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Data Quality Jobs in Spring, TX (NOW HIRING)

As Data QC/Data Processor you will be responsible in inspecting the quality of raw data by analyzing observer logs compiled by data acquisition crews using a series of employer's propriety software ...

Qualifications for the role: * 2+ years of relevant experience (quality operations, data coordination, business analytics, or similar field) * Strong organizational and data documentation skills;

Data Modeler

Spring, TX · On-site

$46.25 - $60/hr

Ensure processes to monitor data quality of data domains are established for all inflight 'use cases' * Coordinate with the business capability and/or use case to review data quality, data ...

The role focuses on improving data quality, consistency, and reporting accuracy within SAP systems. Key Responsibilities: Perform SAP master data cleanup (Customer, Vendor, Material Master) Identify ...

Data Engineer

Houston, TX · On-site

$109.30K - $131.30K/yr

Data Quality, Reliability & Operations * Identify, troubleshoot, and resolve data issues including data quality, integrity, latency, and security concerns; apply monitoring and operational best ...

Establish and maintain data quality assurance protocols to ensure reporting accuracy and reliability. * Define, configure, update, and track Key Performance Indicators (KPIs) related to ...

Establish and maintain data quality assurance protocols to ensure reporting accuracy and reliability. * Define, configure, update, and track Key Performance Indicators (KPIs) related to ...

Focused on Data Validation * Strong SQL skills * Any tools for data quality/ validation ... Experience with data visualization tools helpful but not required: PowerBI, Tableau, & Cognos

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Data Quality information

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How much do data quality jobs pay per hour?

As of Jun 1, 2026, the average hourly pay for data quality in Spring, TX is $36.87, according to ZipRecruiter salary data. Most workers in this role earn between $24.81 and $48.37 per hour, depending on experience, location, and employer.

What is a Data Quality job?

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 key skills and qualifications needed to thrive in the 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 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 is the QA analyst salary?

The salary for a QA analyst typically ranges from $50,000 to $80,000 annually, depending on experience, location, and industry. Entry-level positions may start lower, while experienced analysts with certifications or specialized skills can earn higher wages.
What are popular job titles related to Data Quality jobs in Spring, TX? For Data Quality jobs in Spring, TX, the most frequently searched job titles are:
What job categories do people searching Data Quality jobs in Spring, TX look for? The top searched job categories for Data Quality jobs in Spring, TX are:
What cities near Spring, TX are hiring for Data Quality jobs? Cities near Spring, TX with the most Data Quality job openings:
Infographic showing various Data Quality job openings in Spring, TX as of May 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $76,698 per year, or $36.9 per hour.

EDQ (Enterprise Data Quality) Consultant

Group Nine LLC

Houston, TX

Other

Posted 24 days ago


Job description

EDQ (Enterprise Data Quality) Consultant

We are seeking a highly skilled and experienced EDQ (Enterprise Data Quality) Consultant to join our team. The successful candidate will be responsible for implementing and managing data quality solutions, providing technical expertise, and ensuring the delivery of high-quality data management services to our clients. This role involves working closely with various stakeholders to understand their data requirements, developing, and implementing data quality strategies, and providing ongoing support and maintenance.

Responsibilities
  • Implement and configure Oracle EDQ as per the client's requirements.
  • Design and manage data models to support business processes.
  • Ensure the quality of data by implementing data management principles and practices.
  • Provide consulting services to clients on data management, data modelling, and Oracle EDQ.
Required Skills
  • Data Management: The candidate must have a strong understanding of data management principles, including data architecture, data quality management, and data governance.
  • Data Modelling and Design: The candidate should have experience in data modelling and design, including the ability to create and manage complex data models.
  • Oracle EDQ: The candidate must have proficiency in Oracle Enterprise Data Quality (EDQ), including its implementation, configuration, and maintenance.
  • A bachelor's degree in computer science, Information Systems, or a related field is required, with a master's degree preferred.
Preferred Skills
  • Consulting: Experience in providing consulting services, preferably in the field of data management.
  • Data Engineering: Knowledge of data engineering principles and practices, including data integration, data warehousing, and data pipeline development.
  • Database Administration: Experience in database administration, including database design, implementation, and maintenance.
  • Oracle EDM: Familiarity with Oracle Enterprise Data Management (EDM) would be a plus.
  • Syndigo MDM: Experience with Syndigo Master Data Management (MDM) would be beneficial.
  • Oracle CDM: Knowledge of Oracle Customer Data Management (CDM) would be an advantage.
  • Reltio: Familiarity with Reltio, a modern data management Platform as a Service (PaaS), would be a plus.
  • Project Management: Experience in managing data-related projects, including planning, execution, and monitoring.
  • Communication Skills: Strong verbal and written communication skills.
  • Problem-Solving Skills: Ability to solve complex data-related problems.