ZipRecruiter

Log In

1

Data Integration Manager Jobs in Texas (NOW HIRING)

VDart

Data Integration & Pipeline Engineer

Dallas, TX

$113K - $136K/yr

Data Integration & Pipeline Engineer Location: Dallas, TX 75206 - 3 days onsite Duration: 6 CTH The ... management and data catalog platforms (Collibra, Alation, Purview) • Experience supporting ...

Caeus

At CAE, we are seeking a Manager, Integration, Data & Governance professional to lead the integration and management of training and program data across the Civil Aviation Training portfolio. In this ...

next page

Showing results 1-20

All JobsData Integration Manager JobsData Integration Manager Jobs in Texas

Data Integration Manager information

See Texas salary details

$9

$48

$78

How much do data integration manager jobs pay per hour?

As of Jun 12, 2026, the average hourly pay for data integration manager in Texas is $48.15, according to ZipRecruiter salary data. Most workers in this role earn between $40.53 and $54.18 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 career growth and specialization. Strong technical skills, problem-solving ability, and knowledge of data governance are important 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 across platforms. Strong project management and technical skills are essential for this role.

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 often use tools like ETL (Extract, Transform, Load) software and collaborate with IT teams to implement integration strategies, manage workflows, and maintain data pipelines.

How much do integration managers make in the US?

Integration managers in the US typically earn between $80,000 and $130,000 annually, depending on experience, industry, and location. They often require strong project management skills and knowledge of data systems and tools like ETL platforms or APIs.
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 Data Integration Manager jobs in Texas? For Data Integration Manager jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Data Integration Manager jobs in Texas look for? The top searched job categories for Data Integration Manager jobs in Texas are:
What cities in Texas are hiring for Data Integration Manager jobs? Cities in Texas with the most Data Integration Manager job openings:
Data Integration Manager jobs near you
Technica Data Integration Analyst - DA

Technica Data Integration Analyst - DA

Involgix

Irving, TX • Hybrid

Other

Posted 7 days ago

Job description

Job Title: Technical Data Integration Analyst
Location: Irving, TX (Hybrid)
Duration: 12+ Months
High Level Roles & Responsibilities :
Key Responsibilities
Data Sourcing & Ingestion Strategy: Act as the primary owner for bringing in new data. Identify, evaluate, and profile new internal and external data sources to support business objectives and Pega decisioning.
Agile Collaboration & Story Grooming: Partner closely with the SOI and Pega engineering teams. Translate data requirements into technical user stories, manage the data backlog, and lead grooming sessions to ensure smooth data integration into Pega.
Data Quality & Issue Resolution: Serve as the first line of defense for data integrity. Monitor ongoing data quality, investigate anomalies when stakeholders raise questions, and triage data defects.
Analytics & Query Support: Support the business and SOI teams with basic data analytics. Write queries to pull sample data, size opportunities, and answer ad-hoc questions about data availability and behavior.
Data Library & Governance: Build and maintain the centralized data library (data dictionary/catalog). Ensure all Pega data elements are properly defined, tagged, and documented for cross-functional use.
Required Experience
3–5+ years in Data Analysis, Technical Business Analysis, or Data Product Ownership.
Proven experience working in an Agile/Scrum environment, specifically
writing and grooming technical user stories for data engineering or CRM teams.
Demonstrated experience establishing data quality checks and investigating data discrepancies.
Background in creating data dictionaries, data lineage documentation, or working within data governance frameworks
Required Skills:
Technical / Analytical: Proficiency in SQL to query complex databases,profile new data, and answer basic analytics questions. Familiarity with basic BI tools (Tableau,PowerBI) is a plus.
Agile Tools: Expert in Jira for managing backlogs and writing stories.
Data Concepts: Strong understanding of ETL/ELT processes, API integrations, relational databases, and data structures.
Communication: Exceptional ability to translate complex technical data concepts into clear business language and vice versa.

Apply