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No Experience Data Engineer Jobs in Michigan (NOW HIRING)

Data Engineer

Okemos, MI · On-site

$103K - $124K/yr

The ideal candidate should have a minimum of 3 years of experience with excellent analytical ... The Data Engineering Team also does general extraction, transformation, and load (ETL) work, along ...

Data Engineer

Okemos, MI · On-site

$103K - $124K/yr

Data Engineer Location: Okemos, MI (Hybrid/ Onsite) Duration: Long term Rate: Market F2F is must ... Experience creating and maintaining ETL processes that use Salesforce as a destination. * Drive and ...

$104K - $125K/yr

AWS experience is preferred. - Strong communication and collaboration skills, with the ability to ... Data Engineering, technical subject-matter expertise, AI/ML, or future technical leadership ...

$104K - $125K/yr

AWS experience is strongly preferred. - Experience leading technical projects or independently owning complex Data Engineering initiatives.- Strong communication and collaboration skills, with the ...

Data Engineer

Whitehall, MI · On-site

$108K - $130K/yr

Must have experience in basic SQL querying skills * Demonstrated ability to transform data with a programming language * Strong working knowledge of Microsoft Office skills (Word, Excel, PowerPoint ...

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 ...

Data Engineer

Whitehall, MI

$108K - $130K/yr

Must have experience in basic SQL querying skills * Demonstrated ability to transform data with a programming language * Strong working knowledge of Microsoft Office skills (Word, Excel, PowerPoint ...

Data Engineer

Whitehall, MI

$108K - $130K/yr

Must have experience in basic SQL querying skills * Demonstrated ability to transform data with a programming language * Strong working knowledge of Microsoft Office skills (Word, Excel, PowerPoint ...

Data Engineer

Whitehall, MI · On-site

$108K - $130K/yr

Must have experience in basic SQL querying skills * Demonstrated ability to transform data with a programming language * Strong working knowledge of Microsoft Office skills (Word, Excel, PowerPoint ...

Data Engineer

Whitehall, MI · On-site

$108K - $130K/yr

Must have experience in basic SQL querying skills * Demonstrated ability to transform data with a programming language * Strong working knowledge of Microsoft Office skills (Word, Excel, PowerPoint ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

New

Data Engineer

Plymouth, MI

$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 ...

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Showing results 1-20

No Experience Data Engineer information

See Michigan salary details

$38.8K

$113.1K

$154.7K

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 Michigan is $113,060.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,800.00 and $119,800.00 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 are the most commonly searched types of Data Engineer jobs in Michigan? The most popular types of Data Engineer jobs in Michigan are:
What job categories do people searching No Experience Data Engineer jobs in Michigan look for? The top searched job categories for No Experience Data Engineer jobs in Michigan are:
What cities in Michigan are hiring for No Experience Data Engineer jobs? Cities in Michigan with the most No Experience Data Engineer job openings:
Infographic showing various No Experience Data Engineer job openings in Michigan as of August 2026, with employment types broken down into 81% Full Time, 13% Part Time, and 6% Contract. Highlights an 64% In-person, and 36% Remote job distribution, with an average salary of $113,060 per year, or $54.4 per hour.

Data Engineer

Kanak Elite Services Inc

Okemos, MI • On-site

$103K - $124K/yr

Contractor

Re-posted 14 days ago


Job description

Hello There,

Wish you a Happy Monday,

My name is Yashmita, and I am a Technical Recruiter at Kanak IT Services LLC. I am reaching out to you regarding the following job opportunity. If you are interested, kindly reply to this email yashmita@kanakits.com with your updated resume.  

JOB TITLE: DATA ENGINEER

LOCATION: HYBRID IN OKEMOS, MI OFFICE 2 DAYS A WEEK + 3 DAYS REMOTE (ONLY LOCALS NEEDED)

INTERVIEW: FACE TO FACE

EXPECTED JOINING TIME (2 WEEKS)

NEED PHOTO ID / LINKEDIN LINK

Description: 

We are looking for a Data Engineer to join our Data Engineering Team. The ideal candidate should have a minimum of 3 years of experience with excellent analytical reasoning and critical thinking skills. The candidate will be a part of a team that creates data pipelines that use change data capture (CDC) mechanisms to move data from on-premises to cloud-based destinations and then transform data to make it available to Customers to consume. The Data Engineering Team also does general extraction, transformation, and load (ETL) work, along with traditional Enterprise Data Warehousing (EDW) work. 

Responsibilities: 

  • Participates in the analysis and development of technical specifications, programming, and testing of Data Engineering components. 
  • Participates in creating data pipelines and ETL workflows to ensure that design and enterprise programming standards and guidelines are followed.  Assist with updating the enterprise standards when gaps are identified. 
  • Follows technology best practices and standards and escalates any issues as deemed appropriate. Follows architecture and design best practices (as guided by the Lead Data Engineer, BI Architect, and Architectural team. 
  • Responsible for assisting in configuration and scripting to implement fully automated data pipelines, stored procedures, and functions, and ETL workflows that allow data to flow from on-premises data sources to cloud-based data platforms (e.g. Snowflake) and application platforms (e.g. Salesforce), where data may be consumed by end customers. 
  • Follows standard change control and configuration management practices. 
  • Participates in 24-hour on-call rotation in support of the platform. 

Required Skills/Qualifications:

  • Database Platforms: Snowflake, Oracle, and SQL Server 
  • OS Platforms: RedHat Enterprise Linux and Windows Server 
  • Languages and Tools: PL/SQL, Python, T-SQL, StreamSets, Snowflake Cloud Data Platform, and Informatica PowerCenter, Informatica IICS or IDMC. 
  • Experience creating and maintaining ETL processes that use Salesforce as a destination. 
  • Drive and desire to automate repeatable processes. 
  • Excellent interpersonal skills and communication, as well as the willingness to collaborate with teams across the organization. 

Desired Skills/Qualifications: 

  • Experience creating and maintaining solutions within Snowflake that involve internal file stages, procedures and functions, tasks, and dynamic tables.
  • Experience creating and working with near-real-time data pipelines between relational sources and destinations. 
  • Experience working with StreamSets Data Collector or similar data streaming/pipelining tools (Fivetran, Striim, Airbyte etc.).