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Data Engineer Intern Jobs in Farmington, MI (NOW HIRING)

Flex-N-Gate

Engineering Intern

Troy, MI · On-site

$16 - $20.50/hr

... data collection and analysis, developing standardized work instructions, line balancing, process ... Work with respective engineer to advance his/her skill sets in preparation for schooling ...

KOSTAL

Systems Engineering Intern

Troy, MI

$16 - $20.50/hr

The intern will support systems-level engineering activities with an emphasis on hardware ... Participate in bench and vehicle testing activities, including test setup, instrumentation, data ...

KOSTAL Group

Systems Engineering Intern

Troy, MI · On-site

$16 - $20.50/hr

The intern will support systems-level engineering activities with an emphasis on hardware ... Participate in bench and vehicle testing activities, including test setup, instrumentation, data ...

Faurecia

Year-Round Engineering Intern

Auburn Hills, MI · On-site

$15.75 - $20.50/hr

Our Engineering Department is looking for an Engineering Intern for its Auburn Hills, MI location ... Support analysis of engineering data * Support product validation The ideal candidate will have/be:

Faurecia

Year-Round Engineering Intern

Auburn Hills, MI

$15.75 - $20.50/hr

Our Engineering Department is looking for an Engineering Intern for its Auburn Hills, MI location ... data Support product validation The ideal candidate will have/be: Working towards degree in ...

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Showing results 21-40

All JobsData Engineer Intern JobsData Engineer Intern Jobs in Farmington, MI

Data Engineer Intern information

See Farmington, MI salary details

$13

$25

$38

How much do data engineer intern jobs pay per hour?

As of Aug 23, 2026, the average hourly pay for data engineer intern in Farmington, MI is $25.01, according to ZipRecruiter salary data. Most workers in this role earn between $20.34 and $28.37 per hour, depending on experience, location, and employer.

What does a Data Engineer Intern do?

A Data Engineer Intern supports the design, development, and maintenance of data pipelines and databases within an organization. They assist in collecting, cleaning, and organizing raw data, ensuring it is accessible and usable for data analysts and scientists. Interns may work with various tools and programming languages such as SQL, Python, and cloud platforms to help manage large datasets. Their responsibilities often include troubleshooting data issues, optimizing data workflows, and learning best practices in data engineering. This role provides hands-on experience in data infrastructure and is an excellent starting point for a career in data engineering.

What are the key skills and qualifications needed to thrive as a Data Engineer Intern?

To thrive as a Data Engineer Intern, you typically need a solid understanding of programming languages like Python or Java, introductory experience with data structures, and familiarity with databases, often supported by coursework in computer science or related fields. Familiarity with tools such as SQL, cloud platforms (e.g., AWS or Azure), and data pipeline frameworks like Apache Spark or Airflow is common and highly valued. Strong problem-solving abilities, attention to detail, and effective communication help interns collaborate and learn quickly in team environments. These skills and traits are crucial for building, maintaining, and optimizing data systems that support reliable analysis and business insights.

What is the difference between Data Engineer Intern vs Data Analyst Intern?

AspectData Engineer InternData Analyst Intern
Required SkillsSQL, Python, ETL, data pipeline developmentExcel, SQL, data visualization tools
Work EnvironmentData engineering teams, cloud platformsBusiness intelligence teams, reporting tools
Industry UsageTech, finance, healthcareRetail, marketing, finance

Data Engineer Interns focus on building and maintaining data pipelines and infrastructure, requiring programming and database skills. Data Analyst Interns analyze data to generate insights, emphasizing visualization and reporting. Both roles are common in data-driven industries but serve different functions within organizations.

What are the most commonly searched types of Data Engineer jobs in Farmington, MI?

The most popular types of Data Engineer jobs in Farmington, MI are:

What job categories do people searching Data Engineer Intern jobs in Farmington, MI look for?

The top searched job categories for Data Engineer Intern jobs in Farmington, MI are:

What cities near Farmington, MI are hiring for Data Engineer Intern jobs?

Cities near Farmington, MI with the most Data Engineer Intern job openings:

Data Engineer Intern jobs near you
Infographic showing various Data Engineer Intern job openings in Farmington, MI as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $52,021 per year, or $25 per hour.

Autonomous Driving Intern

Isuzu Motors America LLC

Plymouth, MI • On-site

$20 - $34/hr

Other

Re-posted 20 days ago

Job description

Isuzu Technical Center of America is seeking an Autonomous Driving Intern to join its operations in Plymouth, MI.
The selected candidate will be placed with a preferred agency for employment.
Autonomous Driving Intern
Isuzu Technical Center of America (ITCA) is seeking a highly motivated Autonomous Driving Intern to support the Advanced Engineering team in the development, integration, and validation of Level 4 autonomous commercial vehicles and fleet operations. In this role, the intern will contribute to perception, planning, and/or control algorithm development, system integration, and the construction of simulation and end-to-end testing environments. The intern will work closely with Isuzu internal engineering teams and external partners to design, implement, integrate, and evaluate autonomous driving system components, with a focus on system-level interactions across perception, planning, control, and vehicle interfaces. Responsibilities include supporting algorithm development and integration, assisting with closed-loop simulation and on-road issue analysis, and helping validate system performance in simulation and vehicle testing environments, providing exposure to system thinking, algorithm iteration, and deployment workflows within a collaborative and fast-paced engineering environment.
PRINCIPAL DUTIES & RESPONSABILITIES
1. (Perception Oriented) Research, develop, and iterate visual perception algorithms for autonomous driving, including object detection, recognition, image segmentation, and occupancy grid (Occupancy). Develop fusion perception algorithms (e.g., occluded-object fusion, parking-space fusion) and continuously improve the visualization and interpretability of perception outputs. (Planning & Control Oriented) Design, develop, and optimize planning and control algorithms, including behavior planning, trajectory planning, and vehicle control, ensuring safety, comfort, and robustness.
2. Demonstrate strong system-level thinking, understanding the interactions and dependencies across perception, planning, control, localization, and vehicle interfaces.
3. Perform end-to-end system integration and testing, from simulation and SIL/HIL to on-road vehicle testing, to identify, diagnose, and resolve real-world driving issues.
4. Lead root-cause analysis of on-road failures, especially in complex or long-tail scenarios, and drive systematic fixes across multiple modules rather than local optimizations.
5. Support deployment of autonomous driving systems on real vehicles, continuously improving performance through closed-loop validation and iterative refinement.
6. Miscellaneous duties as assigned.
ORGANIZATIONAL RELATIONSHIPS
  • Reports to: Manager, Autonomous Driving

EDUCATION, EXPERIENCE & TRAINING
  • Master's degree or above in Robotics, Computer Science, Mathematics, Electronic Engineering, or related fields, with extensive experience in autonomous driving algorithm development across perception, planning, and control.
  • Expert-level candidates should demonstrate technical leadership and/or publications in top-tier academic conferences.
  • Candidates must have a GPA of 3.6 or higher on a 4.0 scale
  • Prior industry experience in robotics or autonomous driving is preferred

KNOWLEDGE
  • Deep understanding of machine learning, deep learning, motion planning, and control theory, with the ability to reason about system-wide trade-offs.
  • Hands-on experience with end-to-end autonomous driving systems, including simulation-based testing, SIL/HIL validation, and on-road debugging.
  • Familiarity with planning and control techniques such as state machines, search-based and optimization-based planning, MPC, PID, or related methods.
  • Exposure to middleware frameworks like ROS (Robot Operating System)

SKILLS & ABILITIES
  • Strong proficiency in C++ and Python, with solid foundations in data structures, algorithms, and software engineering best practices.
  • Experience with PyTorch, TensorFlow, and performance optimization using CUDA, TensorRT, or real-time system acceleration is a plus.
  • Strong problem-solving mindset, excellent cross-team communication skills, and the ability to independently drive end-to-end issue resolution from field data to production fixes.
  • Proficiency in robotics-related software: ROS, ROS2, NVIDIA Isaac Sim, PyTorch, OpenCV
  • Proficiency in version control management tool: GitHub
  • Valid driver license with good record

PHYSICAL STANDARDS
The employee must be able to access, enter, and retrieve data using a computer. This is primarily a sedentary position in a controlled office environment which requires only occasional reaching, stooping, and lifting of office files, reports or records, typically weighing 5 lbs. or less. Requires occasional light lifting (5-25 lbs) and on rare occasions, heavy lifting (60 lbs). Must be able on rare occasions to bend, crawl, climb, crouch, kneel and reach above shoulder level in the performance of job duties. Must be able to work in hot and cold weather extremes.

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