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Data Integration Jobs (NOW HIRING)

Design, develop, maintain, enhance, and monitor Data Integration processes sourcing data from various structured and semi-structured data sources, transforming as per provided business rules or data ...

Design, develop, maintain, enhance, and monitor Data Integration processes sourcing data from various structured and semi-structured data sources, transforming as per provided business rules or data ...

We are seeking an experienced Manager, Data Integration, to lead and scale our data integration engineering function. This role owns the design, delivery, and operational management of our data ...

We are seeking an experienced Manager, Data Integration, to lead and scale our data integration engineering function. This role owns the design, delivery, and operational management of our data ...

We are seeking an experienced Manager, Data Integration, to lead and scale our data integration engineering function. This role owns the design, delivery, and operational management of our data ...

Data Integration Engineer

Atlanta, GA · On-site +1

$100K - $120K/yr

About the job Data Integration Engineer Data Integration Engineer Position Overview Location: (Hybrid Work OR Remote) Role Summary: The Data Integration Engineer plays a crucial role in developing ...

Data Integration Specialist Founded in 1989, SOSi is among the largest private, founder-owned technology and services integrators in the defense and government services industry. We deliver tailored ...

Data Integration Specialist Location: Farmington, UT (Cubiscan is moving! This position is currently based in Farmington, UT, with an anticipated relocation to our new Ogden facility in June 2026 ...

SOSi is seeking a Data Integration Specialist to support mission requirements for a structured approach to further develop, integrate, and sustain a scalable, federated data ecosystem that enhances ...

Data Integration Developer Must Have Technical/Functional Skills: * Design and Development of data integration workflows, macros, data validation, data transformations, macros, data cleansing, using ...

Position Description: Data Integration Specialist - Contingent Pipeline Opportunity - We're building a talent pipeline for upcoming U.S. Government defense IT and analytics support roles.

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How much do data integration jobs pay per hour?

As of Jun 3, 2026, the average hourly pay for data integration 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.

What is a Data Integration job?

A Data Integration job involves combining data from different sources into a unified view for analysis, reporting, and operational use. Professionals in this role design, develop, and maintain data pipelines to ensure seamless data flow between systems. They often work with ETL (Extract, Transform, Load) processes, APIs, and cloud platforms to facilitate integration. Strong skills in SQL, data modeling, and tools like Informatica, Talend, or Apache Nifi are commonly required. Their goal is to ensure data accuracy, consistency, and availability for business and analytical use.

What are the key skills and qualifications needed to thrive in the Data Integration position, and why are they important?

To thrive as a Data Integration professional, you need strong knowledge of data management principles, proficiency in SQL, ETL processes, and experience with data warehousing concepts, often supported by a bachelor's degree in computer science or a related field. Familiarity with integration platforms such as Informatica, Talend, or Microsoft SSIS, as well as certifications like Certified Data Management Professional (CDMP), are commonly beneficial. Excellent problem-solving, communication, and collaboration skills help manage complex projects and liaise with stakeholders across technical and business teams. These abilities are crucial for ensuring seamless, accurate data flow that supports informed business decisions and operational efficiency.

What are the typical daily responsibilities of someone working in Data Integration?

Data Integration professionals are often responsible for designing, developing, and maintaining ETL pipelines that transfer and transform data between different systems. Their day-to-day tasks may include analyzing data sources, troubleshooting data inconsistencies, optimizing integration workflows, and creating documentation for data processes. Collaboration is frequent, as they work closely with database administrators, data analysts, and business stakeholders to ensure data accuracy and availability. Staying updated with evolving tools and best practices also forms a key part of their ongoing responsibilities.
What cities are hiring for Data Integration jobs? Cities with the most Data Integration job openings:
What are the most commonly searched types of Data Integration jobs? The most popular types of Data Integration jobs are:
What states have the most Data Integration jobs? States with the most job openings for Data Integration jobs include:
What job categories do people searching Data Integration jobs look for? The top searched job categories for Data Integration jobs are:
Infographic showing various Data Integration job openings in the United States as of May 2026, with employment types broken down into 1% As Needed, 95% Full Time, 1% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $107,501 per year, or $51.7 per hour.
Data Integration

Other

Posted 8 days ago


Job description

Contingent Worker - RCR-956 TDM-6

Location: Hybrid downtown Chicago

Interview Mode: Virtual 2 rounds

I. Work To Be Performed:
  • Responsible for the design, development, implementation, and maintenance of new and existing Data Integration processes within the Strategic Data Platform and other data solutions implementations.
  • Design, develop, maintain, enhance, and monitor Data Integration processes sourcing data from various structured and semi-structured data sources, transforming as per provided business rules or data mappings, and loading into target databases/services including DB2, AWS S3, and Apache Iceberg.
  • Serve as a subject matter expert on multiple data integration projects, ensuring consistent design and efficient data processing.
  • Play a leading role in Build, Test, and Implementation phases of assigned projects, with a diverse development team spread across multiple locations.
  • Provide Level 2 and Level 3 technical support to mission-critical applications.
  • Perform process improvement and re-engineering with an understanding of technical data problems and solutions as they relate to the current and future business environment.
  • Analyze complex distributed production deployments and make recommendations to optimize performance.
  • Design and develop innovative data solutions for demanding business situations.
  • Develop and document Data Integration standards and procedures.
  • Design reusable and portable Data Integration components.
  • Transform flat delimited files into multiple formats, including Parquet, JSON, and Protobuf.
  • Play a supporting role in Build, Test, and Implementation phases of assigned projects, with a diverse development team spread across multiple locations.
  • Investigate production Data Integration issues and work to determine the root cause of problems.
  • Work with the DBA teams to fix performance issues as required.
  • Work with the QA team to address testing issues as they occur.
  • Work with the Data Quality/Data Governance team to ensure required data quality and data integrity standards are met.
  • Design reusable Data Integration components.
  • Participate in daily Scrum standups. Update task status in Jira.
  • Conduct Code reviews and incorporate suggested improvements/fixes.
  • Perform other duties as assigned.
II. Skill and Experience Required:
  • 3+ years in IT application development, with at least 2 years in Data Integration (ETL) Development, using tools such as DataStage, Python, SQL and Unix Shell Scripting.
  • Experienced practitioner with a proven track record of implementing mid-scale to large-scale Data Integration (ETL) solutions, performing data analysis and profiling, interacting with client management, and designing and architecting dynamic ETL solutions.
  • Working knowledge for Data Types and Databases including Relational, Dimensional, Vertical and No SQL databases.
  • Hands-on experience with data cleansing and data visualization and familiarity with Hadoop Ecosystem.
  • Experience with platforms such as Hive and Trino/Starburst.
  • Strong conceptual knowledge of file formats such as JSON, Parquet and Protobuf.
  • Capable of writing and optimizing SQL queries and stored procedures.
  • Exposure to AWS Services including but not limited S3, PostgreSQL, Apache Iceberg and Kafka.
  • Ideal candidate would have worked on a Scrum Team and familiar with using tools such as Jira and Git.
  • Experience developing containerized Data Integration solutions using Kubernetes, Rancher, and CI/CD pipelines using Harness, Jenkins and Artifactory is a plus.
  • Experience working with scheduling tools such as UC4, Control-M, or Autosys is a plus.
  • Experience working with Cloud ecosystems (AWS, Azure, GCP, AWS preferred) in multi-availability zone, multi-region deployments.
  • Experience in database performance optimization techniques, multidimensional database designs, and physical database implementations for databases including DB2 and Apache Iceberg is a plus.
  • Strong verbal/written communication skills.
  • Ability to interact with business users and to develop positive working relationships.
  • AWS Certified Solution Architect Associate Level is a plus.
  • Big data related certification is a plus.