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

Corning

... model developer - Clear written communication skills and attention to detail - Experience in AI, data, digital, privacy, security, or technology governance - Familiarity with AI/ML concepts or ...

Infosys

Cloud Data Engineer-Snowflake/AWS

Detroit, MI · On-site

$113K - $136K/yr

We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of ... Overview The Infosys Data and Analytics (DNA) unit is at the forefront of transforming data into ...

Redolent, Inc.

US_East | Data Engineer_L2

Southfield, MI · On-site

$105K - $127K/yr

Possible 3 Month CTH | No Fees | Do Not Re-Post| Confidential R2D2 10866032, 10866033 Role Embedded Systems Engineer (C++) Work location SouthField Michigan Rates as follows: $ 60 hr/AI Background ...

Tror AI for everyone

Java AI Engineer

Farmington Hills, MI · On-site

$51 - $69.75/hr

JOB Title: Java AI Engineer Location: Farmington Hills, MI (Hybrid) Hiring Type: Contract Note ... Experience integrating APIs and handling structured/unstructured data * Familiarity with Git and ...

Corning

At Corning, we are looking for an AI Engineer to help build, implement, and support AI-enabled ... Data Science, or a related technical discipline. - 1-3 years of relevant experience in software ...

Corning

At Corning, we are looking for an AI Engineer to help build, implement, and support AI-enabled ... Data Science, or a related technical discipline. - 1-3 years of relevant experience in software ...

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Entry Level Controls Engineer

Detroit, MI · On-site

$80K - $82K/yr

*Must be okay with travel Entry Level Position: College Graduate - 2 years experience This is a ... to AI to User Interface tools. * Provide our clients with real-time data, and actionable ...

Tech Tammina LLC

AI Engineer

Okemos, MI · On-site

Job Title: AI Engineer / Applied AI Developer Okemos, MI (Hybrid): Minimum of 3 days per week ... Experience integrating APIs and handling structured/unstructured data * Familiarity with Git and ...

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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.

Data Engineer/Google Cloud Platform/Bigquery/Dearborn, MI Local

Motion Recruitment Partners, LLC

Dearborn, MI • On-site

$105K - $126K/yr

Other

Medical, Dental, Vision, PTO

Re-posted 5 days ago

Job description

Our client is seeking an Analytics Migration Engineer to join their team on a full-time basis. In this role, you will lead the migration and modernization of analytical code, data pipelines, and statistical models from legacy on-premise environments to Bitquery in modern cloud platforms (Google Cloud Platform), ensuring analytical continuity as outputs, data, and AI/ML models are validated across environments. *This role is hybrid 3 days a week in Dearborn, MI*
You will work across data engineering, analytics, and data science teams to maintain business-critical reporting and modeling while enabling a scalable, cloud-based analytics ecosystem. This role blends migration execution, validation, and optimization, giving you the chance to help shape a modern, future-ready analytics environment.
Required Skills & Experience
  • Bachelor's Degree in a quantitative or technical field (Computer Science, Data Science, Statistics, Mathematics, Engineering, or related)
  • Experience with analytical programming languages such as SAS 9.4, SAS Viya, Python, and SQL
  • Experience with cloud data platforms (Google Cloud Platform, AWS, or Azure) or supporting on-prem to cloud migrations
  • Experience with Bigquery
  • Experience validating data outputs, dashboards, and statistical or machine learning models
  • Strong understanding of data structures, ETL processes, and analytical workflows
  • Experience troubleshooting data discrepancies and performing root cause analysis
  • Ability to work across cross-functional teams, including data engineering, analytics, and business stakeholders
  • Strong attention to detail and commitment to data accuracy and quality
Desired Skills & Experience
  • Experience migrating SAS-based analytical environments to cloud platforms
  • Experience validating and deploying machine learning models in cloud environments (e.g., Vertex AI)
  • Familiarity with automated testing frameworks and data pipeline orchestration tools (e.g., Airflow, Cloud Composer)
  • Experience optimizing analytical code and queries for performance and scalability in the cloud
  • Experience supporting large-scale analytics or CRM data ecosystems
  • Strong documentation and process design skills to support repeatable migration frameworks
  • Ability to translate technical findings into clear insights for non-technical stakeholders
  • Experience in large enterprise or highly regulated data environments
What You Will Be Doing
  • Migrate legacy analytical code (SAS, SQL, Python) and data pipelines from on-prem environments to Google Cloud Platform, refactoring workflows for modern cloud architecture and best practices
  • Validate and reconcile outputs between legacy and cloud environments to ensure consistency and accuracy across data, reporting, and models
  • Perform regression testing and quality assurance across datasets, dashboards, and statistical/ML models to confirm functional parity post-migration
  • Support migration and re-platforming of AI/ML and statistical models, troubleshooting discrepancies in data, code logic, and performance
  • Partner with data engineering, analytics, and business teams to maintain continuity of business-critical reporting during migration
  • Build automated testing, monitoring, and validation processes to ensure long-term data and model integrity
  • Document migration processes, code changes, and best practices, and contribute to ongoing optimization of analytics workflows in the cloud

The Offer
  • Bonus eligible
You will receive the following benefits:
  • Medical, Dental, and Vision Insurance
  • Vacation Time
  • Stock Options

Applicants must be currently authorized to work in the US on a full-time basis now and in the future.

Apply