Data QA Engineer – Enterprise Data
at Truelogic
Apply directly for Data QA Engineer – Enterprise Data at Truelogic. Verified 100% work-from-home position. View requirements, benefits, salary & direct application link.
Job Overview
Published
Aug 29, 2026
Expires
Sep 13, 2026
Source
Truelogic
Region
IE
Type
Remote / Work From Home
Category
WFH
Seniority
Staff
Job Description
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!
Remote Work Guidelines & Career Insights
Practical advice for succeeding as a remote professional in this role.
Asynchronous Productivity
High-performing remote teams prioritize asynchronous communication. Document your progress clearly in tickets, maintain organized project repositories, and communicate status updates proactively without waiting for real-time meetings.
Home Office & Security
Ensure a private, quiet workstation with a reliable high-speed broadband connection (min 50 Mbps). Maintain compliance with employer cybersecurity policies by utilizing secure password managers, 2FA authentication, and authorized VPN services.
Resume & Application Tips
Tailor your CV specifically to the requirements of Data QA Engineer – Enterprise Data. Highlight quantifiable achievements from past roles (e.g. revenue growth, efficiency improvements, or software shipped) and showcase proven experience collaborating with remote teams.
Virtual Interview Prep
Test your video and audio hardware before virtual calls. Prepare concise STAR-format stories demonstrating how you manage time independently, handle conflicting priorities across different time zones, and solve complex problems autonomously.
Frequently Asked Questions
Key answers about the application process, remote setup, and compensation for Data QA Engineer – Enterprise Data.
Is the Data QA Engineer – Enterprise Data role 100% remote?+
Yes, this is a fully remote work-from-home position with Truelogic. You can collaborate asynchronously, manage project deliverables, and participate in virtual team meetings from your home office without daily commuting.
What qualifications and experience are needed for Data QA Engineer – Enterprise Data?+
Applicants are typically evaluated on relevant industry background, core capabilities, and self-management. Key requirements include strong English communication skills, independent problem-solving abilities, and familiarity with modern remote collaboration platforms like Slack, Zoom, and project management tools.
Who is eligible to apply for this job?+
This remote opening welcomes applications from IE and eligible remote regions. Candidates must ensure they meet the work authorization, residency, or independent contractor criteria required by Truelogic.
What is the salary and benefits package for Data QA Engineer – Enterprise Data?+
The expected compensation for this role is competitive compensation aligned with global remote market standards. In addition to base compensation, remote positions often provide flexible working hours, home office equipment stipends, and professional growth opportunities.
How do I apply and what should I prepare for the interview?+
Click the "Apply Now" button on this page to visit Truelogic's official application portal. Tailor your resume to highlight relevant achievements, and prepare to discuss your experience working productively in an asynchronous remote environment.
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