About this role.
This remote Data QA Engineer role focuses on protecting the accuracy, consistency, and reliability of enterprise data ecosystems. The engineer will validate ETL/ELT pipelines, database objects, data migrations, transformation logic, and BI reporting outputs. Core work includes advanced SQL-based reconciliation, automated regression and integration testing, defect management, and collaboration with developers, DBAs, analysts, and product teams. The position also values database performance analysis, including execution-plan review, indexing considerations, and identification of slow-running queries.
Role DNA
A quick view of the complexity, pace, ownership and collaboration implied by the job description.
Job Complexity
4/5Pace & Pressure
4/5Autonomy Level
4/5Communication Load
4/5Salary analysis
Estimated compensation compared with the broader US market for similar roles.
Core skills
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Sample interview questions
I would compare source and target record counts, validate key aggregates, reconcile primary business measures, and use SQL joins or exception queries to identify missing, duplicate, or mismatched records. I would also test transformation rules, null handling, data types, referential integrity, and incremental-load behavior, then document the evidence and any defects.
I use joins, CTEs, window functions, conditional aggregations, EXISTS and NOT EXISTS checks, and set operations such as EXCEPT to reconcile datasets. I also create checks for duplicates, invalid domains, unexpected nulls, orphaned foreign keys, outliers, and differences between source and target calculations.
I would define reusable test cases and expected outcomes, then build scripts in Python or a database-native framework to execute SQL assertions against controlled test data. The suite would validate schema rules, stored procedures, transformations, reconciliation metrics, and report outputs, while producing clear logs that can be integrated into CI/CD pipelines.
I would first confirm that the refreshed dataset matches approved source-of-truth totals and business-rule calculations. Then I would validate filters, joins, calculated fields, drill-down behavior, displayed metrics, refresh timing, and key visual outputs against independently written SQL queries and documented acceptance criteria.
I would review the execution plan, table sizes, joins, filters, statistics, and index usage to identify the bottleneck. I would work with the DBA and developers to test improvements such as more selective predicates, revised joins, appropriate indexes, partition-aware logic, or pre-aggregation while ensuring that performance changes do not alter validation accuracy.
About Truelogic
At Truelogic we are a leading provider of nearshore staff augmentation services headquartered in New York. For over two decades, we’ve been delivering top-tier technology solutions to companies of all sizes, from innovative startups to industry leaders, helping them achieve their digital transformation goals.
Our team of 600+ highly skilled tech professionals, based in Latin America, drives digital disruption by partnering with U.S. companies on their most impactful projects. Whether collaborating with Fortune 500 giants or scaling startups, we deliver results that make a difference.
By applying for this position, you’re taking the first step in joining a dynamic team that values your expertise and aspirations. We aim to align your skills with opportunities that foster exceptional career growth and success while contributing to transformative projects that shape the future.
Our Client
A leading technology organization focused on building robust, scalable data ecosystems and advanced analytics platforms.
Job Summary
We are seeking a meticulous Data QA Engineer to safeguard the integrity, accuracy, and reliability of complex enterprise data ecosystems. In this role, you will tackle the critical challenge of validating intricate ETL pipelines, ensuring seamless data migrations, and verifying that transformed data accurately reflects true business logic before it reaches critical analytical layers and decision-makers. The ideal candidate is a highly analytical problem-solver who combines a deep understanding of database architecture with hands-on experience in test automation, query optimization, and end-to-end data quality assurance.
Responsibilities
Ensure data accuracy, consistency, and completeness across pipelines by thoroughly validating ETL processes, referential integrity, constraints, and data normalization.
Perform comprehensive functional testing on core database objects, including 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 within business intelligence reporting tools like Tableau and Power BI to guarantee accurate report generation.
Build and maintain automated test scripts to execute seamless database regression and integration testing.
Identify slow-running queries, monitor execution plans, evaluate database indexing, and collaborate closely with DBAs to fine-tune overall system performance.
Partner with developers, data analysts, and product teams to track defects utilizing JIRA or TestRail and drive data quality best practices across the engineering organization.
Qualifications and Job Requirements
Advanced ability to write and execute complex SQL queries for deep data verification, reconciliation, and troubleshooting.
Proven track record of validating ETL and ELT data pipelines, transformation logic, and complex data warehousing environments.
Hands-on experience testing database objects and structures, with a solid understanding of data normalization and schema validation.
Practical experience documenting full-lifecycle test plans, cases, results, and defects in tools like 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 non-functional testing using tools like Apache JMeter for database load, stress, and performance testing is a plus.
Experience testing presentation layers, reports, and business logic in BI platforms such as Tableau or Power BI is strongly desired.
Understanding of query execution plans, indexing strategies, and database performance tuning is a plus.
What We Offer
100% Remote Work: Enjoy the freedom to work from the location that helps you thrive. All it takes is a laptop and a reliable internet connection.
Highly Competitive USD Pay: Earn an excellent, market-leading compensation in USD, that goes beyond typical market offerings.
Paid Time Off: We value your well-being. Our paid time off policies ensure you have the chance to unwind and recharge when needed.
Work with Autonomy: Enjoy the freedom to manage your time as long as the work gets done. Focus on results, not the clock.
Work with Top American Companies: Grow your expertise working on innovative, high-impact projects with Industry-Leading U.S. Companies.
Why You’ll Like Working Here
A Culture That Values You: We prioritize well-being and work-life balance, offering engagement activities and fostering dynamic teams to ensure you thrive both personally and professionally.
Diverse, Global Network: Connect with over 600 professionals in 25+ countries, expand your network, and collaborate with a multicultural team from Latin America.
Team Up with Skilled Professionals: Join forces with senior talent. All of our team members are seasoned experts, ensuring you’re working with the best in your field.
Apply now!
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