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Data Quality Assurance Engineer Jobs (NOW HIRING)

Position Title * QA Engineer ACSPA0F35 Position Responsibilities QA Engineer Location: Plano, TX- ... years of Data/File/Database and ETL/Data warehouse testing and proficient in testing all ...

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 ...

New

Requirement - QA Engineer (Data) Location- 100% Remote Contract W2 Rate- $30/hr on W2 we are looking for someone who has tested data pipelines and worked with platforms like Databricks, AWS EMR, or ...

New

QA Engineer Onsite in Foster City, CA | 5 days in office The Quality Assurance team is actively ... and data models intended for use by rider mobile apps, robots and fleet management tools, and ...

What We Need Corpay is currently looking to hire a QA Engineer within our Corpay Payables division ... Validating core functionality, including rebate calculations based on transaction data, month-end ...

QA Engineer Onsite in Foster City, CA | 5 days in office The Quality Assurance team is actively ... and data models intended for use by rider mobile apps, robots and fleet management tools, and ...

QA Engineer Onsite in Foster City, CA 5 days in office The Quality Assurance team is actively ... and data models intended for use by rider mobile apps, robots and fleet management tools, and ...

What We Need Corpay is currently looking to hire a QA Engineer within our Corpay Payables division ... Validating core functionality, including rebate calculations based on transaction data, month-end ...

What We Need Corpay is currently looking to hire a QA Engineer within our Corpay Payables division ... Validating core functionality, including rebate calculations based on transaction data, month-end ...

We are looking for a QA Engineer to help strengthen software quality across web and mobile ... Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process ...

New

Quality Assurance Engineer, Product Strategy Quality doesn't happen by accident - it takes someone ... Advanced SQL proficiency, including writing and optimizing queries, auditing production data ...

Quality Assurance Engineer, Product Strategy Quality doesn't happen by accident - it takes someone ... Advanced SQL proficiency, including writing and optimizing queries, auditing production data ...

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Data Quality Assurance Engineer information

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How much do data quality assurance engineer jobs pay per hour?

As of Jul 15, 2026, the average hourly pay for data quality assurance engineer in the United States is $48.54, according to ZipRecruiter salary data. Most workers in this role earn between $38.22 and $55.53 per hour, depending on experience, location, and employer.

What is the difference between Data Quality Assurance Engineer vs Data Analyst?

AspectData Quality Assurance EngineerData Analyst
Primary FocusEnsuring data accuracy, integrity, and quality through testing and validation processesAnalyzing data to identify trends, generate reports, and support decision-making
Skills & CertificationsKnowledge of data testing tools, SQL, data management, and quality standardsProficiency in data analysis tools, SQL, Excel, and visualization software
Work EnvironmentOften part of data engineering or QA teams within IT or data departmentsTypically within business intelligence, marketing, or analytics teams

While both roles work with data, the Data Quality Assurance Engineer focuses on validating and maintaining data quality, whereas the Data Analyst interprets data to provide insights. They often collaborate but serve different functions in data management and analysis processes.

What are the key skills and qualifications needed to thrive as a Data Quality Assurance Engineer, and why are they important?

To thrive as a Data Quality Assurance Engineer, you need strong analytical skills, attention to detail, and a background in computer science or a related field. Familiarity with SQL, data profiling tools, automation frameworks, and certifications like ISTQB are commonly required. Excellent problem-solving, communication, and collaboration skills set top performers apart in this role. These competencies are vital for ensuring data integrity, driving process improvements, and supporting business decision-making with reliable information.

What does a data QA engineer do?

A data QA engineer is responsible for ensuring the accuracy, consistency, and quality of data within an organization. They develop testing procedures, use tools to validate data integrity, and collaborate with data teams to identify and resolve data issues, often working with databases and data validation software. Strong analytical skills and knowledge of data management are essential for this role.

What does a Data Quality Assurance Engineer do?

A Data Quality Assurance Engineer is responsible for ensuring the accuracy, consistency, and reliability of data within an organization. They design and implement tests, validation processes, and quality checks to identify and resolve data errors or inconsistencies. Their work helps maintain high-quality data standards, which is crucial for informed decision-making and effective business operations. Additionally, they collaborate with data engineers and analysts to establish data quality metrics and best practices.

What are some common challenges faced by Data Quality Assurance Engineers when working with large datasets?

Data Quality Assurance Engineers often encounter challenges such as data inconsistency, incomplete records, and discrepancies across multiple data sources when handling large datasets. Ensuring data integrity requires meticulous validation and a strong understanding of both automated and manual testing techniques. Collaboration with data engineers, analysts, and business stakeholders is essential to identify root causes of quality issues and to implement effective solutions. Staying adaptable and detail-oriented helps address evolving data requirements and maintain high standards of data accuracy.

What engineers make $300,000 a year?

Senior data quality assurance engineers with extensive experience, advanced skills in data management tools, and certifications can earn salaries approaching or exceeding $300,000 annually, especially in high-demand industries or senior leadership roles. Compensation varies based on location, company size, and individual expertise.

Is QA Engineer still in demand?

The demand for Data Quality Assurance Engineers remains strong as organizations prioritize data accuracy and integrity for decision-making. Skills in data validation, testing tools, and understanding data pipelines are highly valued, and the role is expected to grow with increasing data-driven initiatives.

What engineers make $500,000?

Senior data quality assurance engineers with extensive experience, specialized skills in data validation, automation tools, and certifications can reach or exceed a $500,000 annual salary, especially in high-cost-of-living areas or senior leadership roles. Achieving this level often requires advanced expertise, leadership responsibilities, and a strong track record of improving data integrity and quality processes.
More about Data Quality Assurance Engineer jobs
What cities are hiring for Data Quality Assurance Engineer jobs? Cities with the most Data Quality Assurance Engineer job openings:
What states have the most Data Quality Assurance Engineer jobs? States with the most job openings for Data Quality Assurance Engineer jobs include:
What job categories do people searching Data Quality Assurance Engineer jobs look for? The top searched job categories for Data Quality Assurance Engineer jobs are:
Infographic showing various Data Quality Assurance Engineer job openings in the United States as of July 2026, with employment types broken down into 100% Full Time. Highlights an 67% In-person, and 33% Hybrid job distribution, with an average salary of $100,970 per year, or $48.5 per hour.
Data Architect / Quality Assurance Engineer

Data Architect / Quality Assurance Engineer

City of Philadelphia

Philadelphia, PA • On-site

$61 - $78.25/hr

Full-time

Medical, Retirement, PTO

Posted 3 days ago

New


City Of Philadelphia rating

8.0

Company rating: 8.0 out of 10

Based on 73 frontline employees who took The Breakroom Quiz

298th of 693 rated public administrative organizations


Job description

Company Description
A best-in-class city that attracts best-in-class talent, Philadelphia is an incredible place to build a career. From our thriving arts scene and rich history to our culture of passion and grit, there are countless reasons to love living and working here. With a workforce of over 30,000 people, and more than 1,000 different job categories, the City of Philadelphia offers boundless opportunities to make an impact.
As an employer, the City of Philadelphia values inclusion, integrity, innovation, empowerment, and hard work above all else. We offer a vibrant work environment, comprehensive health care and benefits, and the experience you need to grow and excel. If you're interested in working with a passionate team of people who care about the future of Philadelphia, start here.
What We Offer:
Impact - The work you do here matters to millions.
Growth - Philadelphia is growing, why not grow with it?
Diversity & Inclusion - Find a career in a place where everyone belongs.
Benefits - We care about your well-being.
Job Description
The Data Architect / Quality Assurance Engineer will help define, document, and improve the data models, standards, validation frameworks, and quality assurance practices that support the City's enterprise data integration ecosystem. This position will work across departments, programs, systems, and technical teams to understand business processes, source-system behavior, data definitions, data quality issues, and integration needs. The role will help translate that understanding into enterprise data models, data contracts, validation rules, metadata, quality checks, and architectural guardrails that make City data more consistent, trustworthy, reusable, and scalable.
The Data Architect / Quality Assurance Engineer will play a key role in reducing downstream errors, improving API and integration design, supporting data governance, and ensuring that enterprise data products are designed with quality and reuse in mind from the beginning. The position will support priority departmental and enterprise modernization efforts, while also contributing to broader enterprise data architecture and data quality work across CityGeo's portfolio.
We are looking for a candidate who can bridge business process analysis, data architecture, quality assurance, and practical implementation. This role is well suited for someone who enjoys working with stakeholders to understand how data is produced and used, while also creating the standards, models, and validation practices that make data more reliable across the enterprise.
Some prominent services the team is responsible for include DataBridge, OIT's enterprise data warehouse, AIS, the City's custom address information systems which supports public address search and internal geocoding, and Databridge-Airflow, a custom workflow generator and orchestrator for departmental integrations (https://metadata.phila.gov/) and open data publishing. Some examples of OIT's commitment to serving the public through the effective and innovative integration of City open data include:
https://Atlas.phila.gov
https://property.phila.gov
https://Openmaps.phila.gov
https://streetsmartphl.phila.gov/
www.phila.gov/solarmap
www.phila.gov/stressmap
Essential Functions
• Lead data discovery and requirements-gathering sessions with departments, programs, vendors, and
technical teams to understand business processes, source systems, data flows, data definitions, and data
quality concerns.
• Design conceptual, logical, and physical data models that support enterprise integrations, APIs,
reporting, analytics, open data, and operational systems.
• Define reusable data architecture patterns, naming conventions, entity relationships, identifiers,
reference data standards, and master data concepts.
• Develop data contracts, schema standards, field definitions, validation rules, and acceptance criteria for
new and existing integrations.
• Establish systematic data quality checks for completeness, accuracy, consistency, validity, uniqueness,
timeliness, referential integrity, and business-rule compliance.
• Work with data engineers to implement automated validation and quality assurance workflows using
SQL, Python, DBT tests, metadata tools, or similar approaches.
• Review integration designs, pipeline logic, API structures, and data models to ensure they align with
enterprise standards and long-term reuse needs.
• Identify and document data quality issues, root causes, source-system constraints, transformation risks,
and downstream impacts.
• Develop quality assurance processes for integration releases, schema changes, source-system changes,
API changes, and data product updates.
• Support metadata management, data lineage, data dictionaries, data inventories, and governance
documentation for enterprise data assets.
• Partner with data stewards and department stakeholders to clarify definitions, ownership, update
frequency, quality expectations, and appropriate use of data.
• Partner with security, privacy, legal, and program teams to ensure sensitive or restricted data is handled
according to appropriate rules and expectations.
• Contribute to enterprise data governance, data sharing, API development, open data, and integration
standards.
• Produce clear documentation, diagrams, validation reports, data quality scorecards, and technical
guidance for both technical and non-technical audiences.
• Help establish a culture of quality, reuse, and accountability across City data integration work.
Competencies:
• Clear and concise written and verbal communication.
• Strong facilitation and stakeholder engagement skills.
• Strong analytical thinking and attention to detail.
• Ability to understand business processes and translate them into data models, rules, and technical
requirements.
• Ability to work across multiple domains, departments, systems, and stakeholder groups.
• Ability to balance governance, quality, delivery, and operational practicality.
• Ability to identify patterns, inconsistencies, risks, and opportunities for standardization.
• Commitment to documentation, transparency, public service, and continuous improvement.
Knowledge and Skills:
• Strong knowledge of data modeling, database design, schema design, normalization, dimensional modeling, or related data architecture practices.
• Strong SQL skills and experience working with relational databases, preferably Postgres and PostGIS.
• Experience defining data quality rules, validation checks, test cases, acceptance criteria, and QA workflows.
• Familiarity with data governance, metadata management, data lineage, data dictionaries, data inventories, master data management, and reference data.
• Familiarity with API design, data contracts, JSON schemas, OpenAPI specifications, or similar approaches to defining data exchange standards.
• Experience working with Python, DBT, SQL-based testing, automated QA frameworks, or data validation tools is preferred.
• Familiarity with ETL/ELT pipelines, data warehouses, data lakes, integration platforms, and workflow orchestration tools such as Airflow.
• Experience with Git/GitHub, CI/CD practices, and modern data engineering workflows
• Ability to create diagrams, documentation, data dictionaries, entity relationship models, process maps, and quality reports.
• Experience working with spatial datasets, addressing data, permitting, property, service request, inspection, or other municipal datasets is a plus.
• Experience working in a public-sector, civic technology, or large enterprise environment is a plus.
Abilities:
• To engage stakeholders and understand how data supports real business processes and public services.
• To design data models that support both immediate project needs and long-term enterprise reuse.
• To define clear standards that data engineers and system teams can implement.
• To identify data quality issues before they create downstream reporting, integration, API, or operational problems.
• To develop practical validation frameworks that can be automated and maintained.
• To communicate data architecture and quality concepts in understandable terms.
• To work effectively with technical and non-technical staff across departments.
• To promote consistency, trust, and accountability in the City's enterprise data ecosystem.
Qualifications
Bachelor's degree or advanced degree in Computer Science, Information Systems, Data Science,
Data Analytics, GIS, Public Policy, Engineering, or a related field. Equivalent work experience may be
considered.
• Five or more years of progressively responsible experience in data architecture, data engineering,
data quality assurance, data governance, business intelligence, systems analysis, database design,
or a related role.
• Demonstrated experience designing data models, documenting data definitions, analyzing source
systems, or creating validation frameworks.
• Proven experience working with SQL and relational databases.
• Experience working with technical teams and business stakeholders to define requirements, data
rules, data models, or quality standards.
• Experience supporting enterprise integrations, APIs, data warehouses, reporting systems, analytics
platforms, or operational data products.
• Dedication to making Philadelphia municipal government more robust, efficient, equitable, and
data-informed.
• Previous work in a public-sector or large-organization setting is a plus.
Additional Information
Salary cannot exceed: $105,000
Starting salary to be determined based on experience and qualifications.
Important: To apply, candidates must provide a cover letter and a resume.
Did you know?
  • We offer Comprehensive health coverage for employees and their eligible dependents
  • Our wellness program offers eligibility into the discounted medical plan
  • Employees receive paid vacation, sick leave, and holidays
  • Generous retirement savings options are available
  • Pay off your student loans faster - As a qualifying employer, City of Philadelphia employees are eligible to participate in the Public Service Loan Forgiveness program. Join the ranks of hundreds of employees who have already benefited from this program and achieved student loan forgiveness.
  • Enjoy a Free Commute on SEPTA - Starting September 1, 2023, eligible City employees will no longer have to worry about paying for SEPTA public transportation. Whether you're a full-time, part-time, or provisional employee, you can seize the opportunity to sign up for the SEPTA Key Advantage Program and receive free Key cards for free rides on SEPTA buses, trains, trolleys, and regional rails.
  • Unlock Tuition Discounts and Scholarships - The City of Philadelphia has forged partnerships with over a dozen esteemed colleges and universities in the area, ensuring that our employees have access to a wide range of tuition discounts and scholarships. Experience savings of 10% to 40% on your educational expenses, extending not only to City employees but in some cases, spouse and dependents too!

*The successful candidate must be a city of Philadelphia resident within six months of hire
Effective May 22, 2023, vaccinations are no longer required for new employees that work in non-medical, non-emergency or patient facing positions with the City of Philadelphia. As a result, only employees in positions providing services that are patient-facing medical care (ex: Nurses, doctors, emergency medical personnel), must be fully vaccinated.
The City of Philadelphia is an Equal Opportunity employer and does not permit discrimination based on race, ethnicity, color, sex, sexual orientation, gender identity, religion, national origin, ancestry, age, disability, marital status, source of income, familial status, genetic information or domestic or sexual violence victim status. If you believe you were discriminated against, call the Philadelphia Commission on Human Relations at 215-686-4670 or send an email to faqpchr@phila.gov. For more information, go to: Human Relations Website:
http://www.phila.gov/humanrelations/Pages/default.asp

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