ZipRecruiter

Log In

2

Entry Level Ai Data Engineer Jobs in Michigan (NOW HIRING)

Hearst

Full-Stack Data Engineer

Troy, MI · On-site

Experience with Git and Azure DevOps * Experience with Agentic AI (LangGraph, MCP Servers, Agent Frameworks) * Experience with Data Handling (Pandas / NumPy, Apache Spark, Ray) Helpful Experience ...

Hearst Television

Full-Stack Data Engineer

Troy, MI · On-site

Experience with Git and Azure DevOps * Experience with Agentic AI (LangGraph, MCP Servers, Agent Frameworks) * Experience with Data Handling (Pandas / NumPy, Apache Spark, Ray) Helpful Experience ...

Hearst

Full-Stack Data Engineer

Troy, MI

Experience with Git and Azure DevOps * Experience with Agentic AI (LangGraph, MCP Servers, Agent Frameworks) * Experience with Data Handling (Pandas / NumPy, Apache Spark, Ray) Helpful Experience ...

Saransh Inc

Senior Robotics Data Engineer - Only W2

Warren, MI · On-site

$99K - $135K/yr

Senior Robotics Data Engineer (ML/AI systems, Python, TensorFlow and/or PyTorch, Power BI, Azure data services) Key Responsibilities: · Design and implement scalable data pipelines for large-scale ...

IBM

Support data engineering services and AI initiatives that improve business performance, operational ... entry-level positions. You'll receive a status update email for each application, so be sure to ...

Pwc

AI & GenAI Data Scientist - Manager

Detroit, MI · On-site

$99K - $232K/yr

In this role at PwC, you will apply data, algorithms, and software engineering to build and deploy ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Pwc

AI & GenAI Data Scientist - Manager

Grand Rapids, MI · On-site

$99K - $232K/yr

In this role at PwC, you will apply data, algorithms, and software engineering to build and deploy ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Steelcase, Inc.

Senior Data Engineer

Grand Rapids, MI · On-site

$97K - $121K/yr

At least 3 years of full-time experience in US as Data Engineer, Data Scientist, AI Engineer, Software engineer or similar position. * Hands-on experience with Databricks, Apache Spark, Azure, and ...

Steelcase Inc

Senior Data Engineer

Grand Rapids, MI · On-site

$97K - $121K/yr

At least 3 years of full-time experience in US as Data Engineer, Data Scientist, AI Engineer, Software engineer or similar position. * Hands-on experience with Databricks, Apache Spark, Azure, and ...

Stellantis

$14.25 - $19/hr

Pursuing a bachelor's degree or higher from an accredited college or university in AI, Computer Science, Software Engineering, Computer Engineering, Data Science, Informatics, Math/Statistics ...

previous pagenext page

Showing results 21-40

All JobsAi Data Engineer JobsEntry Level Ai Data Engineer JobsEntry Level Ai Data Engineer Jobs in Michigan

Entry Level Ai Data Engineer information

What is an entry level AI data engineer?

An Entry Level AI Data Engineer is a professional who helps build and maintain data pipelines and infrastructure to support artificial intelligence and machine learning applications. They typically work with large volumes of data, ensuring it is properly collected, cleaned, and organized for analysis. Their responsibilities may include working with databases, data processing tools, and cloud platforms, as well as collaborating with data scientists and software engineers to enable AI-driven solutions. This role is ideal for recent graduates or those new to the field, providing foundational experience in data engineering within the context of AI.

What are some common challenges faced by entry level AI data engineers in their first year on the job?

Entry level AI data engineers often encounter challenges such as learning to manage large datasets efficiently, understanding complex data pipelines, and adapting to rapidly evolving AI tools and frameworks. Collaborating with data scientists and senior engineers can be initially overwhelming, but it's a great opportunity to learn industry best practices. Balancing multiple tasks like data cleaning, preprocessing, and supporting model deployment while honing programming skills is typical. Proactively seeking feedback and asking questions is key to overcoming these hurdles and growing in the role.

What are the key skills and qualifications needed to thrive as an entry level AI data engineer, and why are they important?

To thrive as an Entry Level AI Data Engineer, you need proficiency in programming languages like Python or Java, a foundational understanding of data structures and algorithms, and a relevant degree in computer science or a related field. Familiarity with data processing frameworks (e.g., Hadoop, Spark), cloud platforms (e.g., AWS, Azure), and basic knowledge of machine learning libraries are typically expected. Strong analytical thinking, attention to detail, and effective teamwork set outstanding candidates apart. These skills and qualities are crucial for building reliable data pipelines, supporting AI models, and ensuring efficient collaboration within technical teams.

What is the difference between Entry Level Ai Data Engineer vs Data Analyst?

AspectEntry Level Ai Data EngineerData Analyst
Required SkillsBasic programming, data modeling, understanding of AI/ML conceptsData visualization, statistical analysis, SQL proficiency
CertificationsPython, SQL, entry-level AI/ML coursesExcel, Tableau, SQL certifications
Work EnvironmentTech companies, AI startups, data-driven teamsBusiness, marketing, finance sectors
Job FocusBuilding AI models, data pipelines, integrating AI solutionsInterpreting data, creating reports, supporting decision-making

While both roles involve working with data, Entry Level Ai Data Engineers focus on developing AI models and data infrastructure, whereas Data Analysts primarily analyze data to generate insights. The former requires some knowledge of AI/ML, while the latter emphasizes statistical and visualization skills.

How to get into entry level AI data engineering?

To enter an entry-level AI data engineering role, develop skills in programming languages like Python and SQL, understand data pipelines and databases, and gain experience with cloud platforms such as AWS or Azure. Completing relevant certifications or courses in data engineering and machine learning can also improve job prospects.

What are popular job titles related to Entry Level Ai Data Engineer jobs in Michigan?

For Entry Level Ai Data Engineer jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching Entry Level Ai Data Engineer jobs in Michigan look for?

The top searched job categories for Entry Level Ai Data Engineer jobs in Michigan are:

What cities in Michigan are hiring for Entry Level Ai Data Engineer jobs?

Cities in Michigan with the most Entry Level Ai Data Engineer job openings:

Entry Level Ai Data Engineer jobs near you
Infographic showing various Entry Level Ai Data Engineer job openings in Michigan as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, 4% Contract, and 1% Nights. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution.

Full-Stack Data Engineer

Hearst

Troy, MI • On-site

Full-time

Re-posted 23 days ago

Hearst rating

6.6

Company rating: 6.6 out of 10

Based on 28 frontline employees who took The Breakroom Quiz

57th of 78 rated media

Job description

FULL-STACK DATA ENGINEER at MOTOR INFORMATION SYSTEMS

MOTOR Information Systems, an operating group of Hearst, is actively seeking a Full-Stack Data Engineer. Ideally, a hands-on data engineer who possesses a strong passion for designing, optimizing, refactoring, and upgrading complex data solutions! MOTOR's primary product is Automotive Content, and we need someone who can help us support our Insights-based product suite.

We are looking for someone who wants to be part of our mission to transform the future. We have a rare opportunity for you to use your talent, passion, and expertise to help drive this massive change in how we build our user experience across our product lines, and how consumers experience the MOTOR Product Platform.

This position offers excellent career growth and promotional opportunities, stellar compensation, and the ability to work with the world's premier provider of aftermarket automotive data. Hearst/MOTOR Information Systems will be the best and last place you'll ever work!

Required Experience (Must Have)

  • Expert Python Developer

  • Strong SQL Developer

  • Strong AWS Experience (Lambda, Glue, State Machines, Fargate, Cloud Formation, RedShift)

  • Strong Experience with Semi-Structured Data (XML, CSV, JSON, Parquet)

  • Strong Automation Experience 

  • Experience with Databricks (Delta Lake, Notebooks, SQL Analytics) 

  • Experience with Kubernetes (Cluster Orchestration, Container Networking, Pod Management)

  • Experience with DevOps, CI/CD, Deployment Orchestration (Octopus Deploy)

  • Experience with Git and Azure DevOps

  • Experience with Agentic AI (LangGraph, MCP Servers, Agent Frameworks)

  • Experience with Data Handling (Pandas / NumPy, Apache Spark, Ray)

Helpful Experience (Nice to Have)

  • Experience with LLMs, Machine Learning & Deep Learning Libraries, AI Application Frameworks, Vector Databases

  • Experience with Automotive Data / Industry

  • Experience with Agile / Scrum

Primary Responsibilities

  • Analyze large, and complex, data sets
  • Design, develop and coordinate the generation of Data Pipelines
  • Work collaboratively with team to plan and solve complex problems
  • Design for, or optimize existing pipelines, for performance and cost

EEO EMPLOYER

What Hearst employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply