Remote LATAM QA Analyst: Data & SQL Validation Pro

Praxent; United States; Remote; USD 100,000 - 140,000; Full time

Job summary

Praxent is seeking an experienced QA/Data Validation Engineer to join our remote team in the United States. You will own end-to-end testing of ETL pipelines, validate data through SQL and BI outputs, and drive QA discipline across sprints.

You will collaborate with delivery leads, mentor peers, and present testing insights to clients, ensuring high-quality software delivery. Ideal candidates have 5–8 years of experience in data testing, SSRS/Power BI validation, and a strong SQL Server/Azure

Qualifications

• 5-8 years of professional experience in tech projects with automated testing.
• Strong SQL (T-SQL) and data validation across end-to-end ETL pipelines.
• Experience testing BI outputs (SSRS/Power BI) against source data.
• Proficiency with SQL Server, Azure data sources, and data warehousing concepts.
• Ability to present to client stakeholders and mentor peers.

Responsibilities

• Enhance team capacity to deliver stories by end of sprint.
• Lead automated testing and API testing for complex applications.
• Document edge cases, assess risks, and improve acceptance criteria.
• Develop and execute robust testing plans with metrics.
• Mentor junior team members and contribute to recruiting discussions.
• Act as QA SME to ensure value delivery during sprint reviews.

Skills

SQL / T-SQL

ETL

QA testing

BI testing

SSRS

Power BI

Azure data sources

SQL Server

Data validation

Mentorship

Education

Bachelor's Degree in Computer Science / related field

Tools

SSAS cubes

Power BI Fabric

SQL Server environment

Git / version control

SSRS

Job description

Praxent is seeking an experienced QA/Data Validation Engineer to join our remote team in the United States. You will own end-to-end testing of ETL pipelines, validate data through SQL and BI outputs, and drive QA discipline across sprints.

You will collaborate with delivery leads, mentor peers, and present testing insights to clients, ensuring high-quality software delivery. Ideal candidates have 5–8 years of experience in data testing, SSRS/Power BI validation, and a strong SQL Server/Azure