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New Grad Data Engineer Jobs in Utica, MI (NOW HIRING)

Ford Motor Company

Senior Data Engineer, CRM

Detroit, MI · On-site

$104K - $142K/yr

Will your career be a deep dive into what you love, or a series of new teams and new skills? Will ... Data Pipeline & Integration Engineering * Build & Optimize: Design and maintain robust data ...

Magna

Data Engineer, Smart Factory Solutions

Troy, MI

$95K/yr

Collaborate closely with stakeholders and other engineers to develop new and unique data-driven solutions using Big Data platforms, creative analytical methods, and data visualization techniques ...

Magna

Data Engineer, Smart Factory Solutions

Troy, MI · On-site

$95K/yr

Collaborate closely with stakeholders and other engineers to develop new and unique data-driven solutions using Big Data platforms, creative analytical methods, and data visualization techniques ...

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All JobsNew Grad Data Engineer JobsNew Grad Data Engineer Jobs in Utica, MI

New Grad Data Engineer information

See Utica, MI salary details

$40.6K

$118.3K

$161.9K

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

As of Sep 6, 2026, the average yearly pay for new grad data engineer in Utica, MI is $118,339.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,500.00 and $125,400.00 per year, depending on experience, location, and employer.

What is a new grad data engineer?

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 does a new grad data engineer do?

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 are the key skills and qualifications needed to thrive as a new grad data engineer?

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.

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. Skills in cloud platforms, data pipeline development, and tools like SQL, Python, and Apache Spark enhance job prospects in this field.

Can I get a new grad data engineer job with no experience?

Securing a new grad data engineer position without experience is possible if you have relevant skills in programming, databases, and data processing tools like SQL, Python, or Spark. Entry-level roles often focus on potential and foundational knowledge, and internships or certifications can strengthen your application.

What job categories do people searching New Grad Data Engineer jobs in Utica, MI look for?

The top searched job categories for New Grad Data Engineer jobs in Utica, MI are:

What cities near Utica, MI are hiring for New Grad Data Engineer jobs?

Cities near Utica, MI with the most New Grad Data Engineer job openings:

New Grad Data Engineer jobs near you
Infographic showing various New Grad Data Engineer job openings in Utica, MI as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, 2% Contract, and 1% Nights. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $118,339 per year, or $56.9 per hour.

Senior Data Engineer, CRM

Ford Motor Company

Detroit, MI • On-site

$104K - $142K/yr

Full-time

Medical, Dental, Life, PTO

Re-posted 12 days ago

Ford Motor Company rating

7.6

Company rating: 7.6 out of 10

Based on 527 frontline employees who took The Breakroom Quiz

11th of 45 rated automakers

Job description

As a Senior Data Engineer, you will be a key individual contributor responsible for building, maintaining, and governing the data architecture that powers Ford Pro's commercial ecosystem. You will translate architectural blueprints into scalable data solutions while serving as the primary steward of our data integrity. This role requires a hands-on engineer who excels at data modeling, ETL/ELT development, and the proactive management of data flows between Salesforce, MuleSoft, and our cloud environments.

You'll have...

  • Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field (or equivalent experience).
  • 5+ years of experience in data engineering, with a focus on enterprise-scale CRM or cloud platforms.
  • 5+ years of proven expertise in Data Modeling and maintaining complex Entity Relationship Diagrams (ERDs).
  • 3+ years strong proficiency in SQL (GCP/BigQuery) and at least one programming language (Python, Java, or Apex).
  • 3+ years experience with data visualization and observability.
  • Hands-on experience with Salesforce data structures (Objects, SOQL, SOSL) and Salesforce Data Cloud.
  • Experience building and monitoring RESTful API integrations and web services.
  • Experience with CI/CD pipelines and version control systems (GitHub, Copado, or similar).

Even better, you may have...

  • Experience with MuleSoft Anypoint Platform for data orchestration and API management.
  • Salesforce certifications (e.g., Salesforce Data Cloud Consultant, Platform Developer I).
  • Google Cloud Professional Data Engineer certification.
  • Experience navigating data governance and compliance within a large, global enterprise.
  • Strong analytical skills with the ability to translate complex business requirements into technical data specifications.
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, and prescription drug coverage
Flexible family care, parental leave, new parent ramp-up programs, subsidized back-up child care 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.
For a detailed look at our benefits, click here: Benefit Summary
 
 
This role is on-site in Dearborn, MI, you will be required to be in office 4x week.
 
*Visa Sponsorship is NOT provided for this specific role*
*Relocation assistance is NOT provided for this specific role*
 
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 committed to a culturally diverse workforce. 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.
 
#LI-OnSite
#LI-DS2 

Data Modeling & Ecosystem Stewardship

  • Manage the Data Model: Act as the primary maintainer of the Data Model Entity Relationship Diagram (ERD), ensuring it accurately reflects the evolving state of Salesforce and integrated systems.
  • Field Governance: Review and validate new data field requests to ensure alignment with existing structures, preventing redundancy and maintaining schema health.
  • Data Flow Mapping: Track and document end-to-end data flows across the ecosystem (Salesforce, MuleSoft, GCP) to provide a clear "source of truth" for data lineage.
  • Data Definitions: Ensure a deep understanding of data assets by creating and maintaining comprehensive data dictionaries and metadata documentation.
  • Alignment: Partner with the Principal Architect to ensure all data elements comply with Ford Pro's Common Engineering Policies (CEP) and global data standards.

Data Pipeline & Integration Engineering

  • Build & Optimize: Design and maintain robust data pipelines to integrate Salesforce CRM with internal and external systems using MuleSoft and GCP.
  • Automated Integration: Implement automated ETL/ELT processes to support Salesforce Data Cloud and other analytics platforms.
  • Performance: Write and optimize complex SQL/SOQL queries and scripts to support high-volume data transformation and validation.

DevOps, Quality & Technical Excellence

  • CI/CD Management: Work with the DevSecOps team to oversee the end-to-end release lifecycle for data products using DevOps tools like Copado and GitHub.
  • Validation & Testing: Conduct rigorous performance and load testing on data workflows to ensure high availability and scalability for fleet operations.
  • Security & Compliance: Implement data masking, encryption, and security protocols in alignment with Ford's global security and privacy standards.
  • Community Leadership: Contribute to the Salesforce Community of Practice (CoP) by sharing reusable engineering patterns and advocating for "clicks-not-code" data solutions where appropriate.

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