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Data Quality Assurance Engineer Jobs in Arizona (NOW HIRING)

QA Engineer Manual & Functional Testing Focused (NOT A REMTOTE POSITION) About the Role Invessio is ... Cross-check data against source of truth datasets to catch inconsistencies and drift * Validate ...

QA Engineer Manual & Functional Testing Focused (NOT A REMTOTE POSITION) About the Role Invessio is ... Cross-check data against source of truth datasets to catch inconsistencies and drift * Validate ...

QA Engineer

Phoenix, AZ · On-site

$80 - $120/hr

QA Engineer Manual & Functional Testing Focused (NOT A REMTOTE POSITION) About the Role Invessio is ... Cross-check data against source of truth datasets to catch inconsistencies and drift * Validate ...

QA Engineer Manual & Functional Testing Focused (NOT A REMTOTE POSITION) About the Role Invessio is ... Cross-check data against source of truth datasets to catch inconsistencies and drift * Validate ...

Senior Quality Assurance Engineer**Reporting To:**Manager, QA Control**Work Schedule:**Onsite ... Monitor quality performance data used to track progress to goals and to guide root cause corrective ...

Monitor quality performance data used to track progress to goals and to guide root cause corrective ... Assurance Engineer role, here's what you'll need to bring with you: * Bachelor's degree in ...

Monitor quality performance data used to track progress to goals and to guide root cause corrective ... Assurance Engineer role, here's what you'll need to bring with you: * Bachelor's degree in ...

Monitor quality performance data used to track progress to goals and to guide root cause corrective ... Assurance Engineer role, here's what you'll need to bring with you: * Bachelor's degree in ...

Monitor quality performance data used to track progress to goals and to guide root cause corrective ... Assurance Engineer role, here's what you'll need to bring with you: * Bachelor's degree in ...

The Role The Quality Assurance Engineer is responsible for executing and improving key QMS processes to drive improvements in FEUS processes and product quality, at a pace consistent with the needs ...

The Role The Quality Assurance Engineer is responsible for executing and improving key QMS processes to drive improvements in FEUS processes and product quality, at a pace consistent with the needs ...

The Role The Quality Assurance Engineer is responsible for executing and improving key QMS processes to drive improvements in FEUS processes and product quality, at a pace consistent with the needs ...

The RoleThe Quality Assurance Engineer is responsible for executing and improving key QMS processes to drive improvements in FEUS processes and product quality, at a pace consistent with the needs of ...

Job Title: Sr. Quality Assurance Engineer Reporting To: Manager, QA Control Work Schedule: Onsite ... Monitor quality performance data used to track progress to goals and to guide root cause corrective ...

Job Title: Senior Quality Assurance Engineer Reporting To: Manager, QA Control Work Schedule ... Monitor quality performance data used to track progress to goals and to guide root cause corrective ...

QA Engineer

Phoenix, AZ · On-site

$80K - $100K/yr

Role - QA Engineer Experience Required -8+ Years Must Have Technical/Functional Skills • Java ... Data driven Testing, Cross browser testing and Parallel Test execution using Selenium WebDriver ...

RESPONSIBILITIES: Kforce has a client in Phoenix, AZ that is seeking a QA Engineer ... Experience with testing data integration pipelines and visualization platforms * Experience with ...

Our company provides application analysis, design, development and programming, software ... Knowledge of software QA methodologies, tools, and processes is a must * Knowledge of software ...

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Data Quality Assurance Engineer information

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 the key skills and qualifications needed to thrive as a data quality assurance engineer?

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 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 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.

Is a Data Quality Assurance Engineer still in demand?

Yes, Data Quality Assurance Engineers are in demand due to the increasing importance of accurate and reliable data in organizations. They are needed to develop testing processes, validate data integrity, and work with tools like SQL and data management platforms, often requiring certifications or experience in data governance. The role is expected to grow as data-driven decision-making becomes more critical across industries.

What job categories do people searching Data Quality Assurance Engineer jobs in Arizona look for?

The top searched job categories for Data Quality Assurance Engineer jobs in Arizona are:

What cities in Arizona are hiring for Data Quality Assurance Engineer jobs?

Cities in Arizona with the most Data Quality Assurance Engineer job openings:

Infographic showing various Data Quality Assurance Engineer job openings in Arizona as of June 2026, with employment types broken down into 100% Full Time. Highlights an 74% In-person, and 26% Hybrid job distribution.

QA Engineer

Phoenix, AZ • On-site

Yrefy LLC
Finance and Insurance • 11 - 50 employees

Full-time

Dental, Vision, Life, Retirement

Posted 17 days ago


Job description

QA Engineer

Manual & Functional Testing Focused  (NOT A REMTOTE POSITION)

About the Role 

Invessio is building the infrastructure for modern investment management. Quality here isn't a final gate. It's baked in from day one. We're looking for a QA Engineer who brings systematic, intentional skepticism to every sprint: someone who reads the PRD before dev picks up the ticket and treats vague acceptance criteria as a blocker, not a to-do. 

This role is primarily manual and functional, but manual doesn't mean clicking through happy paths. It means deep exploratory testing, business logic validation, and being the person who asks the question no one else thought to ask. 

This role is also deeply embedded in the software development lifecycle and plays a critical role in stabilization, release readiness, and ensuring system behavior aligns with both technical intent and business expectations. 

What You'll Do 

Test Planning & Execution 

  • Write structured, detailed test cases that a stranger could execute exactly with no ambiguity 
  • Develop test plans from PRDs, user stories, and acceptance criteria 
  • Execute functional, regression, integration, and exploratory testing 
  • Document bugs with clear reproduction steps, environment info, and expected vs. actual behavior 
  • Re-test fixes and verify no regressions were introduced 

Business Logic & Data Validation 

  • Validate calculations, servicing logic, and workflow outputs against expected behavior 
  • Cross-check data against source of truth datasets to catch inconsistencies and drift 
  • Validate system outputs against defined calculation models and expected business logic 
  • Identify edge cases that only surface under specific data conditions 

Early Lifecycle QA 

  • Join sprint planning and design reviews to give testability feedback before dev begins 
  • Flag requirements that are vague, contradictory, or untestable before anyone builds the wrong thing 
  • Collaborate with product to sharpen acceptance criteria 
  • Ensure quality considerations are addressed early, not after development is complete 

Release Readiness 

  • Validate feature completeness and stability before go/no-go decisions 
  • Maintain test results, defect trends, and coverage documentation 
  • Contribute to release readiness criteria: done is defined, not assumed 
  • Provide clear input into go/no-go decisions based on risk, known issues, and system confidence levels 

Stabilization & Risk-Based Testing 

  • Prioritize testing efforts based on risk, impact, and known system instability areas 
  • Focus validation on high-risk workflows, calculations, and data dependencies 
  • Support stabilization efforts by identifying patterns in defects and recurring failure points 
  • Operate effectively in environments where not everything is fully defined or fully stable 

Collaboration 

  • Work with engineers to understand what changed and where regression risk is highest 
  • Partner with product to ensure what's built matches what was specified 
  • Communicate blockers clearly and early, no surprises at the end of a sprint 
  • Help create alignment between product intent, engineering implementation, and production behavior 
  • Participate actively in ADO-driven sprint workflows, ensuring QA visibility and traceability across requirements, defects, and releases 

What We're Looking For 

Required 

  • 3+ years QA experience in SaaS or web applications 
  • Strong test case writing skills: structured, clear, executable 
  • Experience with functional, regression, and integration testing 
  • Experience working within Azure DevOps (ADO) for test case management, defect tracking, sprint collaboration, and release validation workflows 
  • Ability to clearly document defects, test execution results, and validation status within ADO 
  • Solid understanding of SDLC and Agile methodology 
  • Basic SQL skills to independently validate and investigate data without always needing engineering support 

Preferred 

  • Experience in fintech, financial platforms, or calculation-heavy systems 
  • Exposure to API testing (Postman or similar) for backend validation 
  • Familiarity with exploratory testing techniques and session-based testing 
  • Experience providing testability feedback on PRDs or specifications 
  • Experience working in stabilization phases or partially mature product environments 
  • Exposure to test automation or interest in building automated test coverage over time 

Mindset 

  • Thinks like a user, breaks like an adversary 
  • Knows the difference between no bugs found and no bugs exist 
  • Shows up in planning, not just at the end of the pipeline 
  • Treats reproducibility as everything 
  • Understands that QA owns the question: does this actually do what we said it would, under real conditions? 
  • Understands that not all areas carry equal risk and knows how to prioritize testing accordingly 
  • Comfortable operating in ambiguity and helping create clarity where it doesn't exist 
What We Offer
  • 100% Employer Paid Medical for Employee AND Whole Family Includes the Mayo Clinic
  • 401k/Roth Plan 4% Match with Immediate Vesting
  • Dental Insurance
  • Vision Insurance
  • Company Paid Term Life Insurance
  • Company Paid Short-and Long-Term Disability Insurance
  • Voluntary Pet Discount Plan
  • Fully Subsidized LifeTime Gym Membership*
  • Student Loan Repayment
  • Tuition Reimbursement
  • Catered Friday Lunches
  • Stocked Kitchens
  • Opportunity to Work at a Fast-Growing Company
  • And More!
Work Environment

This is a primarily onsite role with genuine flexibility. Core collaboration hours are 10 AM 3 PM; manage your full schedule around that. Need a morning at home for an appointment? Handle it. We don't track hours or micromanage we hire professionals and treat them accordingly. We encourage experimentation, learning from mistakes, and continuous improvement across teams.