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Contract Data Integration Jobs in Michigan (NOW HIRING)

MetaRPO

W2 - Snowflake Data engineer

Detroit, MI · On-site

$104K - $125K/yr

Contract | Experience: 10+ Years We are seeking a Senior Data Engineer with strong experience in Snowflake, AWS, Python, Data Vault, and enterprise data integration to design and deliver scalable ...

New

Saanvi Technologies

Data Engineer 3

Dearborn, MI · On-site

$105K - $126K/yr

Data Engineer Dearborn, MI Hybrid 4days onsite and 1 day remote W2 Position Description: Ford Motor ... Design and maintain ETL pipelines and API integrations (REST/SOAP) * Translate union contracts ...

Select Minds LLC

Data Architect II

Lansing, MI · On-site

$64.75 - $83.25/hr

Contract Pay Rate: based on experience, skills, and engagement type Duration: Long Term Interview ... Experience with Business Intelligence, Data Management, and data integration technologies.

Select Minds LLC

Data Architect II

Lansing, MI · On-site

$55 - $60/hr

Contract Pay Rate: based on experience, skills, and engagement type Duration: Long Term Interview ... data integration technologies. - Hands-on knowledge of SAP BusinessObjects and Oracle Hyperion ...

Select Minds LLC

Data Architect II

Lansing, MI · On-site

$55 - $60/hr

Contract Pay Rate: based on experience, skills, and engagement type Duration: Long Term Interview ... data integration technologies. - Hands-on knowledge of SAP BusinessObjects and Oracle Hyperion ...

CFS

Senior Data Engineer

East Lansing, MI · On-site

$125K - $155K/yr

Permanent or Contract-to-Hire Salary: $125,000 - 155,000 Benefits: Free Healthcare options ... Build and maintain robust data pipelines for ingestion, transformation, and integration across ...

CFS

Senior Data Engineer

East Lansing, MI · On-site

$125K - $155K/yr

Permanent or Contract-to-Hire Salary: $125,000 - 155,000 Benefits: Free Healthcare options ... Build and maintain robust data pipelines for ingestion, transformation, and integration across ...

Deloitte

Data Engineer

Midland, MI

$98K - $118K/yr

Experience with data integration frameworks and orchestration tools. * Proficiency in designing and ... Partner with stakeholders to translate requirements into well-defined datasets and data contracts.

Deloitte

Data Engineer

Lansing, MI

$116K - $139K/yr

Experience with data integration frameworks and orchestration tools. * Proficiency in designing and ... Partner with stakeholders to translate requirements into well-defined datasets and data contracts.

Deloitte

Data Engineer

Grand Rapids, MI

$110K - $132K/yr

Experience with data integration frameworks and orchestration tools. * Proficiency in designing and ... Partner with stakeholders to translate requirements into well-defined datasets and data contracts.

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All JobsContract Data Integration JobsContract Data Integration Jobs in Michigan

Contract Data Integration information

What is a contract data integration specialist?

A Contract Data Integration specialist is a professional responsible for combining, transforming, and managing data from various contract management systems into a unified format. They work to ensure that data from different sources—such as procurement, legal, and vendor management platforms—can be seamlessly accessed, analyzed, and reported. The role typically involves using integration tools, APIs, and data mapping techniques to automate workflows and improve data accuracy. This helps organizations maintain compliance, streamline contract processes, and make data-driven decisions.

What are some common challenges faced by professionals in contract data integration roles, and how can they be addressed?

Professionals in Contract Data Integration often encounter challenges such as consolidating data from diverse sources, ensuring data accuracy, and maintaining data confidentiality. Navigating different contract management systems and formats can be complex, requiring strong technical skills and attention to detail. Building effective communication channels with legal, procurement, and IT teams is crucial for successful integration projects. Staying updated on industry best practices and utilizing automation tools can help streamline processes and reduce errors.

What are the key skills and qualifications needed to thrive as a contract data integration specialist, and why are they important?

To thrive as a Contract Data Integration Specialist, you need strong data analysis skills, experience with data mapping, and knowledge of contract management processes, typically supported by a degree in information systems or a related field. Familiarity with data integration tools like Informatica, MuleSoft, or Microsoft SSIS, as well as experience with contract lifecycle management (CLM) systems, is commonly required. Attention to detail, problem-solving, and effective communication are important soft skills for coordinating with stakeholders and ensuring data accuracy. These skills are crucial for successfully merging contract data from multiple sources, minimizing errors, and supporting business decision-making.

What is the difference between Contract Data Integration vs Data Analyst?

AspectContract Data IntegrationData Analyst
Required SkillsData mapping, ETL processes, database managementData analysis, visualization, statistical skills
Work EnvironmentProject-based, technical teams, IT departmentsBusiness units, reporting teams, analytics departments
CertificationsETL tools, database certifications, data managementExcel, SQL, Tableau, statistical certifications

Contract Data Integration specialists focus on connecting and managing data flows between systems, emphasizing technical skills like ETL and database management. Data Analysts interpret data to generate insights, requiring analytical and visualization skills. While both roles work with data, their core functions and skill sets differ, making them distinct but complementary in data-driven organizations.

What are the most commonly searched types of Data Integration jobs in Michigan?

The most popular types of Data Integration jobs in Michigan are:

What are popular job titles related to Contract Data Integration jobs in Michigan?

For Contract Data Integration jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching Contract Data Integration jobs in Michigan look for?

The top searched job categories for Contract Data Integration jobs in Michigan are:

What cities in Michigan are hiring for Contract Data Integration jobs?

Cities in Michigan with the most Contract Data Integration job openings:

Contract Data Integration jobs near you
Infographic showing various Contract Data Integration job openings in Michigan as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

W2 - Snowflake Data engineer

Detroit, MI • On-site

MetaRPO
See more jobs at MetaRPOexternal

$104K - $125K/yr

Other

Posted 2 days ago

New

Job description

Senior Data Engineer – Snowflake

Job Type: Contract | Experience: 10+ Years

Job Description

We are seeking a Senior Data Engineer with strong experience in Snowflake, AWS, Python, Data Vault, and enterprise data integration to design and deliver scalable data solutions supporting analytics, reporting, data science, and AI initiatives.

Key Responsibilities

  • Design and develop scalable cloud data pipelines, data lakes, and enterprise data platforms.
  • Build data ingestion, transformation, cleansing, standardization, deduplication, and data quality processes.
  • Design enterprise data models using Data Vault methodology.
  • Develop solutions using relational, NoSQL, and API-based data integration.
  • Implement data governance, quality, metadata, lineage, security, and monitoring practices.
  • Collaborate with business and technology teams on requirements, architecture, and solution design.
  • Apply Git, DevOps, CI/CD, Agile, and modern software engineering practices.
  • Provide technical leadership, mentor engineers, and establish engineering standards.

Required Skills

  • 10+ years of Data Engineering experience
  • Snowflake
  • AWS: S3, AWS CLI, Lambda, DynamoDB
  • Python
  • Data Vault modeling
  • dbt
  • Qlik Replicate
  • IBM InfoSphere DataStage
  • IBM CP4D (Cloud Pak for Data)
  • Enterprise ETL/ELT, data integration, migration, and API development
  • Data quality, governance, metadata, lineage, and security
  • Git, DevOps, CI/CD, and Agile

Preferred

  • Insurance business/data domain experience, especially P&C insurance
  • Experience with enterprise analytics, ML, and AI data platforms
  • Strong architecture, leadership, communication, and mentoring skills
  • Bachelor's degree in Computer Science, Information Systems, or related field

 

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