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Entry Level Ai Data Engineer Jobs in Novi, MI (NOW HIRING)

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 ...

Constellium

Industrial Data Engineer

Plymouth, MI · On-site

$66K - $90K/yr

The Industrial Data Engineer will lead engineering data activities related to change management ... Proficient in Teams, Copilot or simialr AI, SharePoint, Power apps & Power Automoate (preferred ...

New

Constellium

Industrial Data Engineer

Van Buren Township, MI · On-site

$65K - $88K/yr

The Industrial Data Engineer will lead engineering data activities related to change management ... Proficient in Teams, Copilot or simialr AI, SharePoint, Power apps & Power Automoate (preferred ...

New

FastTek

Data Engineering Engineer

Dearborn, MI

$105K - $126K/yr

Engineer 2 Exp: 4+ years Data Engineering work experience Education Required: * Bachelor's Degree ... AI & Hiring Disclosure We use AI tools to support parts of our hiring process, such as reviewing ...

Cadcam Ecom Inc

AI Software Engineer

Farmington Hills, MI · On-site

$70 - $90/hr

This is an entry-level position, ideal for a recent graduate or early-career engineer eager to grow ... Master's degree in Mathematics, Computer Science, Data Science, or a related field preferred. * 0-2 ...

Socket.dev

AI Software Engineer

Farmington Hills, MI · On-site

This is an entry-level position, ideal for a recent graduate or early-career engineer eager to grow ... Master's degree in Mathematics, Computer Science, Data Science, or a related field preferred. * 0 ...

New

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 ...

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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 ...

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All JobsAi Data Engineer JobsEntry Level Ai Data Engineer JobsEntry Level Ai Data Engineer Jobs in Novi, MI

Entry Level Ai Data Engineer information

See Novi, MI salary details

$41.8K

$121.7K

$166.5K

How much do entry level ai data engineer jobs pay per year?

As of Aug 19, 2026, the average yearly pay for entry level ai data engineer in Novi, MI is $121,699.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,400.00 and $129,000.00 per year, depending on experience, location, and employer.

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 Novi, MI?

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

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

The top searched job categories for Entry Level Ai Data Engineer jobs in Novi, MI are:

Entry Level Ai Data Engineer jobs near you
Infographic showing various Entry Level Ai Data Engineer job openings in Novi, MI as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 15% Part Time, and 4% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $121,699 per year, or $58.5 per hour.

Senior Robotics Data Engineer - Only W2

Saransh Inc

Warren, MI • On-site

$99K - $135K/yr

Contractor

Re-posted 12 days ago

Job description

Role: Senior Robotics Data Engineer
Location: Warren, MI (Onsite from Day 1)
Job Type: W2 Contract
 
Main Skills: 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 robotic datasets (vision, depth, tactile, force/torque).
· Build infrastructure for high-throughput data capture from real robots and simulation environments.
· Develop and deploy semi-supervised/self-supervised data labeling workflows to minimize manual annotation costs.
· Enable simulation-to-real (Sim2Real) data workflows, including domain randomization and synthetic data generation.
· Manage data versioning, metadata, and dataset governance to support model training, evaluation, and regression testing.
· Collaborate with Robotics Perception, Grasping AI, and Simulation teams to define data requirements and KPIs.
· Establish data quality metrics that correlate with perception and grasping performance.
 
Required Qualifications:
· Minimum 3 years of experience in data engineering, machine learning systems, robotics, or related fields.
· Master’s degree in Engineering, Computer Science, Data Science, or equivalent practical experience.
· Proven experience building production-grade data pipelines for ML/AI systems.
· Strong hands-on experience with Python-based data tooling.
· Experience working with large, complex, multimodal datasets.
 
Preferred Qualifications:
· Direct experience supporting robotics perception, grasping, or manipulation AI.
· Familiarity with robotics simulation platforms (e.g., Isaac Sim) and synthetic data generation.
· Experience with data labeling tools and annotation workflows at scale.
· Hands-on knowledge of TensorFlow and/or PyTorch from a data systems perspective.
· Experience with Microsoft data ecosystems (Power BI, Azure data services).