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Data Quality Assurance Jobs (NOW HIRING)

ENE IT Consulting

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 ...

Ekcel Technologies Inc

DATA QA

Dallas, TX · On-site

Data QA 5 to 10 years of experience in Data/ETL/Datawarehouse Testing. • Strong experience in Control-M tool, or experience in any other scheduling tools . • Experience in writing SQL queries ...

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 ...

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 ...

USAA

Data Quality & Assurance Lead

San Antonio, TX · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Opportunity As a Data Quality & Assurance Lead , you will be responsible for driving overall program efficiency and effectiveness and the implementation of various techniques and tools to support ...

USAA

Data Quality & Assurance Lead

San Antonio, TX · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Opportunity As a Data Quality & Assurance Lead , you will be responsible for driving overall program efficiency and effectiveness and the implementation of various techniques and tools to support ...

USAA

Data Quality & Assurance Lead

San Antonio, TX · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Opportunity As a Data Quality & Assurance Lead , you will be responsible for driving overall program efficiency and effectiveness and the implementation of various techniques and tools to support ...

Abacus Insights

Senior Data QA Engineer

  • Medical

  • PTO

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

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 ...

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:

Guild

Sr IT QA Data Quality Analyst

$82K - $130K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Position Summary The Sr. IT QA Data Quality Analyst plays an important role in the organization by leading quality assurance activities for Enterprise Data Warehouse (EDW), Data Services, and related ...

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 ...

voagny

Quality Assurance Manager - Data Systems

Manhattan, NY · Hybrid

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Quality Assurance Manager - Data Systems (Hybrid ) The Quality Assurance Manager - Data Systems is responsible for the overall support of programs as defined by the Volunteers of America program ...

voagny

Quality Assurance Manager - Data Systems

Manhattan, NY · Hybrid

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Quality Assurance Manager - Data Systems (Hybrid ) The Quality Assurance Manager - Data Systems is responsible for the overall support of programs as defined by the Volunteers of America program ...

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Data Quality Assurance information

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How much do data quality assurance jobs pay per hour?

As of Aug 15, 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.

What are the 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.

Is data quality assurance 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 advancement.

What is a data quality assurance?

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 data quality assurance, 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.

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Data Quality Assurance jobs near you
Infographic showing various Data Quality Assurance 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 94% Physical, 2% 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

$130K/yr

Full-time

Re-posted 21 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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