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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 ...

AlgoLeap

Data & Integration Developer

Dallas, TX · On-site

Monitor active integration pipelines, conductroot-cause analysis on performance bottlenecks or ... Experience: Minimum of 5 years of professional experience in data engineering, datapipeline ...

JLL

Data Integration Specialist

Dallas, TX

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 and 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 6, 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 Analyst with sql -- In person Interview

MASH Pro Tech

Dallas, TX • On-site

Other

Re-posted yesterday

Job description

Technical Data Integration Analyst F2F interview 

Key Skills - More data & SQL, Good Communication, Ownership Key Responsibilities Data Sourcing & Ingestion Strategy: Act as the primary owner for bringing in new data. Identify, evaluate, and profile new internal and external data sources to support business objectives and Pega decisioning. Agile Collaboration & Story Grooming: Partner closely with the SOI and Pega engineering teams. Translate data requirements into technical user stories, manage the data backlog, and lead grooming sessions to ensure smooth data integration into Pega. Data Quality & Issue Resolution: Serve as the first line of defense for data integrity. Monitor ongoing data quality, investigate anomalies when stakeholders raise questions, and triage data defects. Analytics & Query Support: Support the business and SOI teams with basic data analytics. Write queries to pull sample data, size opportunities, and answer ad-hoc questions about data availability and behavior. Data Library & Governance: Build and maintain the centralized data library (data dictionary/catalog). Ensure all Pega data elements are properly defined, tagged, and documented for cross-functional use. Required Experience 3-5+ years in Data Analysis, Technical Business Analysis, or Data Product Ownership. Proven experience working in an Agile/Scrum environment, specifically writing and grooming technical user stories for data engineering or CRM teams. Demonstrated experience establishing data quality checks and investigating data discrepancies. Background in creating data dictionaries, data lineage documentation, or working within data governance frameworks Required Skills Technical / Analytical: Proficiency in SQL to query complex databases, profile new data, and answer basic analytics questions. Familiarity with basic BI tools (Tableau, PowerBI) is a plus. Agile Tools: Expert in Jira for managing backlogs and writing stories. Data Concepts: Strong understanding of ETL/ELT processes, API integrations, relational databases, and data structures. Communication: Exceptional ability to translate complex technical data concepts into clear business language and vice versa.

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