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Contract Data Integration Jobs in Minnesota (NOW HIRING)

SV Tech Systems Inc

Sr. ETL Data Developer

Eden Prairie, MN · On-site

$52 - $68/hr

Hi, This is a contract role for Health Parnter in Eden Prairie, MN. Must have SSIS and Epic Clarity. Senior ETL Data Designer 7777 Golden Triangle Drive, Eden Prairie, MN 55344 Contract Contract ...

Centstone

Database Engineer (Azure)

Minneapolis, MN · On-site

Contract * Work Location: Remote/Hybrid - Minnesota * Cloud Platform: Microsoft Azure * Database Technologies: Azure SQL, Oracle Database, Azure Data Lake, Azure Databricks * Data Integration: Azure ...

Trelleborg

Integration Analyst

Plymouth, MN · Hybrid

... data mappings, transformations, validation flows, and schema versioning. * Define API contracts ... Instrument integrations with logging, tracing, and metrics for insights and reliability. * Document ...

Trelleborg

Integration Analyst

Plymouth, MN · On-site

$100K - $130K/yr

... data mappings, transformations, validation flows, and schema versioning. * Define API contracts ... Instrument integrations with logging, tracing, and metrics for insights and reliability. * Document ...

Genesis10

Data Engineer - Hybrid

Eagan, MN · On-site

$79.10 - $89.10/hr

This is a 6+ month contract-to-hire opportunity. Compensation: $79.10 - $89.10 per hour, W2, based ... Design, develop, and maintain scalable cloud-based data pipelines and integration solutions Build ...

SYSCOM, Inc.

Azure Data Architect

Saint Paul, MN · On-site

$120 - $150/hr

Approximately 10-month contract to start. Extensions may be available based on project needs but ... data integration, and enterprise data models. You\'ll work closely with technical and business ...

Robert Half

Data Solutions Engineer

Edina, MN · On-site

$60 - $75/hr

This long-term contract opportunity is suited for a hands-on data specialist who can shape scalable ... Hands-on expertise with DataStage ETL in enterprise data integration environments. * Strong ...

Booz Allen Hamilton

MuleSoft Architect

Brooklyn Park, MN · On-site

$99K - $225K/yr

Knowledge of API-led architecture, MuleSoft, identity, data contracts, system decomposition, and enterprise integration in regulated environments * Ability to design reusable APIs and integration ...

UnitedHealth Group

Data Engineer

Eden Prairie, MN · Remote

$116K - $140K/yr

Architect, Develop and support data integration processes including batch file ingestion and ... interface contracts, workflow diagrams, and operational runbooks for data loads and extracts

Mastech Digital

Senior MDM Software Engineer

Minneapolis, MN · On-site

$135K - $169K/yr

This is a Contract position, and the client is looking for someone to start immediately. Duration ... Data Integration (CDI), and Cloud Application Integration (CAI) ensuring data consistency ...

Mastech Digital

Senior MDM Software Engineer

Minneapolis, MN · On-site

$135K - $169K/yr

This is a Contract position, and the client is looking for someone to start immediately. Duration ... Data Integration (CDI), and Cloud Application Integration (CAI) ensuring data consistency ...

Innova Solutions, Inc

Data Analyst

Bloomington, MN · On-site

$40 - $45.89/hr

... contract Duration: 6 months Location: Minneapolis Minnesota 55420 About the Role: Data Analyst who ... Familiarity with ETL processes, data integration, and operational data environments. * Experience ...

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All JobsContract Data Integration JobsContract Data Integration Jobs in Minnesota

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 Minnesota?

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

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

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

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

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

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

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

Contract Data Integration jobs near you
Infographic showing various Contract Data Integration job openings in Minnesota as of July 2026, with employment types broken down into 67% Full Time, 6% Part Time, and 27% Contract. Highlights an 78% In-person, 11% Hybrid, and 11% Remote job distribution.

AI/ML Data Integration Architect / Data Engineer (AI/ML)

Minneapolis, MN • On-site

Saransh Inc
IT Services • 51 - 200 employees
Learn more about Saransh Incexternal

Contractor

Re-posted 12 days ago

Job description

Role: Data Integration Architect / Data Engineer (AI/ML)
Location: Minneapolis, MN (Hybrid)
Job Type: Contract
 
Required 10+ years of experience
 
Position Summary:
  • We are looking for a highly skilled AWS + Databricks professional with a strong background in Artificial Intelligence / Machine Learning (AI/ML) and cloud-based data solutions. 
  • The ideal candidate will serve as a Solution Architect, leading technical designs and implementations across data pipelines, ML workflows, and scalable analytics platforms.
 
Responsibilities: 
  • Design and implement end-to-end ML solutions using AWS and Databricks
  • Architect and optimize data lakes / lakehouses using Delta Lake, S3, Glue, and Spark
  • Manage feature engineering, model training, evaluation, and deployment workflows via MLflow or SageMaker
  • Lead the architecture of scalable AI/ML pipelines
  • Collaborate with Data Engineers, MLOps teams, and business stakeholders to translate ML use cases into production systems
  • Enforce best practices for model governance, data security, and CI/CD in ML environments