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Data Integration Jobs (NOW HIRING)

RIT Solutions

Data Integration

Dallas, TX · On-site

Data Integration Consultant Location: Hybrid downtown Chicago or Dallas Texas (local only) I. Work To Be Performed: * Responsible for the design, development, implementation, and maintenance of new ...

SOSi

Data Integration Specialist

Doral, FL · On-site

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 ...

Second-61

Data Integration Specialist

Doral, FL · On-site

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.

Prescient Edge

Data Integration Specialist

Doral, FL · On-site

Job Title Data Integration Specialist Location Doral, FL 33122 US (Primary) Category Intelligence Job Type Full-Time Career Level Staff Education Bachelor's Degree Travel Security Clearance Required ...

Krispy Kreme

Data Integration Engineer

Charlotte, NC

Krispy Kreme's Data Integration Engineer will be responsible for designing, implementing, and maintaining data integration solutions, creating robust data integration pipelines that connect B2B ...

New

SOSi

Data Integration Specialist

Doral, FL

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 ...

Diverse Lynx

Cognos Data Integration

Louisville, KY · On-site

Data Integration Developer experienced in migrating DB2| SQL| PostgreSQL Roles & Responsibilities • Extensive experience in data integration, ETL development, and processing data within cloud ...

Euclid

Data Integration Architect

Manhattan, NY · On-site

Data Integration Architect Required experience: * Architecting data integration solutions in Microsoft Azure. * Managing REST and GraphQL APIs for data consumption. * Designing a Federated GraphQL ...

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How much do data integration jobs pay per hour?

As of Jun 24, 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 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 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 is the highest paying job in data?

In data-related fields, executive roles such as Chief Data Officer (CDO) or Chief Data Scientist tend to be the highest paying, often earning six-figure salaries or more depending on the industry and company size. These roles require extensive experience, leadership skills, and expertise in data strategy, governance, and analytics tools.

Is AI replacing data entry jobs?

AI is automating many data entry tasks by using tools like optical character recognition (OCR) and machine learning algorithms, which can increase efficiency and reduce manual labor. However, data entry jobs that require judgment, accuracy, and handling complex or unstructured data still rely on human workers, and many roles involve oversight and validation of AI outputs.

What does data integration work?

Data integration work involves combining data from different sources into a unified view to support analysis, reporting, or operational processes. Data integration specialists use tools like ETL (Extract, Transform, Load) software and SQL to ensure data consistency, accuracy, and accessibility across systems. This role often requires knowledge of databases, scripting, and data management best practices.

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.

Is data integration a good career?

Data integration is a viable career path involving combining data from different sources to ensure consistency and accessibility. It requires skills in database management, ETL tools, and programming languages like SQL or Python, with opportunities in various industries such as finance, healthcare, and technology. The role often offers steady demand and potential for advancement as organizations increasingly rely on integrated data systems.
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Data Integration jobs near you
Infographic showing various Data Integration job openings in the United States as of June 2026, with employment types broken down into 2% As Needed, 60% Full Time, 34% Part Time, 1% Temporary, 2% Contract, and 1% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $107,501 per year, or $51.7 per hour.
Data Integration

Data Integration

RIT Solutions

Dallas, TX • On-site

Other

Posted 11 hours ago

Job description

Data Integration Consultant

Location: Hybrid downtown Chicago or Dallas Texas (local only)

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.

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