Overview
On Site
Full Time
Skills
FOCUS
Bridging
Data Engineering
Data Integrity
Machine Learning (ML)
Functional Requirements
Test Cases
Automated Testing
Extract
Transform
Load
Collaboration
Software Development Methodology
Quality Assurance
Testing
SQL
Python
Scripting
PostgreSQL
Stored Procedures
Data Validation
Snow Flake Schema
Job Details
Job#: 2081482
Job Description:
Job Description: QA Analyst - Data & ML Focus
Contract: 12+ months, continuous extensions
Location: Richmond, VA or Dallas, TX - flexible to work more remote after the first couple months. Initially 2-3 days per week onsite.
Job Summary
We are seeking a QA Analyst to support an ML platform, focusing on full-stack and data-centric applications. This role bridges automation, data engineering, and machine learning (ML) operations, ensuring robust testing of production-grade applications and data pipelines. The ideal candidate will be technically proficient, business-savvy, and capable of working across teams to validate data integrity and application functionality.
Key Responsibilities
Lead and execute QA testing across full-stack and data/ML applications.
Translate business and functional requirements into test cases and validation strategies.
Perform manual and automated testing, including ETL and source-to-target data validation.
Collaborate with data engineers, data scientists, and QA teams to ensure quality across the SDLC.
Validate SQL queries and Python scripts to ensure data accuracy and business logic alignment.
Support QA efforts for applications transitioning from development to production.
Recommend and implement appropriate testing tools and frameworks.
Required Skills & Tools
**SQL (Advanced)** - Strong ability to write and validate complex queries.
**Python (Intermediate)** - Comfortable reading, understanding, and modifying scripts.
**PostgreSQL** - Experience with stored procedures, triggers, and data validation.
**Snowflake** - Familiarity with querying and validating data in Snowflake.
**Testing Tools (Preferred Experience)
QTest
NeoLoad
Tosca
Katalon
Selenium
HP UFT (Unified Functional Testing)
Preferred Qualifications
2-3 years of QA experience in a production environment.
Experience in data-centric QA roles (not just front-end testing).
Familiarity with ML workflows and data pipelines.
Ability to work independently and communicate effectively with technical and business stakeholders.
Quick learner with a proactive mindset.
EEO Employer
Apex Systems is an equal opportunity employer. We do not discriminate or allow discrimination on the basis of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), age, sexual orientation, gender identity, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, disability, status as a crime victim, protected veteran status, political affiliation, union membership, or any other characteristic protected by law. Apex will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable law. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation in using our website for a search or application, please contact our Employee Services Department at or .
Apex Systems is a world-class IT services company that serves thousands of clients across the globe. When you join Apex, you become part of a team that values innovation, collaboration, and continuous learning. We offer quality career resources, training, certifications, development opportunities, and a comprehensive benefits package. Our commitment to excellence is reflected in many awards, including ClearlyRated's Best of Staffing in Talent Satisfaction in the United States and Great Place to Work in the United Kingdom and Mexico.
Apex Benefits Overview: Apex offers a range of supplemental benefits, including medical, dental, vision, life, disability, and other insurance plans that offer an optional layer of financial protection. We offer an ESPP (employee stock purchase program) and a 401K program which allows you to contribute typically within 30 days of starting, with a company match after 12 months of tenure. Apex also offers a HSA (Health Savings Account on the HDHP plan), a SupportLinc Employee Assistance Program (EAP) with up to 8 free counseling sessions, a corporate discount savings program and other discounts. In terms of professional development, Apex hosts an on-demand training program, provides access to certification prep and a library of technical and leadership courses/books/seminars once you have 6+ months of tenure, and certification discounts and other perks to associations that include CompTIA and IIBA. Apex has a dedicated customer service team for our Consultants that can address questions around benefits and other resources, as well as a certified Career Coach. You can access a full list of our benefits, programs, support teams and resources within our 'Welcome Packet' as well, which an Apex team member can provide.
Job Description:
Job Description: QA Analyst - Data & ML Focus
Contract: 12+ months, continuous extensions
Location: Richmond, VA or Dallas, TX - flexible to work more remote after the first couple months. Initially 2-3 days per week onsite.
Job Summary
We are seeking a QA Analyst to support an ML platform, focusing on full-stack and data-centric applications. This role bridges automation, data engineering, and machine learning (ML) operations, ensuring robust testing of production-grade applications and data pipelines. The ideal candidate will be technically proficient, business-savvy, and capable of working across teams to validate data integrity and application functionality.
Key Responsibilities
Lead and execute QA testing across full-stack and data/ML applications.
Translate business and functional requirements into test cases and validation strategies.
Perform manual and automated testing, including ETL and source-to-target data validation.
Collaborate with data engineers, data scientists, and QA teams to ensure quality across the SDLC.
Validate SQL queries and Python scripts to ensure data accuracy and business logic alignment.
Support QA efforts for applications transitioning from development to production.
Recommend and implement appropriate testing tools and frameworks.
Required Skills & Tools
**SQL (Advanced)** - Strong ability to write and validate complex queries.
**Python (Intermediate)** - Comfortable reading, understanding, and modifying scripts.
**PostgreSQL** - Experience with stored procedures, triggers, and data validation.
**Snowflake** - Familiarity with querying and validating data in Snowflake.
**Testing Tools (Preferred Experience)
QTest
NeoLoad
Tosca
Katalon
Selenium
HP UFT (Unified Functional Testing)
Preferred Qualifications
2-3 years of QA experience in a production environment.
Experience in data-centric QA roles (not just front-end testing).
Familiarity with ML workflows and data pipelines.
Ability to work independently and communicate effectively with technical and business stakeholders.
Quick learner with a proactive mindset.
EEO Employer
Apex Systems is an equal opportunity employer. We do not discriminate or allow discrimination on the basis of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), age, sexual orientation, gender identity, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, disability, status as a crime victim, protected veteran status, political affiliation, union membership, or any other characteristic protected by law. Apex will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable law. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation in using our website for a search or application, please contact our Employee Services Department at or .
Apex Systems is a world-class IT services company that serves thousands of clients across the globe. When you join Apex, you become part of a team that values innovation, collaboration, and continuous learning. We offer quality career resources, training, certifications, development opportunities, and a comprehensive benefits package. Our commitment to excellence is reflected in many awards, including ClearlyRated's Best of Staffing in Talent Satisfaction in the United States and Great Place to Work in the United Kingdom and Mexico.
Apex Benefits Overview: Apex offers a range of supplemental benefits, including medical, dental, vision, life, disability, and other insurance plans that offer an optional layer of financial protection. We offer an ESPP (employee stock purchase program) and a 401K program which allows you to contribute typically within 30 days of starting, with a company match after 12 months of tenure. Apex also offers a HSA (Health Savings Account on the HDHP plan), a SupportLinc Employee Assistance Program (EAP) with up to 8 free counseling sessions, a corporate discount savings program and other discounts. In terms of professional development, Apex hosts an on-demand training program, provides access to certification prep and a library of technical and leadership courses/books/seminars once you have 6+ months of tenure, and certification discounts and other perks to associations that include CompTIA and IIBA. Apex has a dedicated customer service team for our Consultants that can address questions around benefits and other resources, as well as a certified Career Coach. You can access a full list of our benefits, programs, support teams and resources within our 'Welcome Packet' as well, which an Apex team member can provide.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.