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Data Integration Analyst Jobs in Texas (NOW HIRING)

SourceDay, Inc.

Data Integration Engineer

Austin, TX · On-site

$113K - $136K/yr

Studies data sources by interviewing customers; defining, analyzing, and validating data objects; identifying the relationship among data objects. * Plans data integration process by developing ...

JLL

Data Integration Specialist

Austin, 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 ...

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 ...

SourceDay, Inc.

Data Integration Engineer

Austin, TX · On-site

$113K - $136K/yr

Studies data sources by interviewing customers; defining, analyzing, and validating data objects; identifying the relationship among data objects. * Plans data integration process by developing ...

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All JobsData Integration Analyst JobsData Integration Analyst Jobs in Texas

Data Integration Analyst information

See Texas salary details

$19.6K

$82.2K

$155.1K

How much do data integration analyst jobs pay per year?

As of Jul 16, 2026, the average yearly pay for data integration analyst in Texas is $82,219.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,200.00 and $103,900.00 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.
More about Data Integration Analyst jobs
What are the most commonly searched types of Data Integration Analyst jobs in Texas? The most popular types of Data Integration Analyst jobs in Texas are:
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What job categories do people searching Data Integration Analyst jobs in Texas look for? The top searched job categories for Data Integration Analyst jobs in Texas are:
What cities in Texas are hiring for Data Integration Analyst jobs? Cities in Texas with the most Data Integration Analyst job openings:
What are popular job titles related to Data Integration Analyst jobs in TX? For Data Integration Analyst jobs in TX, the most frequently searched job titles are:
Data Integration Analyst jobs near you
Infographic showing various Data Integration Analyst job openings in Texas as of July 2026, with employment types broken down into 1% Internship, 86% Full Time, 7% Part Time, 1% Temporary, 4% Contract, and 1% Nights. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $82,219 per year, or $39.5 per hour.
Data Integration Engineer

Data Integration Engineer

SourceDay, Inc.

Austin, TX • On-site

$113K - $136K/yr

Full-time

PTO

Re-posted 9 days ago

Job description

Company Description
SourceDay is the leading cloud-based software solution that automates the purchase order management process. By seamlessly integrating with ERP systems, SourceDay extends purchasing capabilities by centralizing and managing the PO lifecycle for buyers and suppliers, eliminating manual processes while improving supplier performance.
Job Description
SourceDay specializes in bringing life to our customer's data through our proprietary transformations. These transformations are built, by folks like yourself, across an array of complex ecosystems. Through SourceDay's optimized subscribe and publish model you will have the opportunity to continue enhancing our data pipeline capabilities and onboard new customers at a quick pace. SourceDay needs someone who has the experience in developing data integrations of third-party solutions for various ERPs, like Epicor, Syteline, Microsoft NAV & GP, Visual, Intuitive, Acumatica, and NetSuite. Having worked with one or more of these ERPs is a significant bonus.
Do you like to:
  • Build APIs and Interfaces for others to consume data?
  • Bootstrap data pipelines to be self-sufficient and easily maintainable?
  • Take on big data challenges by applying your mastery of capturing, cleaning, storing, and securing the data you collect?
  • Take pride in your stewardship of the data you collect and the security, visualization, and queryability you are able to provide?

If you answered yes to all of these then you will enjoy being a part of the SourceDay's engineering team.
Qualifications
  • Studies data sources by interviewing customers; defining, analyzing, and validating data objects; identifying the relationship among data objects.
  • Plans data integration process by developing common definitions of sourced data; designing common keys in physical data structure; establishing data integration specifications; examining data applications; examining data models and data warehouse schema; determining best-fit data interchange methods; assessing middleware tools for data integration, transformation, and routing; developing project scope and specifications; identifying factors that negatively impact integration; forecasting resource requirements; establishing delivery timetables.
  • Delivers data integration by implementing shared databases; integrating data shared across legacy, new development, and purchased package environments; developing system modification specifications; mapping data; establishing interfaces; developing and modifying functions, programs, routines, and stored procedures to export, transform, and load data; meeting performance parameters; resolving and escalating integration issues; coordinating actions among users, operations staff, and outside vendors; recommending adjustments as objectives change; documenting operational procedures and data connections.
  • Validates data integration by developing and executing test plans and scenarios including data design, tool design, and data extract/transform.
  • Maintains data warehouse performance by identifying and resolving data conflicts; upgrading data definitions;
  • Improves data integration by designing and evaluating new data interchange formats; improving physical design; rewriting data policy, standards, and procedures;
  • Maintains team accomplishments by communicating essential information; coordinating actions; obtaining expert input; reviewing open issues and action items; contributing information to team meetings and reports; transferring knowledge of data integration process, techniques, and issues to application and support teams.

Requirements
  • Bachelor's degree in Computer Science or related field, or equivalent experience
  • Experience: 4-6 Years
  • Strong Analytical and problem-solving skills
  • Strong SQL and database knowledge
  • Good understanding of Data Governance and other Data Quality practices
  • Experience with leveraging and integrating data pipelines within AWS services jungle
  • General networking understanding
  • Installation and Configuration experience with various mid-to-Enterprise market ERP systems like Epicor, Syteline, Microsoft NAV & GP, Visual, Intuitive, Acumatica, and NetSuite
  • Hands-on experience building data processing pipelines (e.g, in Storm, Beam, Spark, Flink, Lambda)
  • Strong experience with object-oriented and/or functional languages (e.g. C#, Java, Scala, Go, Python)
  • Proficiency with metaprogramming languages (e.g. Ruby)
  • Deep understanding of relational as well as NoSQL data stores (e.g., Snowflake, Redshift, BigTable, Spark) and approaches
  • Strong experience in developing services within IIS and SQL Server Strong API development experience in building scalable services

Additional Information
Benefits
  • Unlimited Vacation
  • Onsite Workout Facility
  • Fully stocked kitchen
  • Taco Tuesdays for Breakfast and Donut/Kolache Thursdays

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