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Data Integration Analyst Jobs in Dallas, TX (NOW HIRING)

Tier4 Group

Data Integration Specialist

Dallas, TX

Analyze, troubleshoot, and optimize integration workflows, identifying and resolving performance bottlenecks. * Maintain technical documentation, including data mappings, workflows, configurations ...

McKesson

Senior FHIR Mapping & Integration Analyst

Irving, TX · On-site +1

$108K - $181K/yr

The Senior FHIR Mapping & Integration Analyst plays a critical role in designing, implementing, and ... Analyze healthcare data from EHRs, payer systems, and HL7 v2 feeds and map to FHIR R4 resources and ...

McKesson

Senior FHIR Mapping & Integration Analyst

Irving, TX · On-site +1

$108K - $181K/yr

The Senior FHIR Mapping & Integration Analyst plays a critical role in designing, implementing, and ... Analyze healthcare data from EHRs, payer systems, and HL7 v2 feeds and map to FHIR R4 resources and ...

JLL

Data Integration Specialist

Dallas, TX · On-site

Data IntegrationSpecialist The successful candidate will leverage their expertise in data analysis, REST APIs, and integrations by managing all aspects of discovery and dataintegrationsto support ...

Jack Henry & Associates

Data Engineer II

Allen, TX · On-site

$106K - $127K/yr

This role is responsible for designing, developing, modernizing, and supporting enterprise data integration solutions that power operational processes, analytics, reporting, machine learning, and ...

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All JobsData Integration Analyst JobsData Integration Analyst Jobs in Dallas, TX

Data Integration Analyst information

See Dallas, TX salary details

$20.9K

$87.7K

$165.4K

How much do data integration analyst jobs pay per year?

As of Aug 7, 2026, the average yearly pay for data integration analyst in Dallas, TX is $87,672.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,100.00 and $110,800.00 per year, depending on experience, location, and employer.

What does a data integration analyst do?

As a data integration analyst, you perform a variety of duties related to improving and normalizing data. Your job duties include scrubbing data, writing testing scripts, performing quality control on data and data storage, and enabling data access. You ensure all computer programs are able to integrate collected data. A career as a data integration analyst requires you have some formal qualifications and education, typically at least a bachelor’s degree in information technology (IT) or a related field. You should have some prior work experience in IT, strong analytical problem-solving skills, and excellent attention to detail.

What is the difference between Data Integration Analyst vs Data Engineer?

AspectData Integration AnalystData Engineer
Required SkillsData analysis, SQL, ETL tools, data mappingProgramming (Python, Java), database architecture, data pipeline development
CertificationsSQL certifications, data management certificationsCloud certifications (AWS, GCP), programming certifications
Work EnvironmentBusiness intelligence teams, data analysis departmentsData engineering teams, software development environments
Industry UsageFinance, healthcare, retailTechnology, finance, large-scale data platforms

While both roles involve working with data, Data Integration Analysts focus on consolidating and analyzing data from various sources using ETL tools and SQL. Data Engineers build and maintain the infrastructure and pipelines that enable data flow across systems. The roles often collaborate but differ in technical depth and scope.

What is a data integration analyst?

A Data Integration Analyst is a professional who specializes in combining data from different sources to create a unified view for analysis and reporting. They work with various databases, applications, and data formats to ensure information flows seamlessly across systems. Their role often includes designing and maintaining data pipelines, troubleshooting integration issues, and ensuring data quality and consistency. Data Integration Analysts play a key role in helping organizations make informed decisions by providing accurate and comprehensive data.

What are some common challenges faced by data integration analysts when working with disparate data sources?

Data Integration Analysts often encounter challenges such as inconsistent data formats, varying data quality, and incomplete documentation across different systems. Collaborating with IT, business stakeholders, and external vendors to understand source data and resolve discrepancies is a frequent part of the job. Managing these complexities requires strong problem-solving skills, attention to detail, and effective communication to ensure accurate and efficient data integration.

What are the key skills and qualifications needed to thrive as a data integration analyst, and why are they important?

To thrive as a Data Integration Analyst, you need strong analytical skills, proficiency in data modeling, and a solid understanding of database systems, often supported by a degree in computer science or a related field. Familiarity with ETL tools (such as Informatica or Talend), SQL, and data integration platforms is typically required, as well as knowledge of APIs and data warehousing solutions. Attention to detail, problem-solving abilities, and effective communication are valuable soft skills that help in collaborating with diverse teams and stakeholders. These competencies are crucial for ensuring seamless data flow, accurate reporting, and strategic decision-making within organizations.
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Data Integration Analyst jobs near you
Infographic showing various Data Integration Analyst job openings in Dallas, TX as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $87,672 per year, or $42.1 per hour.

Data Integration & Automation Analyst

US Neurology Associates

Frisco, TX

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted yesterday

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Job description

DATA INTEGRATION & AUTOMATION ANALYST

Texas Institute for Neurological Disorders / US Neurology Associates
Department: Technology / Operations
Schedule: Full-Time, Monday–Friday
Location: On-Site, Plano / Frisco

The Data Integration & Automation Analyst is responsible for designing, building, and maintaining the technology infrastructure that supports Texas Institute for Neurological Disorders (TIND) and US Neurology Associates (USNA). This role improves organizational efficiency by integrating systems, automating repetitive processes, developing scalable data pipelines, and implementing technology solutions that enable better decision-making across the organization.

Working closely with Operations, Revenue Cycle, Finance, Marketing, Clinical Leadership, and Business Intelligence, this hands-on technical role develops practical solutions that eliminate manual work, improve data quality, and support USNA's continued growth and acquisition strategy.

KEY RESPONSIBILITIES

Systems Integration

  • Design, build, and maintain integrations between clinical, financial, operational, marketing, and third-party business systems.
  • Develop SQL-based workflows and scalable data pipelines.
  • Build and maintain APIs and secure data exchanges.
  • Monitor integrations, troubleshoot failures, and improve reliability.
  • Develop scalable integration architecture that supports organizational growth.

Workflow Automation

  • Identify manual business processes that can be improved through automation.
  • Design and implement automated workflows.
  • Automate recurring reports, file transfers, notifications, and operational processes.
  • Develop sustainable automation solutions that reduce manual effort and improve productivity.
  • Monitor and optimize automated workflows.

Internal Application Development

  • Develop lightweight internal applications, scripts, utilities, and workflow tools.
  • Translate business requirements into scalable technical solutions.
  • Prototype, test, implement, and support internally developed applications.
  • Maintain technical documentation and support procedures.

Artificial Intelligence & Emerging Technology

  • Evaluate AI and intelligent automation solutions.
  • Prototype AI-powered workflows and assistants.
  • Identify responsible AI opportunities across the organization.
  • Help establish best practices for AI adoption.

Acquisition & System Integration

  • Support onboarding of newly acquired physician practices.
  • Assist with technology assessments during acquisition due diligence.
  • Develop repeatable integration playbooks.
  • Standardize technology and reporting across acquired practices.

Data Quality & Governance

  • Resolve enterprise data quality issues.
  • Develop validation processes that improve data accuracy.
  • Maintain documentation of integrations and data flows.
  • Support enterprise data governance.

Cross-Functional Partnership

  • Partner with Operations, Revenue Cycle, Finance, Marketing, Clinical Leadership, and Business Intelligence.
  • Translate operational challenges into practical technology solutions.
  • Communicate technical concepts clearly to business stakeholders.
  • Collaborate with vendors and internal teams to prioritize high-impact initiatives.

QUALIFICATIONS

Required

  • Bachelor's degree in Computer Science, Information Systems, Data Engineering, Software Engineering, Data Analytics, or a related field.
  • Minimum 3 years of systems integration, automation, or data engineering experience.
  • Strong SQL, API integration, relational database, and scripting experience.
  • Strong analytical, troubleshooting, documentation, and communication skills.
  • Ability to work independently in a fast-paced environment.

Preferred

  • 5+ years of relevant experience for Senior Analyst consideration.
  • Healthcare experience, including eClinicalWorks or a similar EMR.
  • Power BI, cloud platforms, AI automation, and HL7/FHIR experience.
  • Experience supporting acquisitions and system integrations.

SUCCESS FACTORS

  • Reliable enterprise integrations supporting business operations.
  • Reduced manual work through automation.
  • Improved data quality and system reliability.
  • Successful technology integration of acquired practices.
  • AI and automation solutions that improve organizational efficiency.

COMPENSATION & BENEFITS

Salary Range: Commensurate with experience
Benefits: Medical, dental, vision, PTO, and 401(k)
Employment Type: Full-Time

Texas Institute for Neurological Disorders / US Neurology Associates is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, or protected veteran status.