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Freelance Financial Data Engineer Jobs in Michigan

Stellantis

Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

Cost Methods, Tools & Data Solutions (CMTD) is seeking a Data Engineer , preferably with a finance or cost engineering background and hands-on exposure to data engineering to drive delivery of modern ...

Stellantis

Data Engineer

Auburn Hills, MI

$108K - $130K/yr

Finance or costing background, with understanding of cost drivers, financial models, or cost engineering processes. * Data engineering exposure: pipelines, transformations, data modeling concepts ...

Stefanini

Data Engineer

Dearborn, MI · On-site

$105K - $126K/yr

Stefanini is looking for a Data Engineer, Dearborn, MI (Onsite) For quick apply, please reach out ... markets, including financial services, manufacturing, telecommunications, chemical services ...

Corning

$104K - $125K/yr

As a Data Engineer, you will build, maintain, and support data pipelines and cloud-based data ... We are committed to supporting your health, financial, career development, and life goals as you ...

Spectrum Health

Data Engineer

Grand Rapids, MI · Hybrid

$110K - $132K/yr

The Data Engineer mid-level is a data pipeline builder contributing to the development and ... Comprehensive benefits package to meet your financial, health, and work/life balance goals. Learn ...

Continental Services

Data Engineer

Sterling Heights, MI · On-site

$106K - $128K/yr

The Data Engineer is a hands-on technical contributor who plays a foundational role in building the ... , POS, HRIS, and finance platforms into a centralized lake or data warehouse. * Develop and ...

FastTek

Data Engineer

Dearborn, MI

$105K - $126K/yr

Data Engineer #1061533 * Employees in this job function are responsible for designing, building ... FastTek Global is financially strong, privately held company that is 100% consultant and client ...

FastTek

Data Engineer

Dearborn, MI

$105K - $126K/yr

Data Engineer #1060557 Position Description: Employees in this job function are responsible for ... FastTek Global is financially strong, privately held company that is 100% consultant and client ...

HTC Global Services

Data Engineer

Farmington Hills, MI · On-site

$112K - $135K/yr

Data Engineer (Azure, Microsoft Dynamics 365 & Power BI) Overview / Summary The Data Engineer is ... Work directly with business stakeholders across Finance, Operations, Supply Chain, and other ...

HTC Global Services

Data Engineer

Farmington Hills, MI · On-site

$112K - $135K/yr

Data Engineer (Azure, Microsoft Dynamics 365 & Power BI) Overview / Summary The Data Engineer is ... Work directly with business stakeholders across Finance, Operations, Supply Chain, and other ...

FastTek

Data Engineer

Dearborn, MI

$105K - $126K/yr

Data Engineer #1055558 * Employees in this job function are responsible for designing, building ... FastTek Global is financially strong, privately held company that is 100% consultant and client ...

FastTek

Data Engineer

Dearborn, MI

$105K - $126K/yr

Data Engineer #1054720 * Employees in this job function are responsible for designing, building ... FastTek Global is financially strong, privately held company that is 100% consultant and client ...

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All JobsFinancial Data Engineer JobsFreelance Financial Data Engineer JobsFreelance Financial Data Engineer Jobs in Michigan

Freelance Financial Data Engineer information

What is the difference between Freelance Financial Data Engineer vs Freelance Data Analyst?

AspectFreelance Financial Data EngineerFreelance Data Analyst
CredentialsFinancial certifications (e.g., CFA, FRM), data engineering skillsData analysis certifications (e.g., CAP, Microsoft Data Analyst)
Work EnvironmentFinancial firms, investment companies, fintech startupsBusiness, marketing, research firms, or corporate departments
Employer & Industry UsageFinancial industry, asset management, bankingVarious industries including retail, healthcare, and finance
Search & Comparison IntentUnderstanding technical financial data engineering rolesAnalyzing financial data for insights and reporting

The main difference is that Freelance Financial Data Engineers focus on building and maintaining financial data infrastructure, while Freelance Data Analysts interpret and analyze data to support decision-making. Both roles require data skills, but the Financial Data Engineer emphasizes data pipeline development within financial contexts.

What are the most commonly searched types of Financial Data Engineer jobs in Michigan? The most popular types of Financial Data Engineer jobs in Michigan are:
What are popular job titles related to Freelance Financial Data Engineer jobs in Michigan? For Freelance Financial Data Engineer jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Freelance Financial Data Engineer jobs in Michigan look for? The top searched job categories for Freelance Financial Data Engineer jobs in Michigan are:
What cities in Michigan are hiring for Freelance Financial Data Engineer jobs? Cities in Michigan with the most Freelance Financial Data Engineer job openings:
Freelance Financial Data Engineer jobs near you
Infographic showing various Freelance Financial Data Engineer job openings in Michigan as of July 2026, with employment types broken down into 1% As Needed, 80% Full Time, 10% Part Time, 8% Contract, and 1% Nights. Highlights an 80% Physical, 4% Hybrid, and 16% Remote job distribution.

Data Engineer

Stellantis

Auburn Hills, MI • On-site

$108K - $130K/yr

Full-time

Re-posted yesterday

Stellantis rating

7.5

Company rating: 7.5 out of 10

Based on 130 frontline employees who took The Breakroom Quiz

14th of 44 rated automakers

Job description

Cost Methods, Tools & Data Solutions (CMTD) is seeking a Data Engineer, preferably with a finance or cost engineering background and hands-on exposure to data engineering to drive delivery of modern analytics, automation and AI-enabled solutions. This role will lead cross-functional initiatives spanning cloud data platforms (Snowflake/AWS/Azure), Databricks, Palantir Foundry, and the Microsoft Power Platform (Power Apps, Power Automate, Power BI, Dataverse). The ideal candidate combines strong project management discipline with technical fluency and an understanding of automotive cost engineering, finance and purchasing data.
You will manage end-to-end project execution, while working closely with business and ICT partners to deliver scalable, secure, and high-impact data products. Experience with agentic AI chatbot development and Generative AI / Microsoft Copilot is strongly preferred.
Basic Qualifications:
  • Bachelor's degree in Computer Science (or a related technical field.).
  • 3+ years of professional experience technical project delivery, data engineering, or analytics platform implementation.
  • Demonstrated project management skills: planning, execution, stakeholder management, risk management, and delivery governance.
  • Finance or costing background, with understanding of cost drivers, financial models, or cost engineering processes.
  • Data engineering exposure: pipelines, transformations, data modeling concepts, and working with data engineering teams.
  • Experience with one or more cloud database environments such as Snowflake, AWS, or Azure.
  • Hands-on development and experience with one or more of the following:
  • Snowflake, AWS, or Azure
  • Databricks
  • Palantir Foundry
  • SQL
  • Microsoft Power Platform (Power Apps, Power Automate, Power BI, Dataverse)

Preferred Qualifications:
  • Automotive industry experience, particularly in cost engineering, manufacturing, or product development.
  • Experience with agentic AI chatbot development or internal AI assistants.
  • Knowledge of Generative AI and familiarity with Microsoft Copilot capabilities and adoption strategies.
  • Experience with enterprise governance for analytics platforms.
  • Familiarity with Agile delivery (Scrum/Kanban), DevOps concepts, and structured release management.

Skills & Competencies:
  • Strong communication skills: ability to explain technical details to non-technical stakeholders and align decisions quickly.
  • Highly organized with strong attention to detail; effective at managing ambiguity and changing priorities.
  • Ability to influence across teams without direct authority; strong facilitation and conflict resolution skills.
  • Analytical mindset with comfort interpreting data issues (reconciliation, validation, root cause analysis).
  • Customer-focused approach: understands end-user workflow pain points and drives practical, adoptable solutions.
  • Passion for digital transformation, automation, and AI-driven solutions.

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