ZipRecruiter

Log In

1

Data Quality Assurance Jobs (NOW HIRING)

Virtusa

Quality Assurance Lead

Minneapolis, MN

Quality Assurance Lead Workstream: Operational Excellence & Offshore Delivery Role Purpose Owner of the testing and validation of data products, ensuring that the data is accurate, reliable, and fit ...

Virtusa

Quality Assurance Lead

Minneapolis, MN · On-site

Quality Assurance Lead Workstream: Operational Excellence & Offshore Delivery Role Purpose Owner of the testing and validation of data products, ensuring that the data is accurate, reliable, and fit ...

Boss Tech

QA Engineer

San Jose, CA · On-site +1

... assurance engineers ... Coordinate and collaborate with data quality control analysts and engineers in testing and ...

TMCI

Be Seen First

Data Quality Assurance Analyst [TMC-013-001]

Mclean, VA · On-site

$85K - $130K/yr

TMCI is seeking a Data Quality Assurance Analyst (DQAA) to support execution of enterprise data quality practices. This role focuses on implementing and monitoring data quality rules, performing data ...

Lantern

Data Engineer - Governance and QA

Dallas, TX · On-site +1

Data Engineer - Governance and QA The Healthcare Data Reporting team delivers high-quality outbound files and data feeds to clients and exchange partners across claims, utilization, accumulator, and ...

Lantern

Data Engineer - Governance and QA

Dallas, TX · Hybrid

Data Engineer - Governance and QA The Healthcare Data Reporting team delivers high-quality outbound files and data feeds to clients and exchange partners across claims, utilization, accumulator, and ...

Lantern

Data Engineer - Governance and QA

Dallas, TX · Hybrid

Data Engineer - Governance and QA The Healthcare Data Reporting team delivers high‑quality outbound files and data feeds to clients and exchange partners across claims, utilization, accumulator ...

S Linx LLC

QA Data Test Lead

Cincinnati, OH · On-site

Job Title : QA Data Test Lead Location: Cincinnati, OH - 2-day onsite (Tuesday & Thursday) Must Have: * Bachelor s degree in computer science, Information Technology, or a related field. * 10 12 ...

next page

Showing results 1-20

All JobsData Quality Assurance Jobs

Data Quality Assurance information

See salary details

$15

$44

$64

How much do data quality assurance jobs pay per hour?

As of Jun 16, 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 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 growth opportunities.

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.

Is QA a difficult job?

Data Quality Assurance (QA) can be challenging as it requires attention to detail, analytical skills, and understanding of data management processes. The role often involves identifying errors, ensuring data accuracy, and using tools like SQL or data validation software, which can demand technical proficiency and problem-solving abilities.

What are the top 3 skills for a quality assurance specialist?

A quality assurance specialist in data quality assurance needs strong attention to detail to identify errors, analytical skills to assess data accuracy, and familiarity with data management tools and software. Effective communication skills are also important for documenting issues and collaborating with teams. Certifications like Certified Data Management Professional (CDMP) can enhance credibility in this role.

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:
What states have the most Data Quality Assurance jobs? States with the most job openings for Data Quality Assurance jobs include:
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

Senior QA Automation Engineer - Enterprise Data & Analytics Platform

Priwils, Inc

Adelphi, MD • On-site

Full-time

Posted 6 days ago

Job description

Role Summary:
We are seeking a highly skilled and self-directed Senior QA Engineer/SDET to drive comprehensive quality engineering for our Enterprise Data & Analytics Platform. Reporting into the Sr. Director – Analysis, Change and Quality, this role will own and implement advanced automated testing strategies across the entire data lifecycle, ensuring data reliability, data quality, and AI/BI model accuracy. This role requires deep technical expertise in automation tools to test data pipelines in data bricks and data quality frameworks.
Key Responsibilities:
  • Architect and implement robust automated testing frameworks leveraging PySpark and Databricks-native tools for data validation across Raw, Curated, and Mart layers.
  • Design and implement data quality validation frameworks, including checks on accuracy, completeness, and consistency across transformation layers.
  • Create advanced data quality KPIs, integrating them into automated dashboards to track quality trends across layers.
  • This will be a hybrid role at University Boulevard East Adelphi, Maryland 20783, 1-2 days a week
  • Design metadata-driven tests, integrating with CI/CD pipelines, with coverage on all transformation layers.
  • Lead development of QA user stories and acceptance criteria, precisely defining test scenarios for ingestion, transformation, and consumption layers.
  • Perform complex data reconciliation testing across 10+ source systems, ensuring accuracy, completeness, and consistency from source through Mart.
  • Own the end-to-end testing lifecycle (QA, Staging, Production), defining what and when to test at each stage and ensuring sign-off criteria are met.
  • Partner closely with data engineers to troubleshoot pipeline failures, connectivity issues, and performance bottlenecks.
  • Set standards for data lineage and auditability, ensuring every transformation step can be validated and traced.
  • Plan, facilitate, and manage User Acceptance Testing (UAT) involving business users for data visualization tools such as Tableau running on Databricks.
  • Prepare UAT test scenarios aligned with business use cases, guide users through testing, and gather actionable feedback. 
  • Drive defect triage, resolution, and retesting, ensuring readiness for production release. 
  • Work within a SAFe Agile framework, participating in PI planning, sprint ceremonies, and cross-team coordination. Collaborate with DevOps, Data Engineers, Data Scientists, and Product Owners to integrate QA into CI/CD pipelines. 
  • Provide regular updates to project and senior management on progress of QA milestones and tasks.
Required Skills & Expertise:
  • Minimum of 5+ years of solid experience in Data Engineering with proven experience testing and validating data pipelines in Databricks, including medallion architecture.
  • Proficient in creating testing framework for validating Data Quality.
  • Proficient in Databricks notebook, PySpark, Python, SQL, and data quality testing.
  • Expert with testing AI/BI models, ensuring data quality from feature engineering through model scoring.
  • Experience in CI/CD pipelines (e.g., Azure DevOps) for automated test execution.
  • Strong knowledge of data governance (data lineage, audit trails, compliance testing).
  • Excellent problem-solving skills with the ability to work in a fast-paced environment.
  • Experience with tools such as Azure Purview and Profisee MDM is preferred.

Powered by JazzHR

PHwNYkp6dE