1

Data Quality Jobs (NOW HIRING)

Data Quality Specialist

Lancaster, CA · On-site

$23.08 - $24.30/hr

VOALA offers competitive medical, dental, vision and retirement benefits JOB SUMMARY AND PURPOSE The Data Quality Specialist willmaintain data for clients and families that have accessed the program.

The Data Quality Lead Expert is the senior technical authority responsible for the design, engineering, and continuous improvement of the technical implementation of the Data Quality Framework. As a ...

• Job Profile Data Quality Lead Analyst - C13 • The Information Services Group (ISG) within Client's Institutional Clients Group O&T (ICG O&T) organization is looking for a resource to join its ...

AIG is a global leader in commercial and personal insurance solutions, and they are seeking a detail-oriented Data Quality Analyst to support a strategic data quality initiative. This role is ...

Lead Data QA

Philadelphia, PA

$130K/yr

The Lead Data QA is responsible for defining and driving the overall Data Quality Assurance strategy for enterprise-scale data platforms. This role ensures that all data systems meet rigorous ...

Sr. Data Quality Engineer

Chicago, IL · On-site

$118K - $141K/yr

Data Quality Frameworks: Design and implement frameworks aligned to Lakehouse (bronze/silver/gold). * Validation & Rules: Define and enforce rules for completeness, accuracy, consistency, timeliness ...

Job Title - Sr. Informatica Data Quality Analyst Duration - 12+ Months Work Mode- Onsite Work Location- Euless, Tx Position Summary: We are seeking a Sr. Informatica Data Quality Analyst to serve as ...

Job Title:- Data QA Tester Location:- Philadelphia, PA (Hybrid) Duration:- 12+ months Description: Experience & Skills: * 8+ years in data QA/testing, with at least 5 years in a lead role. * Strong ...

New

The Data Quality team owns the standards, guidelines, and audit infrastructure that ensure our training data meets the bar our AI systems require. As we scale, a growing share of that work runs ...

Showing results 41-60

Data Quality information

See salary details

$16

$41

$71

How much do data quality jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for data quality in the United States is $41.44, according to ZipRecruiter salary data. Most workers in this role earn between $27.88 and $54.33 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.

More about Data Quality jobs
What cities are hiring for Data Quality jobs? Cities with the most Data Quality job openings:
What are the most commonly searched types of Data Quality jobs? The most popular types of Data Quality jobs are:
What states have the most Data Quality jobs? States with the most job openings for Data Quality jobs include:
Infographic showing various Data Quality job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 14% Part Time, 4% Contract, and 1% Nights. Highlights an 90% Physical, 1% Hybrid, and 9% Remote job distribution, with an average salary of $86,188 per year, or $41.4 per hour.

Membership Data Quality Analyst

American Association for Cancer Research

Philadelphia, PA • On-site

Full-time

Re-posted 11 days ago


Job description

Overview
The American Association for Cancer Research (AACR), with more than 60,000 members residing in 143 countries and territories, is the first and largest organization in the world dedicated to advances in all areas of high-quality, innovative cancer research. Its mission is to prevent and cure all cancers. The programs and activities of the AACR foster the exchange of new knowledge among scientists and physicians in the cancer field as well as in related biomedical sciences. AACR publishes ten peer-reviewed scientific journals and an award-winning magazine for cancer patients and their loved ones; convenes topical scientific conferences and an annual meeting with more than 22,000 scientists, clinicians, other health care professionals, cancer survivors, and patient advocates from more than 80 countries; offers educational workshops that train young investigators in a variety of scientific and clinical areas; funds fellowships, career development awards, and research grants for both senior and junior investigators; raises public awareness of the progress in and reasons for hope in the biology, detection, diagnosis, treatment, and prevention of cancer; engages actively in advocacy for increased federal research funding and other national policies that accelerate progress against cancer; and interacts with regulatory agencies to support regulatory science and policy.
Reporting to the Senior Manager, Membership Database Operations, the Data Quality Analyst is responsible for ensuring the accuracy, completeness, and reliability of membership data within the AACR system of record. This role is crucial in maintaining data integrity and identifying and resolving data quality issues. The Data Quality Analyst collaborates with various teams to establish data quality standards and supports implementation of processes that meet those standards.
Responsibilities
  • Data Quality Assessment: Evaluate the quality of data through data profiling, validation, and analysis. Identify and document data quality issues, anomalies, and inconsistencies.
  • Data Quality Standards: Define, recommend, and help establish data quality standards, guidelines, and best practices. Develop and maintain data quality rules and metrics to measure the accuracy, completeness, consistency, and timeliness of data.
  • Data Cleansing and Transformation: Collaborate with the IT department to design and execute data cleansing and transformation procedures. Implement data quality improvement initiatives to rectify identified issues.
  • Data Validation and Testing: Develop and execute data validation tests and procedures to ensure data accuracy and consistency. Perform regular audits and reconciliations to verify the integrity of data across systems and databases.
  • Issue Resolution: Investigate and troubleshoot data quality issues, collaborating with relevant teams to identify root causes and implement appropriate solutions. Document and track issue resolution processes and outcomes.
  • Documentation and Reporting: Maintain comprehensive documentation of data quality processes, standards, and methodologies. Generate reports and dashboards to communicate data quality metrics and trends to stakeholders.
  • Process Improvement: Continuously assess and improve data quality assurance processes and methodologies. Propose enhancements and automation opportunities to optimize data quality workflows.
  • Train: Train staff on data entry standards and provide guidance on data-related issues.
  • Support: Offer support to business users in resolving data-related issues and answering data quality-related queries.
  • Industry Trends and Best Practices: Stay up to date with emerging trends, technologies, and best practices in data quality assurance. Apply new knowledge to enhance data quality processes and methodologies within the organization.
  • Performs other essential tasks and duties required of the position in order to support the Senior Manager as needed.

Qualifications
  • Bachelor's degree in Information Systems, Data Analytics, or a related field (or equivalent work experience)
  • 3-5 years of experience in data quality, data management, or database administration, preferably in a non-profit environment
  • Excellent written and verbal communication skills
  • Strong understanding of data quality concepts, methodologies, and best practices
  • Experience in data analysis, profiling, and data cleansing techniques
  • Proficiency in Excel, SQL, and data visualization tools (e.g., Tableau, Power BI).
  • Experience with CRM systems (e.g., Salesforce, Raiser's Edge) and nonprofit databases is a plus
  • Strong analytical and problem-solving skills
  • Excellent attention to detail and accuracy
  • Effective communication and collaboration skills
  • Ability to work effectively and independently and as part of a team
  • Experience in working with large datasets and complex data environments is a plus

Equal Opportunity Employer