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Data Integration Engineer Jobs (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 ...

Diverse Lynx

Data Integration Engineer

Dallas, TX

$113K - $136K/yr

Role - Data Integration Engineer | Location - Primary - Dallas | Secondary - Tampa Minimum 8 years of experience in Data Management| with strong expertise in analytical datawarehousing and ...

Caris Life Sciences

OR · On-site

Position Summary The Data Integration Engineer will install back-end, automated data integrations to customer electronic medical records, billing, data warehouses or other applicable customer systems ...

Central Health

Data Integration Engineer

Austin, TX

$104K - $141K/yr

JOB SUMMARY The Central Health System's Data Integration Engineer designs, develops, implements, enhances, and supports enterprise integrations, APIs, and cloud data pipelines across on-premise and ...

Central Health

Data Integration Engineer

Austin, TX · On-site

$104K - $141K/yr

Overview JOB SUMMARY The Central Health System's Data Integration Engineer designs, develops, implements, enhances, and supports enterprise integrations, APIs, and cloud data pipelines across on ...

Central Health

Data Integration Engineer

Austin, TX · On-site

$104K - $141K/yr

Overview JOB SUMMARY The Central Health System's Data Integration Engineer designs, develops, implements, enhances, and supports enterprise integrations, APIs, and cloud data pipelines across on ...

Central Health

Data Integration Engineer

Austin, TX

$104K - $141K/yr

Overview JOB SUMMARY The Central Health System's Data Integration Engineer designs, develops, implements, enhances, and supports enterprise integrations, APIs, and cloud data pipelines across on ...

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All JobsData Integration Engineer Jobs

Data Integration Engineer information

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$10

$51

$84

How much do data integration engineer jobs pay per hour?

As of Jun 21, 2026, the average hourly pay for data integration engineer in the United States is $51.68, according to ZipRecruiter salary data. Most workers in this role earn between $43.51 and $58.17 per hour, depending on experience, location, and employer.

Is AI replacing data engineers?

AI is transforming the role of data engineers by automating routine tasks such as data cleaning and integration, but it does not replace the need for skilled professionals to design, manage, and oversee data pipelines and infrastructure. Data engineers continue to be essential for building scalable systems, ensuring data quality, and integrating AI tools effectively within data workflows.

Is data integration a good career?

Data Integration Engineers design and implement systems to combine data from multiple sources, often using tools like ETL processes and data warehouses. The role is in demand across industries such as finance, healthcare, and technology, offering opportunities for growth, certifications, and skill development in SQL, scripting, and cloud platforms. It can provide a stable career with competitive salaries and evolving responsibilities as data needs grow.

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 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?

Senior data integration engineers with extensive experience, advanced skills in ETL tools, cloud platforms, and programming languages can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or within large tech companies. Compensation often includes bonuses, stock options, and other incentives for top-tier professionals in this field.

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, data pipelines, and scripting languages to automate data transfer and ensure data quality. Strong knowledge of databases, programming, and data modeling is essential for this role.
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Data Integration Engineer jobs near you
Infographic showing various Data Integration Engineer job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 96% Full Time, 1% Part Time, 1% Temporary, and 1% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $107,501 per year, or $51.7 per hour.
Data Integration Engineer

Data Integration Engineer

Independent Living Systems

Miami, FL • On-site

Full-time

Posted 13 days ago

Independent Living Systems rating

6.5

Company rating: 6.5 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

Job description

We are seeking a Data Integration Engineer to join our team at Independent Living Systems (ILS). ILS, along with its affiliated health plans known as Florida Community Care and Florida Complete Care, is committed to promoting a higher quality of life and maximizing independence for all vulnerable populations.

About the Role:

The Data Integration Engineer will play a crucial role in enhancing the efficiency and effectiveness of our health care services by ensuring seamless data flow between various systems. This position is responsible for designing, developing, and implementing data integration solutions that facilitate accurate and timely access to critical health information. ILS, along with its affiliated health plans known as Florida Community Care and Florida Complete Care, is committed to promoting a higher quality of life and maximizing independence for all vulnerable populations. The successful candidate will collaborate with cross-functional teams to identify data requirements and create robust integration processes that support clinical and operational needs. By leveraging advanced data integration techniques, this role aims to improve patient outcomes and streamline workflows within the organization. Ultimately, the Engineer, Data Integration will contribute to the overall mission of delivering high-quality health care services through innovative data solutions.

Minimum Qualifications:

  • Bachelor's degree in Computer Science, Information Technology, or a related field.
  • Proven experience in data integration, ETL processes or data warehousing.
  • Strong knowledge of SQL and database management systems.
  • Relevant experience may substitute for the educational requirement on a year-for-year basis

Preferred Qualifications:

  • Experience in the health care industry and familiarity with health care data standards (e.g., X12, HL7, FHIR).
  • Proficiency in programming using SSIS, SSRS and SSAS.
  • Experience with on-prem/cloud-based data integration tools and platforms.

Responsibilities:

  • Design and implement data integration solutions to connect disparate systems.
  • Supporting and fixing production system incidents in a timely manner to reduce the impact of issues, mitigate damages, and ensure that systems and services continue to operate as planned.
  • Monitor and troubleshoot data integration processes to ensure optimal performance and reliability.
  • Develop and maintain documentation for data integration workflows and processes.
  • Stay updated on industry trends and best practices in data integration and health care technology.

Apply