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No Experience Data Engineer Jobs in Inkster, MI (NOW HIRING)

IntraEdge

AI Data Engineer

Detroit, MI · On-site

$113K - $136K/yr

We are seeking an experienced and highly skilled AI Data Engineer to join our team. The successful candidate will be responsible for designing, building, and maintaining the data infrastructure and ...

Stellantis

ICT Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

Data engineering is the practice of making the appropriate data available to various data consumers ... The ideal candidate combines strong analytical skills with practical experience building scalable ...

Freudenberg Group

Data Engineer

Plymouth, MI · On-site

$109K - $130K/yr

Degree in Computer Science, Data Engineering, or related field (or equivalent experience ... Proven experience building and running production data pipelines and data products. * Strong Python ...

Stellantis

ICT Data Engineer

Auburn Hills, MI

$108K - $130K/yr

Data engineering is the practice of making the appropriate data available to various data consumers ... The ideal candidate combines strong analytical skills with practical experience building scalable ...

Freudenberg

Data Engineer

Plymouth, MI

$109K - $130K/yr

Degree in Computer Science, Data Engineering, or related field (or equivalent experience ... Proven experience building and running production data pipelines and data products. * Strong Python ...

Pwc

Data Engineer - Senior Associate

Detroit, MI · On-site

$77K - $202K/yr

In data engineering at PwC, you will focus on designing and building data infrastructure and ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

General Motors

Data Engineer - Resource Demand

Warren, MI · On-site +1

$107K - $129K/yr

Python or similar programming languages, advanced SQL, relational and analytical data platforms ... Experience building reliable data structures for large datasets, analytics, reporting, decision ...

General Motors

Data Engineer - Resource Demand

Warren, MI · On-site

$107K - $129K/yr

Python or similar programming languages, advanced SQL, relational and analytical data platforms ... Experience building reliable data structures for large datasets, analytics, reporting, decision ...

Stem Xpert

Data Engineer

Plymouth, MI · On-site

$109K - $130K/yr

Work as SQL Server d/base admin & set up SQL security Audit & write prgms for Big Data solutions. * Conduct user acceptance testing & integration testing. Master's deg in Comp Sci, Engg or related ...

Hearst Newspapers

Full-Stack Data Engineer

Troy, MI · On-site

FULL-STACK DATA ENGINEER at MOTOR INFORMATION SYSTEMS MOTOR Information Systems, an operating group ... Required Experience (Must Have) * Expert Python Developer * Strong SQL Developer * Strong AWS ...

Hearst

Full-Stack Data Engineer

Troy, MI

FULL-STACK DATA ENGINEER at MOTOR INFORMATION SYSTEMS MOTOR Information Systems, an operating group ... Required Experience (Must Have) * Expert Python Developer * Strong SQL Developer * Strong AWS ...

Hearst

Full-Stack Data Engineer

Troy, MI · On-site

FULL-STACK DATA ENGINEER at MOTOR INFORMATION SYSTEMS MOTOR Information Systems, an operating group ... Required Experience (Must Have) * Expert Python Developer * Strong SQL Developer * Strong AWS ...

Hearst

Full-Stack Data Engineer

Troy, MI · On-site

FULL-STACK DATA ENGINEER at MOTOR INFORMATION SYSTEMS MOTOR Information Systems, an operating group ... Required Experience (Must Have) * Expert Python Developer * Strong SQL Developer * Strong AWS ...

Hearst Television

Full-Stack Data Engineer

Troy, MI · On-site

FULL-STACK DATA ENGINEER at MOTOR INFORMATION SYSTEMS MOTOR Information Systems, an operating group ... Required Experience (Must Have) * Expert Python Developer * Strong SQL Developer * Strong AWS ...

Hearst

Full-Stack Data Engineer

Troy, MI · On-site

FULL-STACK DATA ENGINEER at MOTOR INFORMATION SYSTEMS MOTOR Information Systems, an operating group ... Required Experience (Must Have) * Expert Python Developer * Strong SQL Developer * Strong AWS ...

Hearst Newspapers

Full-Stack Data Engineer

Troy, MI · On-site

FULL-STACK DATA ENGINEER at MOTOR INFORMATION SYSTEMS MOTOR Information Systems, an operating group ... Required Experience (Must Have) * Expert Python Developer * Strong SQL Developer * Strong AWS ...

Hearst Newspapers

Full-Stack Data Engineer

Troy, MI

FULL-STACK DATA ENGINEER at MOTOR INFORMATION SYSTEMS MOTOR Information Systems, an operating group ... Required Experience (Must Have) * Expert Python Developer * Strong SQL Developer * Strong AWS ...

Hearst

Full-Stack Data Engineer

Troy, MI · On-site

FULL-STACK DATA ENGINEER at MOTOR INFORMATION SYSTEMS MOTOR Information Systems, an operating group ... Required Experience (Must Have) * Expert Python Developer * Strong SQL Developer * Strong AWS ...

Hearst Newspapers

Full-Stack Data Engineer

Troy, MI · On-site

FULL-STACK DATA ENGINEER at MOTOR INFORMATION SYSTEMS MOTOR Information Systems, an operating group ... Required Experience (Must Have) * Expert Python Developer * Strong SQL Developer * Strong AWS ...

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All JobsData Engineer JobsNo Experience Data Engineer JobsNo Experience Data Engineer Jobs in Inkster, MI

No Experience Data Engineer information

See Inkster, MI salary details

$41.6K

$121.4K

$166.1K

How much do no experience data engineer jobs pay per year?

As of Aug 11, 2026, the average yearly pay for no experience data engineer in Inkster, MI is $121,403.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,200.00 and $128,700.00 per year, depending on experience, location, and employer.

What is the difference between No Experience Data Engineer vs Data Engineer?

AspectNo Experience Data EngineerData Engineer
Required CredentialsBasic understanding of data concepts, entry-level certificationsDegree in Computer Science or related field, advanced certifications often preferred
Work EnvironmentInternships, entry-level roles, training programsFull-time professional roles in tech or data teams
Employer & Industry UsageStartups, companies hiring entry-level data rolesTech companies, finance, healthcare, and large enterprises
Search & Comparison IntentYesYes

The main difference between a No Experience Data Engineer and a Data Engineer lies in experience and qualifications. The No Experience Data Engineer is typically an entry-level role suited for those just starting, often requiring basic data knowledge and certifications. In contrast, a Data Engineer usually has relevant experience, a degree, and advanced skills, working in more complex environments. Both roles are essential in data-driven organizations, but they differ significantly in responsibilities and expectations.

What is a no experience data engineer?

No Experience Data Engineers are individuals who are entering the field of data engineering without prior professional experience in the role. They may have relevant educational backgrounds or have completed certifications and personal projects, but are seeking entry-level positions to gain practical, on-the-job experience. These roles typically involve learning to build and maintain data pipelines, manage databases, and work with big data tools under the guidance of more experienced engineers. Employers look for foundational skills in programming, SQL, and an understanding of data systems, even if the candidate has not previously worked as a data engineer.

How can entry-level data engineers quickly gain practical experience and contribute to their team?

As an entry-level Data Engineer, you can quickly gain practical experience by volunteering for small-scale data projects, assisting with data pipeline maintenance, and exploring internal documentation. Collaborating closely with senior engineers and asking for feedback accelerates learning and helps you understand best practices. Participating in code reviews and pair programming sessions also enhances your technical and teamwork skills, making it easier to contribute meaningfully to your team’s objectives.

What skills and qualifications are needed to thrive as a no experience data engineer?

To thrive as a No Experience Data Engineer, you need a strong understanding of data structures, SQL, and basic programming languages such as Python or Java, often backed by a degree in computer science or a related field. Familiarity with tools like SQL databases, ETL pipelines, and cloud platforms (e.g., AWS, Google Cloud) is highly beneficial, and obtaining entry-level certifications can be helpful. Strong problem-solving abilities, attention to detail, and a willingness to learn are critical soft skills for those starting out in this field. These skills and qualities enable newcomers to efficiently manage, process, and analyze data, laying a solid foundation for growth in data engineering roles.
What job categories do people searching No Experience Data Engineer jobs in Inkster, MI look for? The top searched job categories for No Experience Data Engineer jobs in Inkster, MI are:
What cities near Inkster, MI are hiring for No Experience Data Engineer jobs? Cities near Inkster, MI with the most No Experience Data Engineer job openings:
No Experience Data Engineer jobs near you

AI Data Engineer

IntraEdge

Detroit, MI • On-site

$113K - $136K/yr

Full-time

Re-posted 2 days ago

Job description

Job Description: 

We are seeking an experienced and highly skilled AI Data Engineer to join our team. The successful candidate will be responsible for designing, building, and maintaining the data infrastructure and pipelines that power our AI, machine learning (ML), agentic AI, and generative AI (GenAI) initiatives. This role requires strong expertise in data engineering best practices and a deep understanding of the unique data needs of AI models. 
Key responsibilities
  • Build AI-ready data pipelines: Design, construct, and optimize scalable Extract, Transform, Load (ETL) and Extract, Load, Transform (ELT) pipelines specifically for AI and ML models.
  • Architect data solutions: Develop and manage data architectures, including data lakes, data warehouses, and vector databases, to support various AI workloads.
  • Ensure data quality and governance: Implement data validation, security, and governance policies to ensure the integrity, accessibility, and compliance of data used in AI models.
  • Support AI model lifecycle: Collaborate with data scientists and ML engineers to prepare, integrate, and manage large-scale datasets for model training and deployment.
  • Manage real-time data: Develop streaming data pipelines using technologies like Apache Kafka to support real-time AI applications and analytics.
  • Optimize cloud infrastructure: Utilize AWS cloud computing platforms to build, deploy, and scale AI data solutions efficiently.
  • Deploy AI models: Automate the training and deployment of AI/ML models into production via APIs and microservices.
  • Monitor and troubleshoot: Implement data observability tools to monitor pipeline health, identify data drift, and quickly resolve any data quality issues that may impact model performance.
  • AI-assisted development: Use AI assistants like Copilot in Microsoft Fabric notebooks to generate, explain, and fix code, accelerate data analysis, and streamline data transformation tasks.
Required qualifications
  • Education: A Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related technical field is typically required.
  • Experience: Proven experience in a data engineering or similar role, with specific experience supporting AI and ML projects.
  • Programming: Fluency in programming languages such as Python and SQL, and familiarity with others like Java or Scala.
  • Frameworks: Hands-on experience with ML frameworks like TensorFlow, PyTorch, and Scikit-learn, as well as LLM-specific tools like LangChain or LlamaIndex.
  • Big data: Experience with distributed data processing frameworks such as Apache Spark and Hadoop.
  • Cloud platforms: Proficiency with at least one major cloud provider (AWS, Azure, or GCP) and its AI data-related services.
  • Databases: Expertise in both relational (SQL) and NoSQL databases, including vector databases for GenAI applications.
  • DevOps and MLOps: Experience with CI/CD, Docker, and ML lifecycle management tools like MLflow is highly valued.

Job Description: 

We are seeking an experienced and highly skilled AI Data Engineer to join our team. The successful candidate will be responsible for designing, building, and maintaining the data infrastructure and pipelines that power our AI, machine learning (ML), agentic AI, and generative AI (GenAI) initiatives. This role requires strong expertise in data engineering best practices and a deep understanding of the unique data needs of AI models. 
Key responsibilities
  • Build AI-ready data pipelines: Design, construct, and optimize scalable Extract, Transform, Load (ETL) and Extract, Load, Transform (ELT) pipelines specifically for AI and ML models.
  • Architect data solutions: Develop and manage data architectures, including data lakes, data warehouses, and vector databases, to support various AI workloads.
  • Ensure data quality and governance: Implement data validation, security, and governance policies to ensure the integrity, accessibility, and compliance of data used in AI models.
  • Support AI model lifecycle: Collaborate with data scientists and ML engineers to prepare, integrate, and manage large-scale datasets for model training and deployment.
  • Manage real-time data: Develop streaming data pipelines using technologies like Apache Kafka to support real-time AI applications and analytics.
  • Optimize cloud infrastructure: Utilize AWS cloud computing platforms to build, deploy, and scale AI data solutions efficiently.
  • Deploy AI models: Automate the training and deployment of AI/ML models into production via APIs and microservices.
  • Monitor and troubleshoot: Implement data observability tools to monitor pipeline health, identify data drift, and quickly resolve any data quality issues that may impact model performance.
  • AI-assisted development: Use AI assistants like Copilot in Microsoft Fabric notebooks to generate, explain, and fix code, accelerate data analysis, and streamline data transformation tasks.
Required qualifications
  • Education: A Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related technical field is typically required.
  • Experience: Proven experience in a data engineering or similar role, with specific experience supporting AI and ML projects.
  • Programming: Fluency in programming languages such as Python and SQL, and familiarity with others like Java or Scala.
  • Frameworks: Hands-on experience with ML frameworks like TensorFlow, PyTorch, and Scikit-learn, as well as LLM-specific tools like LangChain or LlamaIndex.
  • Big data: Experience with distributed data processing frameworks such as Apache Spark and Hadoop.
  • Cloud platforms: Proficiency with at least one major cloud provider (AWS, Azure, or GCP) and its AI data-related services.
  • Databases: Expertise in both relational (SQL) and NoSQL databases, including vector databases for GenAI applications.
  • DevOps and MLOps: Experience with CI/CD, Docker, and ML lifecycle management tools like MLflow is highly valued. 
Education:Employment Type: FULL_TIME
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About IntraEdge

Sourced by ZipRecruiter

At heart, we are a technology, products and services organization In our soul, it’s the people who make us what we are — the professionals we train and connect to next-level opportunities and the experts who create innovative solutions and value for our national and international partners. It’s true that innovative technology can provide a major boost to your business, but you also need the right talent pushing it forward. This critical combination is what we offer all of our partners: cutting edge tech solutions and the expertise to bring it to life.

Industry

It services

Company size

1,001 - 5,000 Employees

Headquarters location

Chandler, AZ, US

Year founded

2002

Social media

Instagram

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