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Data Quality Assurance Engineer Jobs in Rochester, NY

Engineer manages and maintains program Quality Assurance activities, and routinely interfaces with ... Routinely track and analyze data to proactively identify process improvement opportunities and to ...

Quality Engineer

Rochester, NY ยท On-site

$50 - $55/hr

Must know AS9102 and QA-01.1.1 First article Inspection review and approval. * Experience working ... Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You ...

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Quality Manager

Rochester, NY ยท On-site

$65K - $85K/yr

... engineering and vendors to identify critical process controls and implement any required changes ... quality assurance and standards * Excellent numerical skills and understanding of data analysis ...

Quality Engineer III

Rochester, NY ยท On-site

$95K - $128K/yr

The Senior Quality Engineer serves as a key Quality Assurance representative for contact lens ... Statistical sampling plans and data analysis * Design transfer activities in accordance with design ...

Strong knowledge of computer hardware and software, including applications and programming. Strong knowledge of design techniques, tools, and principles involved in production of precision technical ...

Operators use precisely engineered processes to prepare all materials used in coating, including ... Experience dealing with large quantities of chemicals and understanding chemical Safety Data Sheets ...

Operators use precisely engineered processes to prepare all materials used in coating, including ... Experience dealing with large quantities of chemicals and understanding chemical Safety Data Sheets ...

Operators use precisely engineered processes to prepare all materials used in coating, including ... Experience dealing with large quantities of chemicals and understanding chemical Safety Data Sheets ...

... data entry. Responsibility for specific manufacturing processes, inputs, outputs, and troubleshooting. Be involved in product quality and process improvement activities. Interact with engineers ...

The Quality Manager leads the organization's Quality Management System (QMS), oversees Quality Assurance operations, and drives Quality Engineering initiatives that support manufacturing excellence.

The Quality Manager leads the organization's Quality Management System (QMS), oversees Quality Assurance operations, and drives Quality Engineering initiatives that support manufacturing excellence.

The Quality Manager leads the organization's Quality Management System (QMS), oversees Quality Assurance operations, and drives Quality Engineering initiatives that support manufacturing excellence.

Quality Technician

Canandaigua, NY ยท On-site

$20 - $26.95/hr

... Engineering plus 1 year of laboratory, or quality assurance experience; * Skilled in reading ... problems, collect data, and draw valid conclusions. * Experience interpreting technical ...

Quality Technician

Canandaigua, NY ยท On-site

$20 - $26.95/hr

... Engineering plus 1 year of laboratory, or quality assurance experience; * Skilled in reading ... problems, collect data, and draw valid conclusions. * Experience interpreting technical ...

... Engineering plus 1 year of laboratory, or quality assurance experience; * Skilled in reading ... problems, collect data, and draw valid conclusions. * Experience interpreting technical ...

Showing results 41-60

Data Quality Assurance Engineer information

See Rochester, NY salary details

$18

$47

$77

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

As of Aug 9, 2026, the average hourly pay for data quality assurance engineer in Rochester, NY is $47.90, according to ZipRecruiter salary data. Most workers in this role earn between $37.69 and $54.81 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?

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 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.

Is a data quality assurance engineer still in demand?

Data Quality Assurance Engineers are in ongoing demand as organizations prioritize accurate and reliable data for decision-making. Skills in data validation, testing, and familiarity with tools like SQL and data quality platforms enhance employability in this field.

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 are popular job titles related to Data Quality Assurance Engineer jobs in Rochester, NY? For Data Quality Assurance Engineer jobs in Rochester, NY, the most frequently searched job titles are:
What job categories do people searching Data Quality Assurance Engineer jobs in Rochester, NY look for? The top searched job categories for Data Quality Assurance Engineer jobs in Rochester, NY are:
What cities near Rochester, NY are hiring for Data Quality Assurance Engineer jobs? Cities near Rochester, NY with the most Data Quality Assurance Engineer job openings:
Infographic showing various Data Quality Assurance Engineer job openings in Rochester, NY 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 90% Physical, 1% Hybrid, and 9% Remote job distribution, with an average salary of $99,624 per year, or $47.9 per hour.

Job Opening for QA Analyst / Senior Automation Engineer

Siri InfoSolutions Inc

Rochester, NY โ€ข On-site

Full-time

Posted 11 days ago


Job description

Job Title: Quality Assurance Analyst / Senior Automation Engineer
Location: Rochester, NY
Onsite/ Remote: Onsite

Primary Responsibilities
Test Automation Framework Development
Design, develop, and maintain automated functional and regression test suites using Python and Squish.
Develop reusable automation libraries, utilities, and framework components to improve maintainability and scalability.
Analyze manual test cases and determine automation feasibility.
Convert manual test procedures into reliable automated test scripts.
Enhance automation frameworks to support continuous integration and future software releases.
Follow automation coding standards and best practices to ensure reusable and maintainable code.
Functional and Regression Testing
Develop and execute automated functional, regression, smoke, sanity, and integration test suites.
Validate software functionality against business and system requirements.
Ensure complete requirements traceability and test coverage.
Execute regression test cycles for feature enhancements, defect fixes, and software releases.
Verify software quality across multiple application versions and supported environments.
________________________________________
Test Environment Management
Configure, maintain, and support Windows-based automation environments.
Execute automated test suites on VMware virtual machines.
Coordinate environment readiness for nightly, weekly, and release validation executions.
Troubleshoot and resolve environment-related execution issues.
Ensure high availability and stability of automation execution environments.
________________________________________
Defect Management
Perform Root Cause Analysis (RCA) for automation failures and software defects.
Differentiate between application defects, automation issues, and environment-related failures.
Create detailed defect reports with supporting evidence and reproduction steps.
Collaborate with development teams to investigate, reproduce, and resolve software defects.
Verify defect fixes through regression testing.
________________________________________
Agile Development Support
Participate in Sprint Planning, Sprint Grooming, Daily Stand-ups, Sprint Reviews, and Sprint Retrospectives.
Estimate automation effort for new user stories and feature enhancements.
Plan and track sprint deliverables related to automation development.
Collaborate with Product Owners, Business Analysts, Developers, and QA teams throughout the software development lifecycle.
________________________________________
Release Validation
Support validation activities for bi-weekly software releases.
Execute release readiness and regression validation testing.
Ensure automation execution is completed successfully prior to software deployment.
Prepare release validation summaries and communicate testing status to project stakeholders.
________________________________________
Requirements Analysis and Documentation
Review Business Requirements Documents (BRD), Software Requirement Specifications (SRS), Functional Specifications, and Design Documents.
Prepare automation feasibility analysis documents.
Contribute to automation architecture and test strategy discussions.
Develop and maintain automation design documentation and execution procedures.
Participate in technical and design review meetings.
________________________________________
Reporting and Quality Metrics
Monitor automation execution results and overall framework health.
Prepare daily, weekly, and sprint-level automation status reports.
Analyze automation trends, defect statistics, execution success rates, and test coverage metrics.
Present quality metrics to project management and client stakeholders.
Track automation progress and recommend process improvements.
________________________________________
Jira Administration and Sprint Tracking
Maintain Jira dashboards and monitor sprint progress.
Track automation user stories, tasks, defects, and sprint deliverables.
Coordinate work assignments across onsite and offshore teams.
Maintain project trackers and automation execution dashboards.
Support Scrum Masters and Project Managers in sprint execution and reporting.
________________________________________
Team Coordination and Client Communication
Act as the primary technical liaison between onsite client teams and offshore development teams.
Coordinate requirement clarification sessions and technical discussions.
Facilitate knowledge transfer sessions and provide technical guidance to team members.
Review automation deliverables to ensure compliance with project standards.
Mentor junior automation engineers and support team capability development.

Continuous Improvement
Identify opportunities to expand automation coverage and reduce manual testing effort.
Improve automation framework stability, maintainability, and execution efficiency.
Recommend and implement automation best practices and process improvements.
Contribute to continuous improvement initiatives that enhance software quality and release efficiency.

Required Technical Skills
Programming Languages
Python
Automation Tools
Squish GUI Automation
Platforms
Windows
VMware
Test Methodologies
Functional Testing
Regression Testing
Smoke Testing
Integration Testing
End-to-End Testing
Test Automation Framework Development
Agile Tools
Jira
Agile Scrum
Software Engineering Practices
Root Cause Analysis (RCA)
Defect Lifecycle Management
Requirements Traceability
Release Validation
Test Planning
Test Strategy
Quality Metrics
Automation Best Practices

Preferred Qualifications
Experience developing automation frameworks using Python.
Strong experience with GUI automation using Squish.
Experience working in Agile Scrum environments.
Experience supporting enterprise software validation and release testing.
Excellent analytical and problem-solving skills.
Strong communication and stakeholder management skills.
Experience coordinating with distributed onsite and offshore teams.
Ability to mentor team members and provide technical leadership.

 


Siri Infosolutions logo

About Siri Infosolutions

Sourced by ZipRecruiter

Our team of experts first gather each and every requirement of yours. Our research and development team then sit around those requirements and come up with a plan. Our implementation team then executes that plan for optimal results. After that our support team remains in constant touch with you during and after the entire process.

Industry

It services

Company size

201 - 500 Employees

Headquarters location

Edison, NJ, US

Year founded

2005