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Data Cleansing Jobs in Michigan (NOW HIRING)

CAYS Inc

Data Warehouse Architect 5

Lansing, MI · On-site

Execute data cleansing and standardization using both built-in and custom data rules * Develop and maintain disaster recovery and backup strategies for data systems * Lead efforts to migrate data ...

Stem Xpert

Data architect

Lansing, MI

$64.75 - $83.25/hr

Data Architect Experience Required 2 Database Design Experience Highly desired 5 Data Modelling/Data Cleansing/ETL experience Required 7 Full Lifecycle Development Required 8 Business Analysis ...

Stefanini Group

PLM Data Migration Engineer

Dearborn, MI · On-site

$105K - $126K/yr

Exposure to AI-driven data cleansing or automation pipelines **Listed salary ranges may vary based on experience, qualifications, and local market. Also, some positions may include bonuses or other ...

Prolim Global

Data Warehouse Architect

Lansing, MI · On-site

Execute data cleansing and standardization using both built-in and custom data rules * Develop and maintain disaster recovery and backup strategies for data systems * Lead efforts to migrate data ...

Stefanini Group

PLM Data Migration Engineer

Dearborn, MI · On-site

$105K - $126K/yr

Exposure to AI-driven data cleansing or automation pipelines **Listed salary ranges may vary based on experience, qualifications, and local market. Also, some positions may include bonuses or other ...

Della Infotech

Data Warehouse Architect

Lansing, MI · On-site

Execute data cleansing and standardization using both built-in and custom data rules * Develop and maintain disaster recovery and backup strategies for data systems * Lead efforts to migrate data ...

Stefanini Group

PLM Data Migration Engineer

Dearborn, MI · On-site

$105K - $126K/yr

Exposure to AI-driven data cleansing or automation pipelines **Listed salary ranges may vary based on experience, qualifications, and local market. Also, some positions may include bonuses or other ...

Prolim Global

Data Warehouse Architect

Lansing, MI · On-site

Execute data cleansing and standardization using both built-in and custom data rules * Develop and maintain disaster recovery and backup strategies for data systems * Lead efforts to migrate data ...

Redrouthu's Inc

Data Warehouse Architect

Lansing, MI · On-site

Execute data cleansing and standardization using both built-in and custom data rules * Develop and maintain disaster recovery and backup strategies for data systems * Lead efforts to migrate data ...

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All JobsData Cleansing JobsData Cleansing Jobs in Michigan

Data Cleansing information

See Michigan salary details

$29.6K

$72K

$118.5K

How much do data cleansing jobs pay per year?

As of Jul 26, 2026, the average yearly pay for data cleansing in Michigan is $72,029.00, according to ZipRecruiter salary data. Most workers in this role earn between $54,500.00 and $84,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Data Cleansing position, and why are they important?

To thrive in Data Cleansing, you need strong analytical skills, attention to detail, and familiarity with data management concepts—ideally supported by a degree in information technology, computer science, or a related field. Proficiency with tools such as Microsoft Excel, SQL, data profiling tools, and, in some cases, data integration platforms or data quality software is highly valuable. Excellent problem-solving abilities, strong communication, and the ability to work both independently and collaboratively are crucial soft skills. These competencies are essential for ensuring the accuracy, consistency, and usability of organizational data, which directly impacts decision-making and operational efficiency.

What is a Data Cleansing job?

A Data Cleansing job involves identifying and correcting inaccuracies, inconsistencies, and errors in datasets to ensure data quality and reliability. Professionals in this role clean data by removing duplicates, standardizing formats, handling missing values, and validating information. This process improves the accuracy of business insights, enhances decision-making, and optimizes data-driven operations. Data cleansing is commonly required in industries such as marketing, finance, healthcare, and e-commerce, where accurate data is essential for efficiency and compliance.

Is data cleansing hard?

Data cleansing as a job involves identifying and correcting errors, inconsistencies, and inaccuracies in datasets, which can be complex depending on data size and quality. It requires attention to detail, familiarity with tools like Excel or specialized software, and sometimes knowledge of programming languages such as Python or SQL. The difficulty varies based on the data's complexity and the specific requirements of the project.

What skills are needed for data cleansing?

Data cleansing requires strong attention to detail, proficiency in spreadsheet tools like Excel, and knowledge of data management software such as SQL or data cleaning tools. Analytical skills and the ability to identify and correct errors are essential for ensuring data accuracy and consistency.

What are some common challenges faced in a Data Cleansing role?

Data Cleansing professionals often encounter challenges such as handling large volumes of inconsistent or incomplete data, identifying duplicate entries, and ensuring accuracy while meeting tight deadlines. They may also need to work with data from multiple sources and formats, requiring adaptability and strong technical know-how. Collaboration with data analysts, IT teams, and business stakeholders is common to ensure the cleaned data meets organizational needs. Overcoming these challenges helps maintain data integrity and directly supports effective business operations.

What does a data cleanser do?

A data cleanser is responsible for reviewing and correcting data to ensure accuracy, consistency, and completeness. This process involves identifying and fixing errors, removing duplicates, and standardizing formats, often using tools like Excel or specialized data cleaning software. Data cleansing helps improve data quality for analysis and decision-making.

What is a data cleansing job?

A data cleansing job involves reviewing and correcting data to ensure accuracy, consistency, and completeness. It often requires skills in data management tools and attention to detail to identify and fix errors, duplicates, or inconsistencies in datasets.
What are popular job titles related to Data Cleansing jobs in Michigan? For Data Cleansing jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Data Cleansing jobs in Michigan look for? The top searched job categories for Data Cleansing jobs in Michigan are:
Data Cleansing jobs near you
Infographic showing various Data Cleansing job openings in Michigan as of July 2026, with employment types broken down into 6% Locum Tenens, 78% Full Time, 9% Part Time, 1% Temporary, 4% Contract, and 2% Summer. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $72,029 per year, or $34.6 per hour.
PLM Data Automation & Migration Engineer

PLM Data Automation & Migration Engineer

3B Staffing LLC

Dearborn, MI • On-site

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Required Skills & Qualifications
  • Experience: 4+ years of hands-on experience in PLM data engineering, data profiling, or data migration environments.
  • PLM Fundamentals: Strong foundational knowledge of Product Lifecycle Management (PLM) principles (e.g., Teamcenter, Windchill, Enovia, or similar) with a deep understanding of CAD structures, engineering changes, and BOM schemas.
  • Data Tooling: Proficient in Python and standard data analysis libraries (Pandas, NumPy, Scikit-learn) to write custom data cleansing and automated matching scripts.
  • Staging Databases: Hands-on experience querying and structuring data within staging layers or databases (such as MongoDB, PostgreSQL, or SQL Server).
  • Problem-Solving Background: Proven track record of handling complex data edge cases, resolving structure gaps, and migrating data from a legacy state to a modernized framework.
Preferred Skills (Nice to Have)
  • Prior experience with Teamcenter, 3DEXPERIENCE, or ENOVIA / XPDM data architectures.
  • Exposure to basic AI/ML automation or LLM-driven data parsing pipelines.

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