract opportunity. This role ... Provide technical guidance and knowledge sharing to data engineers, ETL developers, and cross ...

FastTek

Senior Data Engineer

Jackson, MI

$96K - $131K/yr

Ability to work effectively with contract employees and external vendors. * Knowledge of change and ... Strong understanding of data design principles and systems engineering concepts, including ...

System One

Palantir Foundry Data Engineer

Detroit, MI · On-site

Detroit ,MI OR Remote Duration - Contract-to-Hire after 6 Months Employment Type - This is for W2 ... data engineering, particularly with PySpark, Python and SQL. • Experience designing and ...

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Contract Data Engineering information

Are data engineers still in demand?

Data engineers are currently in high demand due to the increasing reliance on data-driven decision making and the growth of big data technologies. Organizations seek professionals skilled in tools like SQL, Python, and cloud platforms to build and maintain data pipelines, making the role essential across many industries.

What is the difference between Contract Data Engineering vs Data Analyst?

AspectContract Data EngineeringData Analyst
Required SkillsSQL, Python, ETL, cloud platforms, data pipeline developmentSQL, Excel, data visualization, reporting tools
Work EnvironmentProject-based, technical teams, cloud or on-premises infrastructureBusiness units, reporting teams, often in office or remote
Industry UsageTech, finance, healthcare, retailMarketing, finance, healthcare, retail

Contract Data Engineers focus on building and maintaining data pipelines and infrastructure, requiring technical skills in programming and cloud platforms. Data Analysts interpret data, create reports, and visualize insights, often using different tools. While both roles work with data, Contract Data Engineering is more technical and infrastructure-oriented, whereas Data Analysts focus on data interpretation and business insights.

What engineers make $500,000?

Senior data engineers, especially those with extensive experience, specialized skills in cloud platforms, and expertise in big data tools, can earn $500,000 or more annually. High compensation is often associated with leadership roles, contract positions, or working in competitive industries like finance or technology. Achieving this level typically requires advanced certifications, a strong track record, and often working in high-cost-of-living areas or on high-stakes projects.

What is contract data engineering?

Contract data engineering refers to hiring data engineers on a temporary or project basis, rather than as full-time employees. Contract data engineers are responsible for designing, building, and maintaining data pipelines, databases, and other infrastructure to support data analytics and business needs. Companies often hire contract data engineers to handle specific projects, scale up teams quickly, or bring in specialized skills for a limited time. This arrangement offers flexibility for both the company and the engineer, and is common in industries with fluctuating data workloads or short-term projects.

Can a data engineer make 200k?

Senior data engineers with extensive experience, specialized skills in tools like Spark or cloud platforms, and working in high-cost-of-living areas can earn salaries of $200,000 or more. Compensation varies based on location, industry, and company size, with some roles offering bonuses and stock options that contribute to total earnings.

What are the key skills and qualifications needed to thrive as a Contract Data Engineer, and why are they important?

To thrive as a Contract Data Engineer, you need strong proficiency in data modeling, ETL processes, and programming languages such as Python or SQL, often supported by a degree in computer science or a related field. Familiarity with big data platforms (e.g., Hadoop, Spark), cloud services (AWS, Azure, GCP), and relevant certifications like Google Cloud Professional Data Engineer are typically required. Excellent problem-solving, adaptability, and effective communication are crucial soft skills in this role. These competencies enable efficient project delivery, seamless collaboration with stakeholders, and the ability to quickly adapt to new technical environments and client requirements.

What are some common challenges faced by contract data engineers and how can they be addressed?

Contract data engineers often face the challenge of quickly familiarizing themselves with a company's existing data infrastructure and processes. Since contracts are typically short-term, there is limited time to onboard, understand unique data pipelines, and build relationships with stakeholders. To address this, successful contract data engineers proactively communicate with team members, document their work thoroughly, and leverage their prior experience with a variety of tools and platforms. Flexibility and strong problem-solving skills are essential for adapting to new environments and delivering results efficiently.

What engineers make 300,000 a year?

Senior data engineers, especially those with extensive experience, advanced skills in cloud platforms, and expertise in big data tools like Spark and Hadoop, can earn $300,000 or more annually. High compensation is often associated with working in large organizations, in-demand industries, or holding leadership roles such as lead or principal data engineer.
What are the most commonly searched types of Data Engineering jobs in Michigan? The most popular types of Data Engineering jobs in Michigan are:
What are popular job titles related to Contract Data Engineering jobs in Michigan? For Contract Data Engineering jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Contract Data Engineering jobs in Michigan look for? The top searched job categories for Contract Data Engineering jobs in Michigan are:
What cities in Michigan are hiring for Contract Data Engineering jobs? Cities in Michigan with the most Contract Data Engineering job openings:
Contract Data Engineering jobs near you
Data Engineering Manager

Data Engineering Manager

Ford Motor Company

Dearborn, MI • On-site

Full-time

Medical, Dental, Vision, Life, PTO

Posted 20 days ago

Job description


PRO 360 requires a Data Engineering Manager to design, develop, and maintain the enterprise data architecture that unifies commercial customer data across Vehicles, Service, Software, and Ford Credit.
  • Lead Data Engineering: Drive the development of real-time and batch data pipelines, manage GCP infrastructure, ensure code quality, and oversee integrations with downstream systems like Salesforce and Marketing Cloud.
  • Drive AI Data Initiatives: Architect data foundations to support AI monetization, including predictive analytics and cutting-edge Agentic AI workflows leveraging Google Vertex AI and Gemini.
  • Enforce Data Governance: Implement "Policy as Code," machine-readable data contracts, data quality observability, and strict privacy controls (GDPR, CCPA, PRO ID management).

Why This Role Matters As the definitive source of truth for Ford Pro's commercial customers, PRO 360 is the engine behind Ford Pro's growth and efficiency goals. This LL6 leadership role ensures that our data is scalable, AI-ready, and highly governed-directly enabling Ford Pro's commercial success.
Responsibilities
Job Responsibilities
Data Engineering:
  • Lead Engineering Execution: Manage and mentor pods of data and software engineers to design, build, and deploy domain-driven data products on Google Cloud Platform (BigQuery, Dataflow, Pub/Sub, Cloud Composer/Airflow).
  • Platform Modernization: Drive critical infrastructure initiatives, including the migration to GCP 3.0, adoption of DataOps packages, and the decommissioning of legacy tech debt to ensure highly performant and cost-optimized cloud operations.
  • Ecosystem Integration: Architect real-time and batch data pipelines to ingest fragmented data and serve unified profiles to downstream operational systems, specifically Salesforce (Sales/Service Cloud), Marketing Cloud, and Ford Credit billing systems.
  • Engineering Craftsmanship: Enforce rigorous engineering standards, ensuring 100% of PRO 360 repositories maintain SonarQube "A" ratings for reliability, security, and maintainability, and championing CI/CD automation.
  • Technical Leadership: Act as the Directly Responsible Individual (DRI) for technical deployments, collaborating with Product Managers and Product Anchors to translate business OKRs into scalable technical backlogs.

AI Initiatives:
  • AI Data Readiness: Architect and optimize data models to support high-priority machine learning initiatives ensuring training and inference pipelines are highly available and scalable.
  • Agentic AI Enablement: Lead the data integration strategy for next-generation Agentic AI workflows (using Vertex AI, Gemini, and Agent Platforms), enabling autonomous lead generation, pipeline observability, and conversational AI dashboards.
  • Feature Engineering & ML Ops: Collaborate closely with Data Scientists and AI Engineers to transition ML models from proof-of-concept to production, ensuring seamless integration into the PRO 360 ecosystem.
  • Unstructured Data & RAG: Build pipelines to process and structure complex datasets (e.g., telematics, connected vehicle data, unstructured web leads) to feed into Large Language Models and Retrieval-Augmented Generation (RAG) frameworks.

Data Governance, Quality & Compliance:
  • Data Contracts & Observability: Implement machine-readable data contracts (Schema, SLOs, and DQ rules) for top PRO 360 data products. Oversee automated data quality monitoring and anomaly detection using platform observability tools.
  • Privacy & Compliance Controls: Architect and develop automated governance controls to map data assets to privacy classifications. Ensure strict adherence to GDPR and CCPA, including the automated management and suppression/deletion of consent data.
  • Policy as Code: Translate business and regulatory policies into enforceable, automated standards within the CI/CD pipeline, eliminating manual configuration errors.
  • Federated Data Sharing: Manage the governance of sharing PRO 360 data with internal pillars (FCSD, FPI, FMCC) and external partners (e.g., D&B, S&P) through secure, role-based, and attribute-based access controls.

Qualifications
Bachelor's / Masters's Degree in Computer Science, Data Engineering, Information Technology, or a related technical field
Required Qualifications
  • 10+ years of hands-on experience in Data Engineering, Data Architecture, or AI/ML Ops, with 3+ years in a technical leadership
  • Deep technical proficiency in Google Cloud Platform (GCP) data services, including BigQuery, Cloud Composer, Dataflow, Pub/Sub, and Dataplex.
  • Proven track record of operationalizing AI/ML models and supporting GenAI/Agentic AI infrastructure (Vertex AI, LLM orchestration).
  • Strong programming skills in Python and SQL, with proficiency in Terraform/IaC for infrastructure automation.
  • Experience building and scaling Customer Data Platforms (CDPs), Master Data Management (MDM) solutions, or complex B2B data ecosystems.
  • Familiarity with CRM integrations (specifically Salesforce) and enterprise billing/financial data flows.
  • Strong understanding of enterprise data governance, data contracts, and global privacy regulations (GDPR, CCPA).
  • Excellent communication skills with the ability to translate complex technical architectures to business stakeholders and executive leadership.

You may not check every box, or your experience may look a little different from what we've outlined, but if you think you can bring value to Ford Motor Company, we encourage you to apply!
As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe, or keep you close to home? Will your career be a deep dive into what you love, or a series of new teams and new skills? Will you be a leader, a changemaker, a technical expert, a culture builder...or all of the above? No matter what you choose, we offer a work life that works for you, including:
• Immediate medical, dental, vision and prescription drug coverage
• Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up child care and more
• Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, and more
• Vehicle discount program for employees and family members and management leases
• Tuition assistance
• Established and active employee resource groups
• Paid time off for individual and team community service
• A generous schedule of paid holidays, including the week between Christmas and New Year's Day
• Paid time off and the option to purchase additional vacation time.
This position is leadership level 6 and ranges from $132,800-$250,800.
Final determination of salary grade will be based on candidate's skills and experience, and base salary will be set within the applicable range according to job scope, responsibility and competitive market value.
For more information on salary and benefits, click here: https://fordcareers.co/LL6
Visa sponsorship is available for this position.
Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire.
We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status. In the United States, if you need a reasonable accommodation for the online application process due to a disability, please call 1-888-336-0660.
This position is hybrid. Candidates who are in commuting distance to a Ford hub location may be required to be onsite four or more days per week.
#LI-Hybrid
#LI-GR1
About Us
At Ford Motor Company, we believe freedom of movement drives human progress. With our incredible plans for the future of mobility, we have a wide variety of opportunities for you to accelerate your career and help us define tomorrow's transportation.
About the Team
We believe that freedom of movement drives human progress. Ford Information Technology (IT) is shaping the future of mobility by redefining the transportation landscape, enhancing the customer experience and improving people's lives. Join the Ford family as we change the way the world moves.
Ford logo

About Ford

Sourced by ZipRecruiter

At Ford Motor Company, we believe freedom of movement drives human progress. With our incredible plans for the future of mobility, we have a wide variety of opportunities for you to accelerate your career and help us define tomorrow's transportation.

Industry

Civil engineering construction

Company size

51 - 200 Employees

Headquarters location

Doral, FL, US

Year founded

1982

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