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

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 ...

Data Integration Engineer

Sunnyvale, TX · On-site

$60K - $148K/yr

Data Integration Engineer City: Sunnyvale State/Province: California Posting Start Date: 7/10/26 Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a leading technology services and consulting ...

New

Data Integration Specialist Find your next move at JLL and build a fulfilling career At JLL, we ... Relevant certifications in dataintegrationsor Python programming * Experience with version control ...

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 ...

New

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 ...

We are looking for an experienced EMS/DMS Integration Engineer to support grid systems integration and data exchange across utility platforms. Key Responsibilities: * Support integration of EMS ...

Sr. Integration Engineer

Plano, TX · On-site

$132K - $204K/yr

... data integration needs. • Collaborate with data engineering teams to support batch data movement and transformation requirements. • Assist in diagnosing production issues and implementing ...

Sr. Integration Engineer

Plano, TX · On-site

$99K - $134K/yr

... data integration needs. • Collaborate with data engineering teams to support batch data movement and transformation requirements. • Assist in diagnosing production issues and implementing ...

Sr. Integration Engineer

Plano, TX · On-site

$97K - $130K/yr

Collaborate with data engineering teams to support batch data movement and transformation ... Experience supporting legacy integration environments and modernization initiatives Experience ...

The Senior Integration Engineer designs and implements integration solutions for data from APIs/Events/Batch based systems. Accountabilities: * The Senior Integration Engineer supports various ...

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 ...

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Data Integration Engineer information

See Dallas, TX salary details

$10

$51

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How much do data integration engineer jobs pay per hour?

As of Jul 13, 2026, the average hourly pay for data integration engineer 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.

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 are Data Integration Engineers?

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, and why are they important?

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 engineers make $200,000 a year?

Data Integration Engineers with extensive experience, advanced skills in data pipelines, and proficiency in tools like ETL platforms and cloud services can earn $200,000 or more annually. High salaries are often associated with senior roles, specialized expertise, and working in industries such as finance, technology, or consulting.

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 engineers make $500,000 a year?

Senior data integration engineers with extensive experience, advanced skills in ETL tools, cloud platforms, and programming languages can reach or exceed a $500,000 annual salary, especially in high-cost-of-living areas or executive roles. Such compensation often includes bonuses, stock options, or other incentives and typically requires a strong track record of complex project management and technical expertise.

What engineers make $300,000 a year?

Senior data integration engineers with extensive experience, advanced skills in ETL tools, cloud platforms, and programming languages can earn $300,000 or more annually. High compensation is often associated with roles in large organizations, specialized expertise, and leadership responsibilities.

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 work with tools like ETL (Extract, Transform, Load) processes, databases, and data pipelines, often requiring knowledge of programming languages and data modeling. Their role supports data analysis, reporting, and decision-making by ensuring data consistency and accessibility.
What are popular job titles related to Data Integration Engineer jobs in Dallas, TX? For Data Integration Engineer jobs in Dallas, TX, the most frequently searched job titles are:
What job categories do people searching Data Integration Engineer jobs in Dallas, TX look for? The top searched job categories for Data Integration Engineer jobs in Dallas, TX are:
What cities near Dallas, TX are hiring for Data Integration Engineer jobs? Cities near Dallas, TX with the most Data Integration Engineer job openings:
Infographic showing various Data Integration Engineer job openings in Dallas, TX as of July 2026, with employment types broken down into 1% As Needed, 87% Full Time, 10% Part Time, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $106,796 per year, or $51.3 per hour.
Data Integration Engineer

Data Integration Engineer

Redolent, Inc.

Dallas, TX • On-site

Contractor

Re-posted 9 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.

Redolent logo

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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