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Data Extraction Jobs in Michigan (NOW HIRING)

HireITPeople

Data Warehouse Architect 3

Lansing, MI · On-site

The ETL Developer is responsible for designing, developing, and maintaining high-quality data integration solutions using IBM DataStage and related technologies. This role supports both on-premises ...

Zenfreed LLC

Data Warehouse Architect

Lansing, MI · On-site

The ETL Developer is responsible for designing, developing, and maintaining high-quality data integration solutions using IBM DataStage and related technologies. This role supports both on-premise ...

Zenfreed, LLC

Data Warehouse Architect

Lansing, MI · On-site

$66 - $82/hr

The ETL Developer is responsible for designing, developing, and maintaining high-quality data integration solutions using IBM DataStage and related technologies. This role supports both on-premise ...

FastTek

Data Warehouse Architect

Lansing, MI · On-site

Data Warehouse Architect #1060333 The ETL Developer is responsible for designing, developing, and maintaining high-quality data integration solutions using IBM DataStage and related technologies.

Contact Government Services, LLC

Data Engineer

Detroit, MI

$113K - $136K/yr

... of data extraction and processing. -Support continuous process automation for data ingest. -Achieve technical excellence by advocating for and adhering to lean-agile engineering principles and ...

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All JobsData Extraction JobsData Extraction Jobs in Michigan

Data Extraction information

See Michigan salary details

$10

$24

$61

How much do data extraction jobs pay per hour?

As of Jul 26, 2026, the average hourly pay for data extraction in Michigan is $24.75, according to ZipRecruiter salary data. Most workers in this role earn between $13.30 and $27.44 per hour, depending on experience, location, and employer.

What are the typical daily responsibilities for someone working in Data Extraction?

Professionals in Data Extraction typically spend their days gathering data from a variety of sources—such as databases, websites, or documents—using specialized tools or scripts. They are responsible for cleaning, formatting, and validating this data to ensure accuracy and consistency before delivering it to analysts or other stakeholders. Collaborating with data analysts, IT teams, and business units is common to clarify data requirements and resolve any discrepancies. Most roles involve a mix of independent technical work and teamwork, with some positions requiring regular reporting or documentation of data extraction processes.

How to become a data extractor?

To become a data extractor, you typically need strong skills in data management, familiarity with data extraction tools like SQL, Python, or specialized software, and attention to detail. Many roles require a high school diploma or higher, and some may prefer certifications in data analysis or related fields. Gaining experience through internships or entry-level positions can also help build relevant skills.

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

To excel in Data Extraction, candidates should have strong analytical skills, attention to detail, and a background in data management or computer science. Experience with extraction tools and programming languages such as SQL, Python, R, or ETL platforms, as well as familiarity with data governance standards, is often required. Strong organizational, problem-solving, and communication skills help professionals handle complex datasets and collaborate effectively across teams. These competencies ensure accurate, efficient data retrieval and support informed business decisions.

What is a Data Extraction job?

A Data Extraction job involves collecting and retrieving data from various sources, such as databases, documents, websites, and APIs. This data is then transformed, cleaned, and structured for analysis or storage. Professionals in this role use tools like SQL, Python, or web scraping technologies to automate the process. Data extraction is essential for businesses to gain insights, make data-driven decisions, and streamline operations.

What is a data extraction job?

A data extraction job involves retrieving specific information from various sources such as websites, databases, or documents. It often requires skills in using tools like web scrapers or data management software and may involve cleaning and organizing data for analysis or reporting.

What does a data extractor do?

A data extractor is responsible for collecting and retrieving data from various sources such as websites, databases, or documents. They often use tools like web scraping software or data management systems and need strong attention to detail and technical skills. The role involves transforming unstructured data into organized formats for analysis or storage.
What are the most commonly searched types of Data Extraction jobs in Michigan? The most popular types of Data Extraction jobs in Michigan are:
What are popular job titles related to Data Extraction jobs in Michigan? For Data Extraction jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Data Extraction jobs in Michigan look for? The top searched job categories for Data Extraction jobs in Michigan are:
Data Extraction jobs near you
Infographic showing various Data Extraction job openings in Michigan as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $51,473 per year, or $24.7 per hour.
EICIM - ETL - Data Warehouse Architect 3

EICIM - ETL - Data Warehouse Architect 3

RICEFW Technologies, Inc.

Lansing, MI • On-site

Contractor

Posted 17 days ago

Job description

The ETL Developer is responsible for designing, developing, and maintaining high-quality data integration solutions using IBM DataStage and related technologies. This role supports both on-premise and cloud environments, contributes to enterprise data modernization efforts, and plays a key role in migrating DataStage workloads to IBM Cloud Pak for Data (CP4D). The developer will collaborate with technical and business teams to deliver reliable, scalable, and secure data pipelines aligned with organizational objectives.
Responsibilities and Technical Skills
  • Develop, enhance, and optimize ETL pipelines using IBM DataStage, including parallel and server jobs, job sequencing, and performance tuning.
  • Support the migration of on-premise DataStage jobs to IBM Cloud Pak for Data (CP4D), including code refactoring, testing, validation, and workflow modernization.
  • Use Python and XML to automate processes, perform data transformations, and integrate automation into ETL workflows.
  • Work extensively in Linux/Unix environments to write shell scripts, manage file systems, monitor processes, and troubleshoot runtime issues.
  • Apply Master Data Management (MDM) principles to ensure data quality, governance, and consistency across enterprise systems.
  • Develop complex SQL queries for data extraction, transformation, validation, and performance improvement across relational database platforms.
  • Work within Agile teams to support sprint activities, deployments, documentation, and continuous improvement practices.
  • Collaborate with data architects, analysts, DBAs, and business users to ensure successful and accurate delivery of data solutions.
  • Troubleshoot ETL issues, perform root-cause analysis, recommend improvements, and ensure adherence to data standards and security policies.

Required Skills
  • 5+ years of experience ETL (IBM DataStage) - Required
  • 1+ years of exposure to Cloud Pak for data - Required
  • 5+ years of experience with Unix/Linux
  • 3+ years of experience with Master Data Management

Desired Skills
  • Previous Government experience

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