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Contract Data Integration Jobs (NOW HIRING)

This position is contingent upon award of contract** SOSi is seeking a Data Integration Specialist to support mission requirements for a structured approach to further develop, integrate, and sustain ...

This position is contingent upon award of contract** SOSi is seeking a Data Integration Specialist to support mission requirements for a structured approach to further develop, integrate, and sustain ...

Data Integration Specialist - Contingent Pipeline Opportunity - We're building a talent pipeline ... Opportunities are contingent upon task order awards and funding under existing contracts. Location:

$55 - $75/hr

Conexus is seeking intermediate level data integration engineers for contract work. Candidates will be supported to follow commonly established best practices as well as utilizing cutting edge ...

Data Integration Specialist - Contingent Pipeline Opportunity - We're building a talent pipeline ... Opportunities are contingent upon task order awards and funding under existing contracts. Location:

Please note that the availability of this position is contingent upon contract award. Benefits: At ... Data Integration Specialist (Handling data ingestion and interoperability across DoD and commercial ...

Define enterprise integration architecture -- which systems connect to which, API standards, data contracts * Lead data flow governance -- real-time vs. batch decisions, data quality thresholds, data ...

Define enterprise integration architecture -- which systems connect to which, API standards, data contracts * Lead data flow governance -- real-time vs. batch decisions, data quality thresholds, data ...

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How much do contract data integration jobs pay per hour?

As of Jun 11, 2026, the average hourly pay for contract data integration in the United States is $51.68, according to ZipRecruiter salary data. Most workers in this role earn between $43.51 and $58.17 per hour, depending on experience, location, and employer.

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 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.
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Data Integration Specialist

SOSi

Doral, FL • On-site

Full-time

Posted 10 hours ago


Job description

Company Description
Founded in 1989, SOSi is among the largest private, founder-owned technology and services integrators in the defense and government services industry. We deliver tailored solutions, tested leadership, and trusted results to enable national security missions worldwide.
Job Description
**This position is contingent upon award of contract**
SOSi is seeking a Data Integration Specialist to support mission requirements for a structured approach to further develop, integrate, and sustain a scalable, federated data ecosystem that enhances interoperability, governance, and mission-driven analytics for a DoD customer. The primary objective of the program is to bridge the operational gaps between DoD, IC, interagency, and non-traditional international partners to enable real-time information sharing, dynamic data integration, and mission-tailored analytical capabilities.
Essential Job Duties:
  • Develop and maintain scalable data pipelines that enable real-time and batch processing of structured and unstructured data.
  • Implement Extract, Transform, Load (ETL) workflows that facilitate data interoperability across cloud and on-premises environments.
  • Manage schema alignment, metadata tagging, and data governance to ensure data quality and traceability.
  • Coordinate with the AI/ML Engineer to ensure data transformations meet model training and analytical requirements.
  • Submit the Data Ingestion & Transformation Report, documenting data sources, pipeline optimizations, and integration updates

Qualifications
  • Active TS/SCI clearance.
  • Bachelor's degree in Data Science, Information Management, or a related field, OR five (5) years of equivalent experience in data integration.
  • Demonstrated experience in developing and managing ETL workflows, integrating data from multiple sources, and ensuring data quality and consistency.
  • Experience with tools such as Apache NiFi, Databricks, and SQL-based data warehouses is required.
  • Possess the knowledge and capability to manage data ingestion, transformation, and interoperability across cloud-based and on-premises environments.
  • Personnel must be proficient in data integration tools, API development, ETL pipelines, and schema management.

Preferred Qualifications:
  • Certifications include Certified Data Management Professional (CDMP) or Microsoft Certified: Azure Data Engineer Associate.

Additional Information
Working Conditions
  • Normal office conditions.

Working at SOSi
All interested individuals will receive consideration and will not be discriminated against for any reason.