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Contract Data Integration Jobs in Texas (NOW HIRING)

Strategic Staffing Solutions

Data Engineer

Houston, TX · On-site

$109K - $131K/yr

This is a Contract Opportunity with our company that MUST be worked on a W2 Only. No C2C ... integration Experience with orchestration tools such as Airflow, Azure Data Factory (ADF), or AWS ...

IT America Inc

Databricks Data Engineer

Austin, TX · On-site

$113K - $136K/yr

Austin, TX (Preferred Locals to Austin, TX and Permanent residents of USA) Duration: Long-Term Contract Key Skills: Looking for a Senior Databricks Data Engineer with SQL Server + SSIS + DW ...

New

Guidehouse

Data Engineer

Houston, TX · On-site

$53K - $88K/yr

Participate in data integration, migration, and modernization initiatives under the guidance of ... Role contingent upon contract award What You Will Need: * U.S. Citizenship or Green Card is ...

Guidehouse

Data Engineer

San Antonio, TX · On-site

$53K - $88K/yr

Participate in data integration, migration, and modernization initiatives under the guidance of ... Role contingent upon contract award What You Will Need: * U.S. Citizenship or Green Card is ...

Guidehouse

Data Engineer

San Antonio, TX · On-site

$53K - $88K/yr

Participate in data integration, migration, and modernization initiatives under the guidance of ... Role contingent upon contract award What You Will Need: * U.S. Citizenship or Green Card is ...

mustang

Integration & Data Movement Engineer

Mustang, TX

$92K - $124K/yr

Integration & Data Movement Engineer (Enterprise Integrations & Data Flow Enablement) Mustang Cat ... data contracts Versioning and change management practices Contribute to governance processes that ...

Mustang Cat

Integration & Data Movement Engineer

Houston, TX · On-site

$99K - $133K/yr

Integration & Data Movement Engineer (Enterprise Integrations & Data Flow Enablement) Mustang Cat ... data contracts Versioning and change management practices Contribute to governance processes that ...

OpTech LLC

Informatica Administrator

Frisco, TX · On-site

$49.75 - $65.50/hr

Frisco, Texas Database Administrators Contract-HU Job Overview We are seeking a skilled Informatica ... Configure, monitor, and optimize ETL and data integration processes. * Troubleshoot and resolve ...

Genius Road, LLC

Manager, Data Management

Dallas, TX · On-site

Manager, Data Management Contract Position: 12 months + potential extension Location: Dallas, TX ... Knowledge of data management, data integration, and MDM tools; experience with Ab Initio is a plus

Amazon

SysDev Eng, OTS - Data ANCHOR Team

Austin, TX · On-site

$113K - $136K/yr

... data contracts, and pipeline patterns that make data consumable by agents and ML models at scale - Implement user-facing platform features and dashboards where AI integrations and analytical MCPs ...

Amazon

SysDev Eng, OTS - Data ANCHOR Team

Austin, TX

$113K - $136K/yr

... data contracts, and pipeline patterns that make data consumable by agents and ML models at scale - Implement user-facing platform features and dashboards where AI integrations and analytical MCPs ...

Amazon

SysDev Eng, OTS - Data ANCHOR Team

Austin, TX · On-site

$113K - $136K/yr

... data contracts, and pipeline patterns that make data consumable by agents and ML models at scale - Implement user-facing platform features and dashboards where AI integrations and analytical MCPs ...

Integrity

Manager, Master Data Management

Dallas, TX · On-site

... data integration tools, and programming languages such as SQL. • At least 2 years of experience building and developing teams. Must have experience managing onshore and offshore contract resources ...

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All JobsContract Data Integration JobsContract Data Integration Jobs in Texas

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 Texas?

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

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

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

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

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

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

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

Contract Data Integration jobs near you

Data Engineer

Strategic Staffing Solutions

Houston, TX • On-site

$109K - $131K/yr

Full-time

Re-posted 7 days ago

Job description

Job Description STRATEGIC STAFFING SOLUTIONS HAS AN OPENING. This is a Contract Opportunity with our company that MUST be worked on a W2 Only. No C2C eligibility for this position.

Visa Sponsorship is Available. The details are below. "Beware of scams.

S3 never asks for money during its onboarding process." Job Title: Data Engineer Location: Houston, TX Contract Length: 12+ Months Job ref# 247245 Seeking a Senior Data Engineer to support Enterprise AI initiatives within the Shale & Tight business. This is a senior, hands-on engineering role responsible for designing, developing, and optimizing scalable cloud-based data platforms and pipelines that enable AI, analytics, and machine learning solutions. The ideal candidate can work independently, solve complex technical problems, provide technical leadership, mentor engineers, and partner with Software Engineers, AI Engineers, Data Scientists, and business stakeholders to deliver enterprise-scale data solutions

Required Qualifications Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field (or equivalent experience) 10+ years of Data Engineering experience Expert-level Python and SQL development Experience designing and building scalable ETL/ELT data pipelines Strong experience with AWS, Azure, or GCP Experience with distributed data processing technologies such as Spark or Databricks Experience with data modeling, data architecture, and data integration Experience with orchestration tools such as Airflow, Azure Data Factory (ADF), or AWS Glue Experience working with both structured and unstructured data Experience with CI/CD, Git, and DevOps best practices Proven experience designing enterprise-scale data platforms and pipelines Experience building data solutions supporting analytics, AI, or machine learning workloads Strong troubleshooting and root cause analysis skills Demonstrated experience providing technical leadership and mentoring Data Engineers Excellent verbal and written communication skills Ability to work independently, prioritize competing initiatives, and thrive in ambiguous environments Key Responsibilities Design, develop, and optimize scalable cloud-based data pipelines and platforms Translate complex business requirements into technical solutions Partner with Software Engineers, AI Engineers, Data Scientists, and business stakeholders to deliver enterprise AI data solutions Lead the design and implementation of scalable, secure, and maintainable data architectures Improve existing data infrastructure through automation and engineering best practices Ensure data quality, governance, reliability, and platform performance Troubleshoot production issues and perform root cause analysis Mentor junior and mid-level Data Engineers while providing technical leadership Drive engineering standards, documentation, and code quality

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