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Data Integration Manager Jobs in Dallas, TX (NOW HIRING)

The Data Integration Engineer responsible for procuring, integrating, and maintaining external data ... Manages Ambiguity & Change - Makes decisions with available information that align with strategy ...

Data Integration Engineer Location: Dallas TX Duration: 6 to 12+ Months Technical Skills ... Familiarity with SQL and database management systems (e.g., SQL Server) * Understanding of data ...

... Management, or SAP PI/PO. * DataPipelines & ETL: Develop and optimize scalable data pipelines ... Monitor active integration pipelines, conductroot-cause analysis on performance bottlenecks or ...

Data Integration Specialist Find your next move at JLL and build a fulfilling career At JLL, we ... This client-centric role requires someone who can understand property management data structures ...

The manager enforces API lifecycle management and security standards, leads design reviews, and champions event-driven integration to enable timely data movement, collaborating with data platform ...

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Data Integration Manager information

See Dallas, TX salary details

$10

$51

$83

How much do data integration manager jobs pay per hour?

As of Aug 2, 2026, the average hourly pay for data integration manager in Dallas, TX is $51.34, according to ZipRecruiter salary data. Most workers in this role earn between $43.22 and $57.79 per hour, depending on experience, location, and employer.

Is data integration a good career?

Data Integration Managers oversee the process of combining data from different sources to ensure consistency and accessibility, often using tools like ETL software and SQL. The role is in demand across industries such as finance, healthcare, and technology, offering opportunities for advancement and specialization. Strong technical skills, problem-solving ability, and knowledge of data governance are essential for success in this field.

What does an integration manager do?

An integration manager oversees the process of combining different software systems and data sources to ensure they work together effectively. They coordinate technical teams, develop integration strategies, and use tools like APIs and middleware to facilitate seamless data flow and system interoperability.

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

AspectData Integration ManagerData Analyst
Required CredentialsBachelor's degree in IT, Computer Science, or related field; certifications in data management or integration toolsBachelor's degree in Statistics, Mathematics, or related field; certifications in data analysis or visualization tools
Work EnvironmentCollaborates with IT teams, data engineers, and business units to oversee data integration processesWorks with business stakeholders to analyze data, generate reports, and support decision-making
Employer & Industry UsageCommon in tech, finance, healthcare, and large enterprises managing complex data systemsWidely used across industries for data-driven roles focusing on insights and reporting

While both roles involve working with data, the Data Integration Manager focuses on overseeing the integration and management of data systems, ensuring data flows correctly across platforms. In contrast, the Data Analyst primarily interprets data to generate insights and support business decisions. Both roles require strong technical skills, but their core responsibilities and focus areas differ significantly.

What are some common challenges Data Integration Managers face when coordinating cross-departmental projects?

Data Integration Managers often encounter challenges such as aligning different departments' data standards, managing conflicting priorities, and ensuring data security across systems. Effective communication and strong project management skills are essential for navigating these complexities. Building collaborative relationships and setting clear expectations early in the project can help streamline data flows and minimize bottlenecks.

What are the key skills and qualifications needed to thrive as a Data Integration Manager, and why are they important?

To thrive as a Data Integration Manager, you need expertise in data management, ETL processes, and a strong understanding of database systems, often supported by a degree in computer science or a related field. Familiarity with integration tools like Informatica, Talend, or Microsoft SSIS, as well as experience with cloud platforms and relevant certifications, is typically required. Strong leadership, problem-solving skills, and effective communication help manage cross-functional teams and stakeholder expectations. These skills ensure seamless data flow, system reliability, and successful project delivery in complex data environments.

What does a data integration manager do?

A data integration manager oversees the process of combining data from different sources into a unified system, ensuring data quality, consistency, and accessibility. They design and implement data workflows, often using tools like ETL (Extract, Transform, Load) processes, and coordinate with IT and data teams to support business analytics and decision-making.

Is AI replacing data entry jobs?

AI is automating many data entry tasks, which can reduce the need for manual input and increase efficiency. Data Integration Managers often oversee the implementation of such technologies, requiring skills in data management tools and understanding of automation processes. While some routine jobs may decline, new roles focusing on managing and optimizing AI systems are emerging in the field.
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What cities near Dallas, TX are hiring for Data Integration Manager jobs? Cities near Dallas, TX with the most Data Integration Manager job openings:

Data Integration Developer

PROLIM Global Corporation

Plano, TX โ€ข On-site, Remote

Full-time

Posted 21 days ago


Job description

Job Title: Data Integration Developer
Location: Remote (US)
Duration: 6 Months (02/15/2026 - 08/15/2026)
Experience: 8-10 Years
Domain: Data Integration / ETL

Job Summary
We are seeking an experienced Data Integration Developer with strong hands-on expertise in Informatica PowerCenter and cloud data integration tools. The ideal candidate will have deep ETL development experience, strong SQL skills, and exposure to large enterprise data environments, with a focus on data quality, governance, and analytics.
Key Responsibilities
  • Design, develop, and maintain ETL solutions using Informatica PowerCenter, IDC, and IDMC/IICS
  • Build and manage mappings, mapplets, sessions, and workflows aligned with technical specifications
  • Perform data integration, transformation, and loading across multiple source systems
  • Develop data models and ensure data accuracy, consistency, and integrity
  • Implement data quality rules and governance policies
  • Work with Teradata utilities (BTEQ, MultiLoad, FastExport, TPT, SQL Assistant)
  • Write and optimize advanced SQL queries across Oracle, SQL Server, Teradata, and Azure SQL
  • Use Unix/Linux shell scripting for automation and scheduling
  • Collaborate with business and analytics teams to deliver dashboards and reports
  • Analyze customer data to identify trends, insights, and improvement opportunities
  • Ensure compliance with data regulations such as GDPR and CCPA

Required Skills & Qualifications
  • 8-10 years of experience in Informatica PowerCenter and ETL development
  • Strong experience with IDMC/IICS (Cloud Data Integration)
  • Advanced SQL proficiency and solid understanding of data modeling
  • Hands-on experience with Teradata utilities
  • Experience working in large enterprise environments
  • Knowledge of Unix/Linux shell scripting and scheduling tools (Control-M, Autosys)
  • Strong analytical and problem-solving skills

Nice to Have
  • Experience with MDM and Analytics Reporting
  • BI/Data Modeling using Informatica or Python
  • Exposure to AI/ML or advanced analytics
  • Experience building customer analytics dashboards