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Data Quality Jobs in Texas (NOW HIRING)

Archgroup

Claims Data Quality Analyst

Dallas, TX · Hybrid

$75K - $95K/yr

Determine root cause for data quality errors and make recommendations for long-term solutions * Determine business impact level for data quality issues * Collaborate and maintain cross-functional ...

Archgroup

Claims Data Quality Analyst

Dallas, TX · Hybrid

$75K - $95K/yr

Determine root cause for data quality errors and make recommendations for long-term solutions * Determine business impact level for data quality issues * Collaborate and maintain cross-functional ...

Jobtailor

QA Lead - Data & Pipeline Quality

Austin, TX · On-site

$110 - $160/hr

Own and evolve the end-to-end QA strategy for data pipelines, ETL/ELT workflows, and financial data integrations * Design and implement scalable test frameworks covering data validation, schema ...

TEKFORTUNE INC

Data Engineer Quality Engineer

Dallas, TX · On-site

$113K - $136K/yr

They are seeking a Data Engineer Quality Engineer to ensure the reliability and performance of data platforms and pipelines, focusing on validating data workflows built on AWS, Kafka, SQL, and Python.

McDaniel Metals LLC

Quality Data Analyst

Houston, TX · On-site

$20 - $25/hr

The Quality Data Analyst is responsible for collecting, analyzing, and reporting key quality metrics to drive data-based decision making across operations. This role owns the tracking and ...

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All JobsData Quality JobsData Quality Jobs in Texas

Data Quality information

See Texas salary details

$15

$38

$66

How much do data quality jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for data quality in Texas is $38.60, according to ZipRecruiter salary data. Most workers in this role earn between $25.96 and $50.62 per hour, depending on experience, location, and employer.

Is data quality a good career?

Data quality is a valuable career path involving ensuring the accuracy, consistency, and reliability of data within organizations. Professionals in this field often work with data management tools, perform audits, and may pursue certifications like Certified Data Management Professional (CDMP). It offers opportunities across industries such as finance, healthcare, and technology with steady demand for skilled data quality specialists.

What are the key skills and qualifications needed to thrive in a data quality position, and why are they important?

To thrive in a Data Quality role, you need expertise in data analysis, attention to detail, knowledge of data governance, and often a bachelor's degree in a related field such as computer science or information systems. Familiarity with tools like SQL, data profiling software, and data quality management platforms, as well as certifications like CDMP (Certified Data Management Professional), is highly valued. Strong problem-solving abilities, effective communication, and a collaborative mindset help professionals excel in this position. These skills are crucial for ensuring accurate, reliable data that supports business decision-making and overall organizational efficiency.

What is a data quality?

A Data Quality job involves ensuring that data is accurate, consistent, and reliable for business use. Professionals in this role develop and enforce data quality standards, identify and resolve data discrepancies, and implement processes for data validation and cleansing. They often work with databases, data governance frameworks, and analytics teams to maintain high-quality data. This role is essential for organizations relying on data-driven decisions, as poor data quality can lead to incorrect insights and inefficiencies.

What are the typical challenges faced by someone working in a data quality role?

Professionals in Data Quality roles often encounter challenges such as identifying inconsistent data sources, addressing missing or inaccurate data, and maintaining data standards as systems and business requirements evolve. Working closely with IT, data analysts, and business stakeholders, Data Quality specialists must resolve data discrepancies while balancing the need for accuracy with project deadlines. These challenges require excellent analytical and troubleshooting skills, as well as the ability to communicate data issues clearly across teams. Overcoming these hurdles is key to ensuring data-driven decisions are based on trustworthy information.

What are the most commonly searched types of Data Quality jobs in Texas? The most popular types of Data Quality jobs in Texas are:
What are popular job titles related to Data Quality jobs in Texas? For Data Quality jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Data Quality jobs in Texas look for? The top searched job categories for Data Quality jobs in Texas are:
What cities in Texas are hiring for Data Quality jobs? Cities in Texas with the most Data Quality job openings:
Data Quality jobs near you
Infographic showing various Data Quality job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 15% Part Time, 4% Contract, and 1% Nights. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution, with an average salary of $80,297 per year, or $38.6 per hour.

Senior Business Data Quality Analyst

Indotronix International Corporation

Austin, TX • On-site

$70 - $80/hr

Contractor

Re-posted 14 hours ago

Job description

Payrate:$70-80/Hr
 
Overview
The Worker will serve as a senior business data quality analyst and a critical liaison between technical IT and non-technical program staff working with complex technical data sources across the Health and Human Services (HHS) departments and agencies. This role empowers HHS staff to effectively determine data profiles and quality measures for developing agency analytical reporting and strategic decision-making. The ideal candidate has strong analytical and SQL skills, a deep understanding of HHS programs and data, strong history of data profiling across HHS data domains, with exceptional communication abilities to bridge the gap between technical data systems and operational users in the emerging context of AI.
 Responsibilities
•       Strategic Liaison and Translation
  • Work with program areas, project sponsor and system SMEs to understand data domains and common data quality issues.
  • Explain technical findings and data limitations in simple, non-technical language to end-users.
•       Data Reporting and Visualization
  • Extract, integrate, and analyze sample data from multiple complex internal and external sources to support HHS analytics needs.
  • Collaborate with end-users and performance analysts or IT internal leaders to create visualizations showing data quality profiles for constantly emerging analytics needs.
  • Provide subject matter expertise on validating output from AI, particularly with respect to identifying and mitigating hallucinations.
  • Ensure all data outputs adhere to agency reporting standards, data governance, and compliance regulations.
•       Data Literacy and Training
  • Champion data quality literacy across the organization by developing and conducting training sessions for non-technical staff.
  • Create clear, comprehensive documentation and tutorials on using glossary tools for data synthesis.
  • Promote a data-driven culture by enabling and empowering all employees to effectively utilize data profiling tools and AI.
•       Collaboration and Problem-Solving
  • Work closely with data engineering, IT, and Program teams to troubleshoot data-related issues and address inconsistencies and mitigation strategies.
  • Provide expert guidance to program staff on interpreting data trends and answering complex data questions.
  • Stay up to date on new AI and data quality tools and techniques to continuously improve data analytics, data quality and reporting.
•       AI Prompting and Data Synthesis
  • Develop and refine effective AI prompts and query strategies to retrieve and synthesize data accurately from complex data domains.
  • Guide non-technical users in crafting precise prompts to get the data they need, ensuring fidelity and accuracy.
  • Develop a library of standardized prompts and query templates for common reporting needs.
CANDIDATE SKILLS AND QUALIFICATIONS
 
Minimum Requirements:
Candidates that do not meet or exceed the minimum stated requirements (skills/experience) will be displayed to customers but may not be chosen for this opportunity.
Years Required/Preferred      Experience
8     Required    Experience gathering business requirements and translating complex data acquisitions and operational requirements into clear, actionable access paths for data profiling for                                   complex analytics
8     Required    Experience explaining technical findings and data limitations in simple, non-technical language to end-users and leadership.
8     Required    Experience in a complex data analysis, senior business/systems analyst, and/or data liaison role.
8     Required    Strong experience with SQL for data extraction, data profiling, manipulation and enrichment.
8     Required    Experience collaborating with end-users and performance analysts or IT internal leaders to create and validate data profiles  for analytics development and business data                                        lineage analysis.
8     Required    Excellent communication, presentation, and interpersonal skills.
5     Preferred   Experience with Business Intelligence/Data Warehouse
5     Preferred   Experience acting as the primary point of contact for program staff with data profiling needs for analytics projects
5     Preferred   Experience working in a health and human services or similarly regulated environment, with a strong understanding of agencydata domains.
5     Preferred   Experience with data governance and data quality principles
5     Preferred   Experience with data profiling tools such as Snowflake Cortex or Toad
2     Preferred   Experience championing data literacy across the organization
2     Preferred   Experience training and mentoring staff with varying levels of data literacy.
1     Preferred   Experience with AI prompt development
Indotronix logo

About Indotronix

Sourced by ZipRecruiter

In 1986, Indotronix established itself in the staffing space. 22 years later, Avani entered the scene, offering consulting and technology development. Finally, in 2016, the two joined forces to begin delivering talent across all areas, from Staffing to Consulting to unique platform development.

Industry

Recruiting and staffing services

Company size

1,001 - 5,000 Employees

Headquarters location

Rochester, NY, US

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