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Data Integration Jobs (NOW HIRING)

JLL

Data Integration Specialist

Dallas, TX · On-site

Data Integration Specialist Find your next move at JLL and build a fulfilling career At JLL, we value what makes you unique, and we're committed togiveyou the opportunity, knowledge and tools to own ...

JLL

Data Integration Specialist

Chicago, IL

Data Integration Specialist Find your next move at JLL and build a fulfilling career At JLL, we value what makes you unique, and we're committed togiveyou the opportunity, knowledge and tools to own ...

Sonsoft Inc

MS Data Integration

New York, NY · On-site

Primary Skill Microsoft Data Integration Tools Qualifications * Bachelor's degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive ...

My3Tech Inc

Data Integration Architect

Data Integration Architect Location: 100% remote (has to sit in AL, DE, FL, GA, IN, MS, MI, NV, NC, OK, SC, VA, WY) Role Type: Contract 12+ months Candidates must be able to work without sponsorship ...

My3Tech Inc

Data Integration Architect

Data Integration Architect Location: 100% remote (has to sit in AL, DE, FL, GA, IN, MS, MI, NV, NC, OK, SC, VA, WY) Role Type: Contract 12+ months Candidates must be able to work without sponsorship ...

My3Tech Inc

Data Integration Architect

Data Integration Architect Location: 100% remote (has to sit in AL, DE, FL, GA, IN, MS, MI, NV, NC, OK, SC, VA, WY) Role Type: Contract 12+ months Candidates must be able to work without sponsorship ...

Sonsoft Inc

MS Data Integration

New York, NY · On-site

Primary Skill Microsoft Data Integration Tools Qualifications Basic Qualifications :- * Bachelor's degree or foreign equivalent required from an accredited institution. Will also consider three years ...

My3Tech Inc

Data Integration Architect

Data Integration Architect Location: 100% remote (has to sit in AL, DE, FL, GA, IN, MS, MI, NV, NC, OK, SC, VA, WY) Role Type: Contract 12+ months Candidates must be able to work without sponsorship ...

New

Caris Life Sciences

OR

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 ...

My3Tech Inc

Data Integration Architect

Data Integration Architect Location: 100% remote (has to sit in AL, DE, FL, GA, IN, MS, MI, NV, NC, OK, SC, VA, WY) Role Type: Contract 12+ months Candidates must be able to work without sponsorship ...

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Data Integration information

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How much do data integration jobs pay per hour?

As of Jun 25, 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 Engineer

Futran Tech Solutions Pvt. Ltd.

Sunnyvale, CA • On-site

Other

Posted 5 days ago

Job description

Job Title: Data Integration Engineer
Location: Sunnyvale, CA (Onsite)
Job Description:
Essentially data engineer with strong GEO (Generative Engine Optimization) experience.
  • Design, build, and maintain scalable data pipelines to ingest, transform, and serve data for Generative Engine Optimization workflows
  • Integrate data from multiple third-party vendors and external sources to support Generative Engine Optimization initiatives
  • Ensure data quality, schema validation, and consistency across all data sources feeding into Generative Engine Optimization models
  • Build and maintain API extraction scripts to pull data from internal and external sources relevant to Generative Engine Optimization
  • Develop reusable API connectors with proper authentication, rate limiting, and error handling
  • Liaise with business teams to gather requirements, understand Generative Engine Optimization use cases, and translate them into technical solutions
  • Write Python scripts to automate data extraction, transformation, and loading processes in support of Generative Engine Optimization pipelines
  • Apply working knowledge of LLMs and prompt engineering to enhance Generative Engine Optimization outcomes
  • Assist in evaluating and testing LLM outputs and AI-generated responses against Generative Engine Optimization benchmarks and quality metrics
  • Document all data workflows, pipeline designs, and integration patterns for team knowledge sharing

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