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Internship Financial Data Engineer Jobs in Michigan

Continental Services

Data Engineer

Sterling Heights, MI · On-site

$107K - $128K/yr

Data Engineer Department: Information Technology 500003 Employment Type: Full Time Location ... , POS, HRIS, and finance platforms into a centralized lake or data warehouse. * Develop and ...

CNS Healthcare

Data Engineer

Detroit, MI · On-site

$108K - $129K/yr

The Data Engineer will design, build, and maintain secure, scalable data pipelines, integrations ... Collaborate with clinical, billing, quality, finance, and compliance stakeholders to translate ...

CNS Healthcare

Data Engineer

Detroit, MI

$108K - $129K/yr

The Data Engineer will design, build, and maintain secure, scalable data pipelines, integrations ... Collaborate with clinical, billing, quality, finance, and compliance stakeholders to translate ...

Continental Services

Data Engineer

Sterling Heights, MI

$97K - $146K/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 ...

Continental Services

Data Engineer

Sterling Heights, MI

$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 #1052627 * 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 #1051264 * Data Pipeline Architect & Builder: Spearhead the design, development, and ... FastTek Global is financially strong, privately held company that is 100% consultant and client ...

FastTek

Data Engineer

Dearborn, MI

$105K - $126K/yr

Data Engineer #1051303 * Data Pipeline Architect & Builder: Spearhead the design, development, and ... FastTek Global is financially strong, privately held company that is 100% consultant and client ...

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 ...

Saanvi Technologies

Data Engineer 3

Dearborn, MI · On-site

$105K - $126K/yr

Data Engineer Dearborn, MI Hybrid 4days onsite and 1 day remote W2 Position Description: Ford Motor ... Finance systems. While Ford utilizes WorkForce Software (WFS), we are looking for a highly ...

Contact Government Services, LLC

Data Engineer

Detroit, MI · On-site

$113K - $136K/yr

Data Engineer Employment Type: Full-Time, Mid-level Department: Business Intelligence CGS is ... financial resources. We combine cutting-edge technology with world-class personnel to deliver ...

Contact Government Services, LLC

Data Engineer

Detroit, MI · On-site

$113K - $136K/yr

Data Engineer Employment Type: Full-Time, Mid-level Department: Business Intelligence CGS is ... financial resources. We combine cutting-edge technology with world-class personnel to deliver ...

Spectrum Health

Data Engineer Senior

Saint Joseph, MI · Hybrid

$108K - $129K/yr

Job Summary Data Engineers work collaboratively with architects, business intelligence developers ... Comprehensive benefits package to meet your financial, health, and work/life balance goals. Learn ...

New

Spectrum Health

Data Engineer Senior

Southfield, MI · Hybrid

$105K - $126K/yr

Job Summary Data Engineers work collaboratively with architects, business intelligence developers ... Comprehensive benefits package to meet your financial, health, and work/life balance goals. Learn ...

New

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All JobsInternship Financial Data Engineer JobsInternship Financial Data Engineer Jobs in Michigan

Internship Financial Data Engineer information

What are the big 4 internships?

The Big 4 internships typically refer to internship programs at Deloitte, PricewaterhouseCoopers (PwC), Ernst & Young (EY), and KPMG. These firms offer opportunities in areas such as audit, consulting, tax, and advisory, providing valuable experience for aspiring financial data engineers and other finance or technology roles.

Is $20 an hour good for an internship?

For a Financial Data Engineer internship, $20 an hour is generally considered competitive, especially for entry-level or early-stage roles. Internships often pay between minimum wage and $25 per hour, depending on location, company size, and required skills such as data analysis and programming. Factors like workload, learning opportunities, and industry standards should also be considered when evaluating pay.

What are the key skills and qualifications needed to thrive as an Internship Financial Data Engineer, and why are they important?

To thrive as an Internship Financial Data Engineer, you need a solid grasp of statistics, programming (especially Python or R), and foundational knowledge of finance or economics, typically supported by relevant coursework or a related degree. Familiarity with data visualization tools (like Tableau), SQL databases, and cloud platforms such as AWS or Azure is often expected. Strong analytical thinking, attention to detail, and effective communication skills help you interpret complex data and collaborate with teams. These abilities are crucial for transforming raw financial data into actionable insights and supporting data-driven decision-making in financial organizations.

How to get a data engineer internship?

To secure a data engineer internship, candidates should have a strong foundation in programming languages like Python or Java, experience with data processing tools such as SQL and Apache Spark, and familiarity with cloud platforms like AWS or Azure. Building a portfolio of projects and obtaining relevant certifications can also improve chances, along with applying through company career portals or internship programs early in the academic year.

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

AspectInternship Financial Data EngineerFinancial Data Analyst
Required CredentialsCurrently pursuing or recently completed a degree in finance, data science, or related fields; some programming knowledgeBachelor's degree in finance, economics, or related fields; proficiency in data analysis tools
Work EnvironmentInternship setting, often in finance or tech companies, focusing on data pipeline developmentOffice environment, analyzing financial data, creating reports, and supporting decision-making
Employer & Industry UsageUsed by financial institutions, tech firms, and investment companies for data engineering tasksCommon in banks, investment firms, and corporate finance departments for data analysis

The main difference is that an Internship Financial Data Engineer focuses on building and maintaining data infrastructure during an internship, often involving programming and data pipeline work. In contrast, a Financial Data Analyst primarily interprets and reports on financial data to support business decisions. Both roles require a strong understanding of finance and data tools but differ in their core responsibilities and work environment.

What engineering jobs pay $500,000?

Senior financial data engineers or quantitative engineers in finance and technology sectors can earn $500,000 or more annually, especially with bonuses and stock options. These roles typically require advanced skills in data modeling, programming, and financial analysis, often at large firms or hedge funds.

What does an Internship Financial Data Engineer do?

An Internship Financial Data Engineer assists in building and maintaining data systems that support financial analysis and decision-making. They work with large datasets, help develop data pipelines, and ensure data quality and integrity for financial applications. Interns may use programming languages like Python or SQL, and tools such as databases and cloud platforms, to process and analyze financial data. Their work supports the broader data engineering team and helps improve the efficiency of financial data management within the organization.

What types of projects and responsibilities can an Internship Financial Data Engineer expect during their internship?

As an Internship Financial Data Engineer, you can expect to work on projects involving data extraction, transformation, and loading (ETL) processes related to financial datasets. You may assist in developing pipelines to clean and aggregate data from multiple sources, contribute to building data models, and support the analytics team with data validation. Regular collaboration with data scientists, senior engineers, and financial analysts is common, providing valuable exposure to both technical and business aspects of finance. This hands-on experience not only strengthens your programming and data skills but also helps you understand how data drives decision-making in financial organizations.
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 Internship Financial Data Engineer jobs in Michigan? For Internship Financial Data Engineer jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Internship Financial Data Engineer jobs in Michigan look for? The top searched job categories for Internship Financial Data Engineer jobs in Michigan are:
Internship Financial Data Engineer jobs near you
Infographic showing various Internship Financial Data Engineer job openings in Michigan as of June 2026, with employment types broken down into 56% Full Time, 28% Part Time, 3% Temporary, and 13% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution.
Data Engineer

Data Engineer

Continental Services

Sterling Heights, MI • On-site

$107K - $128K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 14 days ago

Job description

Data Engineer
Department: Information Technology 500003
Employment Type: Full Time
Location: Sterling Heights
Reporting To: Matt Knutson
Description
A Taste of Who We Are:
Backed by a tireless commitment to high quality, innovative culinary offerings and unparalleled client and guest services, Continental consistently ranks among the top contract dining and refreshment providers in the nation according to Food Management Magazine, the industry's source for food service news and trends.
Our Mission
Delight our guest. Every meal. Every day.
Our Core Values
Exceptional - We recruit and retain phenomenal people who consistently go the extra mile to deliver results that lead the industry.
Hospitality - We are tirelessly committed to providing the highest quality food, beverages, and service by anticipating our guests' needs so they can count on memorable experiences every time.
Collaboration - We prioritize working together with a shared vision and effective & transparent communication, we unite as one team to achieve remarkable experiences.
Responsibility - we hold ourselves accountable to be there for our team and clients, to deliver what we say we will, when we say we will and check in on progress along the way.
Innovation - We are forward-thinkers always looking for new processes, technologies, and techniques to increase efficiencies and scalability to improve our services.
The Experience You'll Create:
The Data Engineer is a hands-on technical contributor who plays a foundational role in building the data infrastructure that powers Continental's analytics, reporting, and AI initiatives. This person will work at the intersection of our business systems and our growing data platform-designing and maintaining the pipelines, models, and processes that bring together data from across the organization into a reliable, unified foundation. We're looking for someone who is technically strong, intellectually curious, and energized by working on problems that have a real and visible impact on how the business operates and grows.
  • Design, build, and maintain scalable cloud-native data pipelines-including ETL/ELT, event-driven, and serverless patterns using Azure Functions and related services-that ingest, transform, and load data from Continental's diverse source systems including ERP, POS, HRIS, and finance platforms into a centralized lake or data warehouse.
  • Develop and maintain data models within Microsoft Fabric and Azure that support analytics, business intelligence, and emerging AI use cases, ensuring data is structured for both performance and usability.
  • Integrate data from disparate systems across Continental's business units into a unified enterprise data model, resolving inconsistencies and establishing a single source of truth for key business metrics.
  • Implement and enforce data quality, validation, and monitoring practices that ensure downstream consumers-analysts, dashboards, and AI models-can trust the data they are working with.
  • Collaborate closely with the Business Analyst and IT AI & Data Manager to understand reporting and analytics requirements, translating them into efficient, well-documented data solutions.
  • Design and implement AI-augmented data engineering solutions-including AI agents, automated data quality processes, and intelligent pipeline components-that drive efficiency across Continental's data platform. This is not a support role for AI; we're looking for someone who can actively build and deploy AI-driven capabilities within the data engineering workflow.
  • Build and optimize semantic models and datasets that power PowerBI dashboards and reports, working with analysts to ensure visualizations are backed by performant, accurate data.
  • Contribute to data governance efforts by maintaining data dictionaries, pipeline documentation, and lineage tracking so the team can understand, trust, and build on the work being done.
  • Monitor pipeline health, troubleshoot data failures, and proactively address issues before they impact reporting or downstream business processes.
  • Stay current on developments in cloud data engineering, AI tooling, and the Microsoft data ecosystem, bringing new ideas and approaches to the team as the platform continues to mature.
  • Support M&A and new business onboarding by connecting new source systems into existing pipelines and data models with minimal disruption to existing operations.

Ingredients for Thriving:
  • Bachelor's degree in Computer Science, Information Systems, Data Engineering, Mathematics, or a related technical field.
  • 3-5 years of experience in data engineering, with a portfolio of work that includes building and maintaining production-grade data pipelines and data models.
  • Hands-on experience with Microsoft Azure data services and Microsoft Fabric-including Data Factory, Azure Functions, Synapse, and Lakehouse-as the primary stack. Experience with AWS data services is also relevant and viewed favorably, particularly where cloud architecture patterns are transferable.
  • Strong SQL skills with experience writing complex queries, stored procedures, and transformations for large, multi-source datasets.
  • Strong proficiency in Python for data engineering work-including pipeline development, data transformation, automation scripting, and cloud function development. Familiarity with other modern scripting languages or frameworks used in cloud-native data environments is a plus.
  • Experience building semantic models or datasets that serve as the foundation for Power BI reporting, with an understanding of how modeling decisions affect performance and usability.
  • Demonstrated hands-on experience applying AI within a data engineering context-implementing AI agents, integrating LLM-based processes into pipelines, or building AI-driven automation. Extensive experience is not required, but practical, working knowledge is essential; we want someone who has built something real in this space, not just read about it.
  • A solid understanding of data quality, data governance, and data lineage principles, and experience applying them in a real production environment.
  • Experience integrating data from multiple enterprise systems (ERP, POS, HRIS, CRM, or similar), with an ability to navigate source system complexity and build reliable connections between them.
  • Strong communication skills with the ability to work alongside business analysts and non-technical stakeholders to understand requirements and explain technical decisions clearly.
  • A curiosity-driven, growth-oriented mindset-someone who keeps up with the evolving data and AI landscape, takes ownership of their work end-to-end, and is always looking to improve how things are built.

Location(s) & Logistics:
  • Prolonged periods of sitting at a desk and working on a computer.
  • The role will be hybrid with locations in Sterling Heights and Troy.
  • Occasional Travel is required for this role to visit customer sites and warehouses

Savor the Benefits:
We offer a range of benefits for eligibles team members, including:
  • Health Coverage - Medical, Dental and Vision
  • Voluntary Life/AD&D, Short-Term and Long-Term Disability, Critical Illness
  • 401(k)
  • Paid Time Off
  • Paid Parental Leave
  • Wellness Programs
  • Additional Perks

To see a summary of current benefits, please visithttps://www.continentalserves.com/work-at-continental/#benefits

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