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Data Quality Assurance Jobs (NOW HIRING)

ENE IT Consulting

Lead Data QA

Philadelphia, PA · On-site

$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 ...

1 point system

Data QA

New York, NY · Remote

$117K - $140K/yr

Cotiviti is seeking a QA Engineer with strong experience in testing data pipelines and validating large-scale data processing platforms. The ideal candidate will have hands-on expertise with ...

INSPYR Solutions

Data QA Analyst

Addison, TX · On-site

Data QA Analyst (Tax Focus) Location: Dallas TX Work Requirements: US Citizen, GC Holders or Authorized to Work in the U.S. Skillset / Experience: The Data QA Analyst is responsible for collecting ...

CYNET SYSTEMS

Data QA Engineer

Alpharetta, GA · On-site

$70/hr

Proficiency in Python for scripting and automation in data QA. * Experience with data analysis using Excel and handling large datasets. * Knowledge of data validation and quality checks. * Experience ...

Abacus Insights

Senior Data QA Engineer

You will also mentor junior QA engineers and help shape the broader data quality practice across Abacus's data ecosystem, directly supporting regulatory and operational integrity. Your day to day

Ex Parte, Inc

Data QA Engineer

Bethesda, MD · On-site +1

$122K - $146K/yr

Qualifications Minimum Qualifications * 5+ years of work experience in QA, preferably in data or relevant space * Demonstrable knowledge, experience, skill, and proficiency with the following:

Ex Parte, Inc

Data QA Engineer

Bethesda, MD

$122K - $146K/yr

Qualifications Minimum Qualifications * 5+ years of work experience in QA, preferably in data or relevant space * Demonstrable knowledge, experience, skill, and proficiency with the following:

Charles Schwab Inc.

Data QA Engineer

Southlake, TX · On-site

$130K - $150K/yr

The Data QA Engineer will play a critical role in Schwab's Data Exchange space by helping ensure data applications are tested with accuracy, consistency, and release readiness. In this role, you'll ...

Charles Schwab

Data QA Engineer

Southlake, TX

The Data QA Engineer will play a critical role in Schwab's Data Exchange space by helping ensure data applications are tested with accuracy, consistency, and release readiness. In this role, you'll ...

Anika Systems

Quality Assurance Engineer

Leesburg, VA · On-site +1

Design, develop, and maintain automated QA frameworks for data pipelines, APIs, and analytics platforms using Python and SQL. * Build reusable testing utilities for data validation, regression ...

State of Michigan

Data Quality Assurance Intern

Lansing, MI · On-site

$15.25 - $20.25/hr

Internship - Non Paid Job Number: 4301-21-Data Quality Intern Department: Health and Human Services ... Assurance Unit Maximum of 40 hours a week Required Education and Experience At the time of ...

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Data Quality Assurance information

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How much do data quality assurance jobs pay per hour?

As of Jul 25, 2026, the average hourly pay for data quality assurance in the United States is $44.87, according to ZipRecruiter salary data. Most workers in this role earn between $36.54 and $54.57 per hour, depending on experience, location, and employer.

Is QA analyst an entry level job?

A QA analyst role can be entry level or require experience, depending on the organization. Entry-level positions typically focus on basic testing and quality checks, often requiring familiarity with testing tools and attention to detail. More advanced roles may demand knowledge of scripting, automation, or industry-specific standards.

Will AI replace data analyst?

AI is transforming data analysis by automating routine tasks and enhancing data processing capabilities, but it is unlikely to fully replace data analysts. Instead, data analysts will increasingly focus on interpreting insights, developing strategies, and managing AI tools, requiring skills in data visualization, statistical analysis, and domain knowledge.

Is data quality a good career?

Data Quality Assurance is a valuable career that involves ensuring the accuracy, consistency, and reliability of data within organizations. It often requires skills in data analysis, attention to detail, and familiarity with tools like SQL or data validation software, making it a stable and in-demand field with opportunities for growth.

What are some typical daily responsibilities of a Data Quality Assurance professional?

A Data Quality Assurance professional's day often includes creating and executing test plans, validating datasets, identifying data anomalies, and collaborating with data engineers or analysts to resolve quality issues. They routinely monitor data pipelines, document test results, and help develop or refine data quality standards and processes. Teamwork and regular communication with IT, business stakeholders, and data governance teams are common parts of the role. These responsibilities help ensure data integrity across projects and support an organization's overall data-driven goals.

What does a data QA do?

A data QA (Quality Assurance) professional reviews and tests data to ensure accuracy, consistency, and completeness. They identify and resolve data issues, often using tools like SQL or data validation software, to maintain high data quality standards essential for decision-making and reporting.

What is a Data Quality Assurance job?

A Data Quality Assurance (QA) job involves ensuring the accuracy, consistency, and reliability of data within an organization. Professionals in this role develop and implement data validation processes, identify and fix inconsistencies, and work with teams to maintain data integrity. They use tools and frameworks to automate quality checks, perform audits, and enforce data governance policies. The goal is to support data-driven decision-making by providing stakeholders with high-quality, trustworthy data.

What are the key skills and qualifications needed to thrive in the Data Quality Assurance position, and why are they important?

To thrive as a Data Quality Assurance professional, you need a solid understanding of data management principles, data validation techniques, and strong analytical skills, often backed by a degree in computer science, information systems, or a related field. Familiarity with data quality tools (such as Informatica or Talend), SQL, and experience with database systems are typically required, and certifications in data management can be a plus. Attention to detail, problem-solving abilities, and effective communication are important soft skills for effectively identifying and resolving data issues. These competencies ensure the reliability and accuracy of organizational data, supporting sound decision-making and operational efficiency.

More about Data Quality Assurance jobs
What cities are hiring for Data Quality Assurance jobs? Cities with the most Data Quality Assurance job openings:
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What job categories do people searching Data Quality Assurance jobs look for? The top searched job categories for Data Quality Assurance jobs are:
Data Quality Assurance jobs near you
Infographic showing various Data Quality Assurance job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 89% Full Time, 8% Part Time, and 2% Contract. Highlights an 93% Physical, 3% Hybrid, and 4% Remote job distribution, with an average salary of $93,338 per year, or $44.9 per hour.

Lead Data QA

ENE IT Consulting

Philadelphia, PA • On-site

$130K/yr

Other

Posted 29 days ago

Job description

Job Description e&e is seeking a Lead Data QA for a hybrid contract opportunity in Philadelphia, PA. 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 standards for accuracy, performance, integration, security, and compliance.

The Lead Data QA will provide leadership and mentorship to a team of data QA analysts and testers, establish quality frameworks for ETL/ELT pipelines, and integrate automation within Azure Data Factory (ADF), Databricks, and Snowflake environments. The ideal candidate possesses a deep understanding of data engineering, automation frameworks, and regulatory data compliance (HIPAA, CMS) within modern cloud architectures. Responsibilities: Leadership & Strategy Define and own the enterprise Data QA strategy encompassing functional, non-functional, integration, and performance testing.

Lead and mentor a distributed team of Data QA professionals across multiple programs and data initiatives. Establish and maintain data quality SLAs, KPIs, and dashboards for critical datasets. Collaborate with data governance, engineering, and architecture teams to embed QA best practices across the data lifecycle.

Data Testing & Validation Design and implement automated test plans, scripts, and frameworks for ELT/ETL pipelines. Validate complex payer datasets including claims, membership, provider, and clinical data. Conduct FHIR-based API testing for CMS interoperability and compliance standards.

Verify HEDIS measure calculations, healthcare quality metrics, and performance data accuracy. Log and track defects using appropriate QA tools; provide detailed feedback to engineering and architecture teams. Automation Strategy & Framework Develop and implement a data QA automation framework for Databricks (Delta Live Tables, Delta constraints) and ADF pipelines.

Utilize Great Expectations for reusable validation suites integrated into CI/CD workflows. Embed automated schema validation, reconciliation logic, and drift detection into data pipeline operations. CI/CD Integration Develop QA gates and automated quality checks within Azure DevOps pipelines for Databricks Jobs/DLT, SQL metadata, and ADF deployments.

Collaborate with DevOps and Engineering teams to embed QA automation into continuous integration and deployment processes. Technical Delivery Partner with ADF, Databricks, and Snowflake teams to ensure end-to-end data quality. Build and maintain automation frameworks leveraging Python, PySpark, and SQL.

Participate in code reviews, data model validation, and regression testing across environments. Work with business and data governance teams to identify, investigate, and remediate data quality issues. Performance & Compliance Design and execute automated load and stress tests for large-scale pipelines and dataflows.

Ensure all data QA processes align with HIPAA, CMS, and payer industry compliance standards. Support audits through proper documentation of QA processes, test results, and lineage verification. Requirements: Education: Bachelor's or Master's degree in Computer Science, Data Engineering, Information Systems, or a related field.

Experience & Skills: 10+ years of experience in Data QA/Testing, with at least 5 years in a leadership capacity. Strong proficiency with Azure Databricks (Delta Lake, Delta Live Tables, Unity Catalog). Hands-on experience with Azure Data Factory pipelines, monitoring, and CI/CD deployment.

Advanced skills in Python, PySpark, and SQL for test automation. Experience with Great Expectations, Azure DevOps, and data quality automation frameworks. Familiarity with data governance, PII compliance, and enterprise data quality frameworks.

Proven success integrating QA practices into DevOps pipelines within cloud data environments. Excellent communication, leadership, and cross-functional collaboration abilities. Experience in Agile/Scrum environments is a plus.

Preferred Qualifications: Experience with HL7/FHIR data models beyond payer use cases. Knowledge of Lakehouse and medallion architecture Familiarity with BI validation using Power BI or Tableau. Understanding of data governance platforms (e.g., Collibra)

Prior experience designing data QA automation frameworks for pipelines and regression testing. Certifications such as Microsoft Certified: Azure Data Engineer Associate or Databricks Certified Data Engineer.

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