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New Grad Data Engineer Jobs in Michigan (NOW HIRING)

Data Engineer

Sterling Heights, MI · On-site

$107K - $128K/yr

Data Engineer Department: Information Technology 500003 Employment Type: Full Time Location ... Innovation - We are forward-thinkers always looking for new processes, technologies, and techniques ...

Innovation - We are forward-thinkers always looking for new processes, technologies, and techniques ... The Data Engineer is a hands-on technical contributor who plays a foundational role in building the ...

Data Engineer

Sterling Heights, MI · On-site

$106K - $128K/yr

Innovation - We are forward-thinkers always looking for new processes, technologies, and techniques to increase efficiencies and scalability to improve our services. The Data Engineer is a hands-on ...

Data Engineer

Grand Rapids, MI · On-site

$110K - $132K/yr

Job Title Azure Data Engineer Candidates needed with strong Azure data engineering experience ... Come build new things with us and advance your career. At HTC Global, you'll collaborate with ...

Data Engineer

Grand Rapids, MI

$106K - $127K/yr

Job Title Azure Data Engineer Candidates needed with strong Azure data engineering experience ... Come build new things with us and advance your career. At HTC Global, you ll collaborate with ...

Data Engineer

Dearborn, MI · On-site

$105K - $127K/yr

The Data Engineer role resides within the Ford's Electric Vehicle organization. In this role, you ... Will your career be a deep dive into what you love, or a series of new teams and new skills? Will ...

Data Engineer

Dearborn, MI · Hybrid

$115K - $192K/yr

Will your career be a deep dive into what you love, or a series of new teams and new skills? Will ... Master's Degree in Computer Science, Data Engineering, or a related quantitative field. * 5+ years ...

Data Engineer

Warren, MI · On-site

$45 - $50/hr

The Data Engineer handles leading and delivering new and innovative data driven solutions that are elegant and professional. You will work closely with our forward-thinking Data Scientists, BI ...

Data Engineer

Warren, MI · On-site

$45 - $50/hr

The Data Engineer handles leading and delivering new and innovative data driven solutions that are elegant and professional. You will work closely with our forward-thinking Data Scientists, BI ...

Data Engineer

Wyoming, MI · On-site +1

$103K - $124K/yr

Data Engineer (Microsoft Stack) Join our collaborative Data and AI team, where every member ... data technologies, develop new skills in modern data platforms, and be recognized for their ...

Data Engineer

Dearborn, MI

$105K - $126K/yr

Data Engineer #1055558 * Employees in this job function are responsible for designing, building ... Willingness to learn new technologies Education Required: * Bachelor's Degree Education Preferred:

Data Engineer

Dearborn, MI · On-site

$115K - $192K/yr

Uniquely, this role bridges the gap between traditional data engineering and DevOps, as you will ... Will your career be a deep dive into what you love, or a series of new teams and new skills? Will ...

Sr. Data Engineer

Grand Rapids, MI · On-site

$110K - $132K/yr

Overview The Sr. Data Engineer will serve as a key technical contributor responsible for the design ... Quality control mindset: checks data pipelines, new data sets, and reports for errors related to ...

Data Engineer (GCP)

Dearborn, MI · On-site

$105K - $126K/yr

GCP Data Engineer Overview We are seeking a hands-on GCP Data Engineer to support the design ... Come build new things with us and advance your career. At HTC Global, you'll collaborate with ...

Data Engineer

Detroit, MI

$113K - $135K/yr

... new environments -- and building the infrastructure that makes world-scale RL training possible ... Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in ...

Data Engineer

Lansing, MI · On-site

$116K - $139K/yr

... new environments -- and building the infrastructure that makes world-scale RL training possible ... Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in ...

Data Engineer

Flint, MI

$111K - $133K/yr

... new environments -- and building the infrastructure that makes world-scale RL training possible ... Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in ...

Data Engineer

Mount Pleasant, MI

$105K - $126K/yr

... new environments -- and building the infrastructure that makes world-scale RL training possible ... Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in ...

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Showing results 1-20

New Grad Data Engineer information

See Michigan salary details

$38.8K

$113.1K

$154.7K

How much do new grad data engineer jobs pay per year?

As of Jun 21, 2026, the average yearly pay for new grad data engineer in Michigan is $113,060.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,800.00 and $119,800.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the New Grad Data Engineer position, and why are they important?

To thrive as a New Grad Data Engineer, you need a strong grasp of programming languages like Python or SQL, a background in computer science or a related field, and an understanding of data modeling and database concepts. Familiarity with data engineering tools such as ETL pipelines, cloud platforms like AWS or Azure, and certifications in these areas can be beneficial. Strong problem-solving skills, effective communication, and a willingness to learn are valuable soft skills for this position. These abilities ensure you can effectively handle complex data tasks, collaborate with technical teams, and adapt to evolving technologies in a fast-paced environment.

What does the typical day look like for a New Grad Data Engineer?

As a New Grad Data Engineer, your day often involves writing and optimizing code for data pipelines, cleaning and transforming data, and troubleshooting any issues that arise. You’ll work closely with senior data engineers, data scientists, and sometimes business stakeholders to understand data requirements and deliver reliable solutions. Many entry-level roles emphasize learning and professional growth, so you can expect regular mentorship, code reviews, and opportunities to work on small components of larger projects. Over time, you’ll take on more complex responsibilities and contribute to the overall data infrastructure of your organization.

What is a New Grad Data Engineer job?

A New Grad Data Engineer is an entry-level role for recent graduates who focus on designing, building, and maintaining data pipelines and infrastructure. They work with databases, ETL (Extract, Transform, Load) processes, and big data technologies to ensure efficient data flow and storage. Typically, they collaborate with data scientists, analysts, and software engineers to support data-driven decision-making. This role requires knowledge of SQL, Python, and cloud platforms, along with problem-solving and analytical skills. It is an excellent opportunity to gain hands-on experience in data engineering while learning industry best practices.

What are popular job titles related to New Grad Data Engineer jobs in Michigan? For New Grad Data Engineer jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching New Grad Data Engineer jobs in Michigan look for? The top searched job categories for New Grad Data Engineer jobs in Michigan are:
What cities in Michigan are hiring for New Grad Data Engineer jobs? Cities in Michigan with the most New Grad Data Engineer job openings:
Infographic showing various New Grad Data Engineer job openings in Michigan as of June 2026, with employment types broken down into 83% Full Time, and 17% Contract. Highlights an 93% In-person, 5% Hybrid, and 2% Remote job distribution, with an average salary of $113,060 per year, or $54.4 per hour.
Data Engineer

Data Engineer

Continental Services

Sterling Heights, MI • On-site

$107K - $128K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 13 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