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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 ...

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 ...

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

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 Quality & Data Trust * Define and manage enterprise data quality strategies, metrics ... scorecards, and continuous improvement initiatives. * Establish data quality monitoring processes ...

Data Architect

Bellaire, TX · On-site

$57.25 - $73.75/hr

The Data Architect''''s role is to ensure high level of data quality across the enterprise through the creation and management of sound data management processes. This individual is responsible for ...

Data Entry & Quality Control

Houston, TX

$15.75 - $19/hr

Quality Control Coordinators will be responsible for administering the data quality control process, which will include tracking & verifying voter registration and canvassing data that is provided by ...

Data Entry & Quality Control Hot Job Houston, TX 77040 Overview Salary Range $55,000.00 - $55,000.00 Salary/year Position Type Seasonal Description THE ORGANIZATION: Mi Familia Vota (MFV), the Latinx ...

Data Engineer

Houston, TX · On-site +1

$95K - $130K/yr

The role plays a critical part in ensuring data quality, reproducibility, and traceability so that scientific outputs can be translated into trusted, credit-grade results with real-world impact.

Data Engineer

Houston, TX · On-site

$109K - $131K/yr

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

Data Engineer

Houston, TX · On-site

$95K - $130K/yr

The role plays a critical part in ensuring data quality, reproducibility, and traceability so that scientific outputs can be translated into trusted, credit-grade results with real-world impact.

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Data Quality information

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How much do data quality jobs pay per hour?

As of Jul 12, 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.

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.

Is 40 too late for data science?

Data science is a field open to professionals of all ages, and starting at 40 is not too late. Success depends on acquiring relevant skills such as programming, statistics, and tools like Python or R, along with practical experience. Many individuals transition into data science later in their careers and find opportunities based on their expertise and continuous learning.

What is the highest paying data job?

The highest paying data jobs often include Data Science Director, Chief Data Officer, or Data Engineering Manager roles, which can earn six-figure salaries or higher depending on experience, industry, and location. These positions typically require advanced skills in data analysis, machine learning, and leadership, along with relevant certifications or degrees.

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 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 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 a data quality job?

A data quality job involves ensuring the accuracy, completeness, consistency, and reliability of data within an organization. Professionals in this role often use tools like data profiling and validation software, and may hold certifications such as Certified Data Management Professional (CDMP). The work typically requires attention to detail and understanding of data governance standards.
What are the most commonly searched types of Data Quality jobs in Spring, TX? The most popular types of Data Quality jobs in Spring, TX are:
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 July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 15% Part Time, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $76,698 per year, or $36.9 per hour.
Enterprise Steward, Data Quality

Enterprise Steward, Data Quality

LyondellBasell

Houston, TX • On-site

Other

Posted 2 days ago

New


LyondellBasell rating

8.0

Company rating: 8.0 out of 10

Based on 42 frontline employees who took The Breakroom Quiz

33rd of 92 rated chemical manufacturers


Job description

LyondellBasell is a leader in the global chemical industry creating solutions for everyday sustainable living. With a nearly 70-year legacy that includes a Nobel Prize in Chemistry and our proprietary MoReTec recycling technology, LYB is enabling a more sustainable future for generations to come.  LYB develops high-quality and innovative products for applications ranging from sustainable transportation and food safety to clean water and quality healthcare. LYB places high priority on diversity, equity and inclusion and is Advancing Good with an emphasis on our planet, the communities where we operate and our future workforce. We're addressing the global challenges of ending plastic waste, taking climate action, and supporting a thriving society, while generating value for our customers, investors, and society.

Come Join an Inclusive Team

Enterprise Data Steward Data Quality (DQ) is responsible for establishing and implementing a data quality and program management framework, driving consistent requirements around data quality, data standards, access, and utilization, and promoting processes that improve and sustain high data quality across the portfolio.

This is an individual contributor, team leader role that will influence across multiple departments and function as an advisory role reporting to the Director, Enterprise Master Data Governance. This role is part of the Enterprise Data Governance Team (DGT), working together with data stewards from across other domains. The DGT will collectively be responsible for implementing (directly and through influence) cross-functional data governance processes and standards across all master data domains.

This inaugural role will be pivotal in developing the Enterprise Data Quality Roadmap, master data governance requirements and best practices, the development of the OE structure and documents, and the global roll-out and adoption of the developed policies, requirements, and best practices, including training, support, and advisement. Additionally, this role will be critical to the development and execution of the assurance and sustainment processes required to achieve excellence in master data stewardshi

A Day in the Life
  • Advise the Director of Enterprise Data Governance and Leadership regarding data quality processes, tools, improvement recommendations, strategies, opportunities, and threats.
  • Develop and drive process and data quality improvements.
    • Deployment and adoption of data quality requirements and best practices
    • Map out roles and responsibilities related to data quality governance across all domains.
    • Build data quality improvement strategies and assist with business functions as needed regarding management of resources, budget, and data quality improvement execution.
    • Identify data quality gaps and deliver solutions for data governance process design or redesign efforts and be accountable for their successful implementation.
    • Develop meaningful KPIs on data quality improvement, sustainment, and the data quality program to effectively monitor the impacts of governance processes in driving desired data quality and consistency outcomes.
    • Day-to-day management and ownership of Enterprise Data Governance quality processes, requirements, and project portfolio management.
  • Active project team participation regarding master data quality projects and initiatives.
  • Collaboratively support and influence the M&A business/operational data teams; IT /digital technical teams; project teams, and data owners to adopt and embed the established data governance standards and policies into the operational or technical aspects. This includes-
    • dentifying data quality issues, mapping data owners, building roadmaps and a decision-making framework.
    • Establishing data quality standards for the domains and aligning on master data RACI across domains
    • Identifying the tools and technology needed to support the implementation process and ongoing sustainability.
  • Collaborates with the Global Process Owner organization and Data Quality teams to influence the implementation /formalization of appropriate KPIs and measurement systems that track progress on desired data quality outcomes and effectiveness assurance of governance processes within the finance domain and mitigate adverse impacts across end-to-end business processes.
  • Actively participate in all assessments and audits regarding master data and support closure of findings or recommendations.
  • Drive continuous improvement of existing procedures and protocols around data quality management operations.
You Bring This Value
  • Bachelor's degree or equivalent experience in Business Administration, Computer Science, Information Systems, Engineering, Finance, or 8 years equivalent experience leading data-related projects in the field.
  • 10+ years of total experience with 5+ years of management or leadership experience or Data-related experience in an international environment
  • Leadership at the manager/Senior Analyst / Project-owner level in a large, complex global organization with responsibilities for people, processes, resources, and results
  • Recognized within the data field/process area as knowledgeable, credible, and trusted partners regarding Master Data and the interdependencies on processes and systems.
  • Expertise in business, data, or systems processes, with strong cross-organizational credibility
  • Solid understanding of data quality, metadata and impacts of changes, complemented with strong knowledge of business requirements and data needs within the finance domain.
  • Strong leadership, influencing and communication skills plus the ability to manage/drive multiple diverse perspectives/projects and drive stakeholder alignment.
  • Display effective decision-making capabilities.
  •  
  • Proven excellence in process management skills as well as an understanding of how master data impacts processes and business solutions
  • Broad experience and understanding of systems/SAP disciplines, standards, and best practices.
Competencies
Build Partnerships
Deliver Results
Drive Innovation
Grow Capabilities
Promote Inclusion
Motivational Fit
Technical Skills

Learn more about our benefits:  Benefits/Health & Welfare | LyondellBasell

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    LyondellBasell is an equal opportunity employer.  We evaluate qualified applicants without regard to race, color, religion, sex (including pregnancy), sexual orientation, gender identity, national origin, disability, age, veteran status, and other legally protected characteristics.  The US EEO is the Law poster is available here.
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