ZipRecruiter

Log In

1

Data Integration Engineer Jobs (NOW HIRING)

Saviance

Integration (Data) Engineer

Boston, MA

Integration (Data) Engineer Location: Mexico Duration: 3+ months About Job: We are seeking a talented Integration Engineer with a strong background in data integration, ETL (Extract, Transform, Load ...

SourceDay, Inc.

Data Integration Engineer

Austin, TX · On-site

$113K - $136K/yr

SourceDay needs someone who has the experience in developing data integrations of third-party ... If you answered yes to all of these then you will enjoy being a part of the SourceDay's engineering ...

SourceDay, Inc.

Data Integration Engineer

Austin, TX

$113K - $136K/yr

SourceDay needs someone who has the experience in developing data integrations of third-party ... If you answered yes to all of these then you will enjoy being a part of the SourceDay's engineering ...

Conexus

$55 - $75/hr

Conexus is seeking intermediate level data integration engineers for contract work. Candidates will be supported to follow commonly established best practices as well as utilizing cutting edge ...

Nastech Global

Data Integration Developer

New York, NY · On-site

Senior Engineer Location: New York, NY (onsite) Job Type: full time Skill: Data Integration Developer Must Have Technical/Functional Skills: * Design and Development of data integration workflows ...

next page

Showing results 1-20

All JobsData Integration Engineer Jobs

Data Integration Engineer information

See salary details

$10

$51

$84

How much do data integration engineer jobs pay per hour?

As of Jun 22, 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.
More about Data Integration Engineer jobs
What cities are hiring for Data Integration Engineer jobs? Cities with the most Data Integration Engineer job openings:
What states have the most Data Integration Engineer jobs? States with the most job openings for Data Integration Engineer jobs include:
What job categories do people searching Data Integration Engineer jobs look for? The top searched job categories for Data Integration Engineer jobs are:
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.
Integration (Data) Engineer

Integration (Data) Engineer

Saviance

Boston, MA

Other

Posted 3 days ago

Job description

Integration (Data) Engineer

Location: Mexico

Duration: 3+ months

About Job:

We are seeking a talented Integration Engineer with a strong background in data integration, ETL (Extract, Transform, Load) processes, and data pipelines. The Integration Engineer will play a crucial role in ensuring the seamless flow of data between various systems, applications, and databases within our organization. The ideal candidate is detail-oriented, technically skilled, and possesses excellent problem-solving abilities.

Key Responsibilities:

  • Design, develop, and maintain data integration solutions that facilitate the transfer of data between different systems and platforms.
  • Collaborate with cross-functional teams to gather integration requirements and implement solutions that meet business needs.
  • Develop ETL processes to extract, transform, and load data from source systems to target databases or data warehouses.
  • Implement data cleansing, validation, and enrichment procedures to ensure data accuracy and quality.
  • Build and manage data pipelines for ingesting, processing, and delivering data to various downstream applications or analytics platforms.
  • Monitor pipeline performance, troubleshoot issues, and optimize pipeline efficiency.
  • Perform data transformations and manipulations to ensure data compatibility, consistency, and adherence to data standards.
  • Implement data mapping, data conversion, and data enrichment as required.
  • Integrate with external APIs and third-party data sources to retrieve and synchronize data in real-time or batch modes.
  • Handle API authentication, error handling, and data synchronization challenges.
  • Work with various database technologies to retrieve, update, and manipulate data as needed for integration processes.
  • Optimize database queries and operations for performance and scalability.
  • Maintain comprehensive documentation of integration processes, data flows, and ETL workflows.
  • Provide clear documentation for troubleshooting, maintenance, and knowledge sharing.
  • Perform thorough testing of data integration solutions to identify and resolve errors, inconsistencies, and issues.
  • Collaborate with QA teams to ensure data accuracy and quality throughout the integration process.
  • Collaborate with software developers, data analysts, and business stakeholders to understand integration requirements and priorities.
  • Communicate project status, challenges, and solutions effectively to both technical and non-technical team members.

Qualifications and Skills:

  • Bachelor's degree in Computer Science, Information Technology, or related field (or equivalent experience).
  • Proven experience in data integration, ETL development, and data pipeline management.
  • Proficiency in programming languages such as Python, Java, or Scala for data manipulation and scripting.
  • Strong understanding of relational databases, SQL, and database design principles.
  • Familiarity with ETL tools and frameworks (e.g., Apache NiFi, Apache Airflow, Talend, Informatica).
  • Experience with API integration and working knowledge of RESTful APIs.
  • Knowledge of data warehousing concepts and technologies is a plus.
  • Excellent problem-solving skills and attention to detail.
  • Strong communication and teamwork abilities.
Saviance logo

About Saviance

Sourced by ZipRecruiter

Saviance is a modern consulting firm providing a variety of professional services to its clients in the US. We bring twenty three years of experience to the table. Our consultants are qualified experts and extremely talented. We understand the business behind the technology, and work with many of the top Fortune 100 companies and provide innovative, scalable, robust and secure solutions. At the forefront of the Staffing and IT Solutions industry, Saviance is certified by NMSDC as a Tier 1, Minority Business Enterprise (MBE) . We are a self- certified Small Business and self- certified Woman Owned Business committed to maximizing global workforce solutions on behalf of our clients, empowering businesses and talent through applied human intelligence. We are a Diversity Supplier with global reach specializing in a business services blend of talent, technology, and a relentless commitment to customer success. It’s our diversity that’s acts as a core component of our culture, our approach to business, and the opportunities we provide to our clients and our employees.

Industry

It services

Company size

201 - 500 Employees

Headquarters location

East Rutherford, NJ, US

Year founded

1999

Social media

FacebookTwitter

View All Saviance Jobs

Apply