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Data Integration Engineer Jobs in Irving, TX (NOW HIRING)

Redolent, Inc.

Data Integration Engineer

Dallas, TX · On-site

Data Integration Engineer Location: Dallas TX Duration: 6 to 12+ Months Technical Skills: * Proficient in Apache Kafka concepts (producers, consumers, topics, partitioning, etc.) * Expertise in ...

Prolim Global

Integration Engineer

Plano, TX · On-site

$99K - $134K/yr

Integration Engineer Location: Multiple Locations / Travel Required Experience: 5+ Years Key ... Ability to analyze logs, alarms, and network performance data. * Good customer-facing and ...

PROLIM Global Corporation

Integration Engineer

Plano, TX · On-site

$99K - $134K/yr

Integration Engineer Location: Multiple Locations / Travel Required Experience: 5+ Years Key ... Ability to analyze logs, alarms, and network performance data. * Good customer-facing and ...

Snowrelic Inc

Oracle Data Integration (W2)

Dallas, TX · On-site

Oracle Data Integration Location: Dallas, TX JD: Please submit only candidates who are authorized to work in the United States. * Only applicants who are currently local to Dallas Texas or are ...

ClinDCast LLC

Iguana Integration Engineer

Irving, TX · Remote

$106K - $143K/yr

We are looking for experienced Iguana Integration Engineers to support the development, deployment ... Collaborate with application teams to ensure smooth data flow between systems. Implement and ...

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All JobsData Integration Engineer JobsData Integration Engineer Jobs in Irving, TX

Data Integration Engineer information

See Irving, TX salary details

$9

$49

$80

How much do data integration engineer jobs pay per hour?

As of Aug 30, 2026, the average hourly pay for data integration engineer in Irving, TX is $49.63, according to ZipRecruiter salary data. Most workers in this role earn between $41.78 and $55.87 per hour, depending on experience, location, and employer.

What is a data integration engineer?

Data Integration Engineers are IT professionals who design, build, and maintain systems that combine data from multiple sources into a unified view. They develop and manage data pipelines, ensuring data flows smoothly between databases, applications, and storage solutions. Their work enables organizations to access accurate and consistent information for analytics, reporting, and business decision-making. Data Integration Engineers often use ETL (Extract, Transform, Load) tools, APIs, and custom scripts to achieve seamless data integration.

What are the key skills and qualifications needed to thrive as a data integration engineer?

To thrive as a Data Integration Engineer, you need strong skills in data modeling, ETL (extract, transform, load) processes, and experience with database management, often supported by a degree in computer science or a related field. Familiarity with integration tools like Informatica, Talend, or Microsoft SSIS, and knowledge of programming languages such as SQL and Python, are typically required. Excellent problem-solving abilities, attention to detail, and effective communication help you collaborate with cross-functional teams and resolve integration challenges. These skills are critical for ensuring seamless data flow, system interoperability, and the delivery of reliable, actionable business insights.

What are some common challenges data integration engineers face when working with multiple data sources?

Data Integration Engineers often encounter challenges such as handling inconsistent data formats, resolving data quality issues, and ensuring seamless data flow between disparate systems. Integrating legacy databases with modern cloud platforms can require creative problem-solving and careful planning. Additionally, maintaining data security and compliance across various sources demands a strong understanding of protocols and best practices. Collaboration with data architects, developers, and business analysts is crucial to address these challenges effectively and deliver reliable integration solutions.

What is the difference between Data Integration Engineer vs Data Engineer?

AspectData Integration EngineerData Engineer
Primary FocusDesigning and implementing data pipelines for integration and ETL processesBuilding and maintaining data infrastructure, including storage and processing systems
Skills & CertificationsSQL, ETL tools, data warehousing, cloud platformsSQL, programming (Python, Java), big data technologies, cloud services
Work EnvironmentData teams, analytics departments, data warehousesData engineering teams, infrastructure, data lakes
Industry UsageUsed across industries for data integration tasksUsed for creating scalable data pipelines and infrastructure

While both roles involve working with data, Data Integration Engineers focus on connecting and transforming data from various sources, whereas Data Engineers build the underlying systems and infrastructure to support data storage and processing. Both roles often collaborate but serve different core functions within data teams.

What does a data integration engineer do?

A data integration engineer designs, develops, and maintains systems that combine data from multiple sources to ensure accurate and efficient data flow within an organization. They often use tools like ETL (Extract, Transform, Load) processes, SQL, and data pipelines, and require knowledge of databases and scripting languages. Their work supports data analysis, reporting, and decision-making processes.

What are popular job titles related to Data Integration Engineer jobs in Irving, TX?

For Data Integration Engineer jobs in Irving, TX, the most frequently searched job titles are:

What job categories do people searching Data Integration Engineer jobs in Irving, TX look for?

The top searched job categories for Data Integration Engineer jobs in Irving, TX are:

What cities near Irving, TX are hiring for Data Integration Engineer jobs?

Cities near Irving, TX with the most Data Integration Engineer job openings:

Data Integration Engineer jobs near you
Infographic showing various Data Integration Engineer job openings in Irving, TX as of August 2026, with employment types broken down into 76% Full Time, 10% Part Time, and 14% Contract. Highlights an 86% In-person, and 14% Remote job distribution, with an average salary of $103,227 per year, or $49.6 per hour.

Data Integration Engineer

Redolent, Inc.

Dallas, TX • On-site

Contractor

Re-posted 27 days ago

Job description

Title: Data Integration Engineer
Location: Dallas TX
Duration: 6 to 12+ Months
Technical Skills:
  • Proficient in Apache Kafka concepts (producers, consumers, topics, partitioning, etc.)
  • Expertise in developing SSIS packages using the visual designer and advanced transformation components.
  • Familiarity with SQL and database management systems (e.g., SQL Server)
  • Understanding of data warehousing concepts (if applicable)
  • Strong knowledge on Development using Python
  • Must have strong working experience using Databricks.
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About Redolent

Sourced by ZipRecruiter

Redolent, a dynamic and rapidly expanding company committed to excellence in software solutions, where success is fueled by a combination of technical expertise and efficient management practices. Our solutions create a measurable delta in our clients’ productivity and profitability, contributing to their growth and success.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

San Jose, CA, US

Year founded

2008

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