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Data Extraction Jobs in Michigan (NOW HIRING)

Design, implement, and manage ETL processes for data extraction, transformation, and loading. * Build and maintain data warehouse applications including dashboards, reports, and data visualizations.

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You will not just extract dimensional data--you will design, build, and optimize automated ETL pipelines to ingest, clean, and model spatial and geometric datasets. By combining GD&T (Geometric ...

Data Scientist

Dearborn, MI · On-site +1

$128K - $186K/yr

... extraction, analysis, or integration. 2. Using cloud platforms (Google Cloud Platform, AWS, or Azure) and building data processing pipelines (Spark and Dataflow) and utilizing managed machine ...

Data Engineer

Grand Rapids, MI · Hybrid

$110K - $132K/yr

Develop and deploy ELT/ETL processes across multiple sources, targets and tools; Communicate with data consumers to improve processes connecting to data. Develop and deploy self-service reporting ...

Data Engineer

Grand Rapids, MI · On-site +1

$110K - $132K/yr

Develop and deploy ELT/ETL processes across multiple sources, targets and tools; Communicate with data consumers to improve processes connecting to data. Develop and deploy self-service reporting ...

Data Engineer

Grand Rapids, MI · On-site

$106K - $127K/yr

Develop and deploy ELT/ETL processes across multiple sources, targets and tools; Communicate with data consumers to improve processes connecting to data. Develop and deploy self-service reporting ...

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 ...

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 ...

Extraction Lab Technician

Cassopolis, MI · On-site

$18 - $24/hr

... data logs • Preparing biomass for extraction, properly disposing of waste and byproduct Job Requirements: • Must be at least 21 years of age • Experience with extraction production processes ...

This role is the team leader in helping extract, transform, and store the Firm's valuable data assets to achieve better operational efficiencies and provide better services to its clients through ...

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Data Extraction information

See Michigan salary details

$10

$24

$61

How much do data extraction jobs pay per hour?

As of Jul 5, 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:
Infographic showing various Data Extraction job openings in Michigan as of June 2026, with employment types broken down into 40% Full Time, and 60% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $51,473 per year, or $24.7 per hour.

Data Warehouse Architect

Damco

Lansing, MI • On-site

Other

Posted 12 days ago


Job description

Data Warehouse Architect

We are seeking an experienced Data Warehouse Architect to join the Child Welfare Data Warehouse team. The ideal candidate will support the development of federal reporting systems (e.g., NYTD, AFCARS, NCANDS), ad-hoc analytics, ETL pipelines, and Business Objects reporting to facilitate data-driven decision-making across the department.

Position: Data Warehouse Architect 5

Location: Lansing, MI

Position: 1 Closing: 4/14/2025 Work: Hybrid Address: Lansing, MI Projected start date: 05/05/2025

Responsibilities:
  • Collaborate with operational SACWIS/CCWIS developers to maintain data alignment between systems and the data warehouse.
  • Design, implement, and manage ETL processes for data extraction, transformation, and loading.
  • Build and maintain data warehouse applications including dashboards, reports, and data visualizations.
  • Support end-user and developer training, and provide ongoing technical support.
  • Work directly with agency requestors to understand data needs and build custom solutions.
  • Assist federal reporting teams with optimizing database queries and ensuring data accuracy.
Required Skills:
  • 3+ years of experience with Teradata Cloud (v17.20 preferred)
  • 3+ years of experience with Business Objects XI and/or Power BI
  • 3+ years performing ETL processes
  • Bachelor's Degree
Preferred Experience:
  • Federal reporting background (e.g., NYTD, AFCARS, NCANDS)
  • Experience working in a public sector or state government environment
Technical Environment:
  • Data Warehouse Platform: Teradata Cloud 17.20
  • Reporting Tools: Business Objects XI 4.2 SP4 (on Windows 2012), Power BI
  • ETL & BI: Data warehouse-based applications, dashboards, reporting, visualizations
  • Platform: Shared cloud platform with other State of Michigan departments

Interview Process: Virtual Interviews via MS Teams. A screenshot photo of candidate will be required for any interviews as well as a vendor present at beginning of virtual interview to validate candidate. Duration: 1 year with possible extension. Remote or On-site: Accepting local candidates ONLY. Position will be hybrid, in office 2 days a week upon start and there is NO REMOTE ONLY option.