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Data Extraction Jobs in Michigan (NOW HIRING)

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

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 · On-site

$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 ...

Proficiency with data extraction tools such as SQL, Business Objects, Cognos, etc.High self-organizing skills * Excellent interpersonal and communication skills * Ability to understand and ...

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 ...

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 ...

... extraction, transformation, and analysis across relational databases. • 4+ years of demonstrated proficiency in Python or R for statistical modeling and data wrangling. • 4+ years of hands-on ...

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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 Jun 14, 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.

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 are the most commonly searched types of Data Extraction jobs in Michigan? The most popular types of Data Extraction jobs in Michigan are:
Infographic showing various Data Extraction job openings in Michigan as of June 2026, with employment types broken down into 3% As Needed, 49% Full Time, 31% Part Time, and 17% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $51,473 per year, or $24.7 per hour.

Fulltime_PLM Data Migration Engineer Teamcenter to 3DEXPERIENCE

SKANDA SOLUTIONS LLC

Dearborn, MI

Other

Posted 2 days ago


Job description

ob Title

PLM Data Migration Engineer – Teamcenter to 3DEXPERIENCE

Overview / Summary

We are seeking a PLM Data Migration Engineer with experience in Teamcenter and 3DEXPERIENCE environments. The role involves developing migration utilities, managing PLM data transformations, and supporting AI-driven automation for data quality and discrepancy resolution during system migration activities.

Key Responsibilities
  • Build and maintain Java-based migration utilities to extract and import PLM data between systems
  • Develop automation solutions to detect and resolve data discrepancies, including attribute mismatches, structure gaps, and metadata conflicts
  • Consume REST APIs and Teamcenter SOA services for data extraction and integration
  • Utilize XPDM frameworks to support data exchange and maintain data integrity within 3DEXPERIENCE
  • Develop and optimize CAA scripts for handling geometry and metadata requirements
  • Work with middleware and staging data layers, including MongoDB, for data transformation and migration processing
  • Extract and manage PLM objects, BOM structures, item revisions, and CAD datasets
  • Define and implement data mapping and transformation logic between PLM platforms
  • Support AI/ML-based approaches for data cleansing and migration automation
Required Qualifications
  • Bachelor’s Degree
  • 4+ years of data engineering experience in the PLM domain
  • Strong Java development experience including Core Java, Multithreading, and REST API integration
  • Experience with Teamcenter SOA and Teamcenter data model
  • Experience with 3DEXPERIENCE, including XPDM and CAA C++/Java scripting
  • Experience with REST APIs and data migration projects
  • Knowledge of AI/ML tools or Python libraries such as Scikit-learn or Pandas
  • Experience working with middleware or staging databases such as MongoDB
  • Understanding of CAD and PLM data structures including BOMs, datasets, and item revisions
Preferred Qualifications
  • Experience with C++
  • Experience in Teamcenter to 3DEXPERIENCE migration projects
  • Experience with ENOVIA/3DX data modeling and configuration
  • Strong analytical and problem-solving skills for complex data migration scenarios
  • Python experience for rapid prototyping and data-cleansing automation