Data QA Engineer – Enterprise Data

Truelogic Software

Data QA Engineer validating enterprise data pipelines and BI reporting for Truelogic’s U.S. technology clients.

Posted 8/6/2026full-timeRemote • 🇩🇴 Dominican RepublicMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates advanced SQL query writing and execution skills for data verification and troubleshooting, alongside expertise in validating ETL and ELT data pipelines. Proficient in testing database objects, performance tuning, and utilizing test automation tools to ensure data integrity and quality across complex data ecosystems.

Highest-signal resume keywords

Advanced SQL Query WritingETL and ELT Data Pipeline ValidationDatabase Testing and AutomationData Normalization and Schema ValidationTest Documentation in JIRA or TestRail

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Complex SQL QueriesETL ValidationDatabase TestingData NormalizationTest AutomationPerformance TuningData Migration ValidationFunctional TestingData Quality Best PracticesBusiness Logic Testing

Tools & Technologies

TableauPower BIJIRATestRailPythonSeleniumApache JMeter

Industry Keywords

Data EcosystemsData WarehousingData PipelinesDatabase ObjectsQuery Execution Plans

Tech Stack

Tools & technologies

ApacheETLJMeterPythonSeleniumSQLTableau

About the role

Key responsibilities & impact

Safeguard the integrity, accuracy, and reliability of complex enterprise data ecosystems
Validate ETL processes, referential integrity, constraints, and data normalization across data pipelines
Perform functional testing on stored procedures, triggers, views, and functions
Validate data migrations and write complex SQL queries to verify data correctness and system integrity
Test data pipelines, transformations, and business logic in Tableau and Power BI
Build and maintain automated scripts for database regression and integration testing
Identify slow queries, monitor execution plans, evaluate indexing, and collaborate with DBAs on performance tuning
Partner with developers, data analysts, and product teams to track defects in JIRA or TestRail
Drive data quality best practices across the engineering organization

Requirements

What you’ll need

Advanced ability to write and execute complex SQL queries for data verification, reconciliation, and troubleshooting
Proven experience validating ETL and ELT data pipelines, transformation logic, and complex data warehousing environments
Hands-on experience testing database objects and structures
Solid understanding of data normalization and schema validation
Experience documenting full-lifecycle test plans, cases, results, and defects in JIRA or TestRail
Hands-on experience with test automation tools and programming languages such as Python, Selenium with SQL assertions, or custom database scripting is highly preferred
Familiarity with Apache JMeter for database load, stress, and performance testing is a plus
Experience testing presentation layers, reports, and business logic in Tableau or Power BI is strongly desired
Understanding of query execution plans, indexing strategies, and database performance tuning is a plus

Benefits

Comp & perks

100% Remote Work
Highly Competitive USD Pay
Paid Time Off
Work with Autonomy
Work with Top American Companies
Engagement activities
Work-life balance
Collaboration with a multicultural team
Work alongside senior, seasoned professionals