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Data Cleansing Jobs in Michigan (NOW HIRING)

Data architect

Lansing, MI · On-site

$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 ...

Execute data cleansing, normalization, enrichment, and segmentation activities. * Manage contact, company, and deal imports, exports, and updates. * Monitor and maintain CRM data quality standards ...

Data Architect

Ann Arbor, MI · On-site

$60 - $80/hr

... ● Data cleansing, validation, and reconciliation. ● Documentation of schema mappings, architecture decisions, and operational procedures. ● Working with network engineering teams and ...

Data/Financial Analyst

Saginaw, MI · On-site

$70 - $100/hr

Develop and maintain automated processes for data cleansing, validation, and visualization to ensure accuracy and efficiency in financial reporting. * Perform in‑depth analysis of financial ...

Data/Financial Analyst

Troy, MI · On-site

$70 - $110/hr

Develop and maintain automated processes for data cleansing, validation, and visualization to ensure accuracy and efficiency in financial reporting. * Perform in‑depth analysis of financial ...

Develop and maintain automated processes for data cleansing, validation, and visualization to ensure accuracy and efficiency in financial reporting. * Perform in-depth analysis of financial ...

Develop and maintain automated processes for data cleansing, validation, and visualization to ensure accuracy and efficiency in financial reporting. * Perform in-depth analysis of financial ...

Develop and maintain automated processes for data cleansing, validation, and visualization to ensure accuracy and efficiency in financial reporting. * Perform in-depth analysis of financial ...

Develop and maintain automated processes for data cleansing, validation, and visualization to ensure accuracy and efficiency in financial reporting. * Perform in-depth analysis of financial ...

RevOps Analyst

Farmington Hills, MI · On-site

$65 - $85/hr

Execute data cleansing, normalization, enrichment, and segmentation activities. * Manage contact, company, and deal imports, exports, and updates. * Monitor and maintain CRM data quality standards ...

Must have experience developing processes to extract and manipulate data to support data migration and data cleansing of application data. 10 Data Management Must have experience in performing data ...

... data cleansing and profiling, Data governance and database administration Qualifications Soft Skill Requirements Strong analytical and problem solving skills Strong teamwork skills within I.S. and ...

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Data Cleansing information

See Michigan salary details

$29.6K

$72K

$118.5K

How much do data cleansing jobs pay per year?

As of Sep 6, 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 is data cleansing?

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.

What are the key skills and qualifications needed to thrive in data cleansing, 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 are some common challenges faced in data cleansing?

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.

Is data cleansing hard?

Data cleansing as a job involves identifying and correcting errors, inconsistencies, and inaccuracies in datasets, which can require attention to detail and familiarity with tools like Excel or specialized software. The difficulty depends on the complexity and size of the data, but it generally requires patience and analytical skills.

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:

Infographic showing various Data Cleansing job openings in Michigan as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 19% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $72,029 per year, or $34.6 per hour.

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.