> Markdown version of [/jobs/ext/2246395-remote-data-qa](https://www.wearedevelopers.com/jobs/ext/2246395-remote-data-qa). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Remote Data QA - **Company:** NTT DATA Corporation - **Location:** Atlanta, GA, United States (Remote available) - **Experience:** Expert - **Salary:** $93,816.0 - $162,875.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, JIRA, Automation of Tests, Microsoft Azure, Data Validation, Extract Transform Load (ETL), Data Warehousing, Python (Programming Language), Power BI, SQL Databases, Test Case, Test Data, Azure Data Factory, Sql Optimization, Snowflake, Pyspark, Azure Synapse Analytics, Automation Anywhere, Ssas Tabular, Databricks - **Published:** August 26, 2026 - **Apply:** https://careers-inc.nttdata.com/talentcommunity/apply/1423089500/?locale=en_US ## About the Role * 5+ years of QA experience with at least 3 years focused on data warehouse, ETL/ELT, or pipeline testing. * 5+ years of Hands-on testing experience on Snowflake and Databricks (notebooks, SQL, basic PySpark). * 5+ years of Strong Python skills for writing validation scripts, iterating across columns/tables, and producing automated comparison reports. * 5+ years of Advanced SQL skills, including complex joins, aggregations, window functions, and reconciliation patterns. * 5+ years of Demonstrated ability to write detailed test plans and test cases independently. * 5+ years of Experience performing root cause analysis on data issues and producing structured RCA documentation. * 5+ years of Experience working in Jira-driven QA workflows. Secondary / Nice to Have * Strong communication skills; comfortable working directly with business stakeholders to clarify requirements. * Experience with Azure Synapse / Azure Data Warehouse. * DAX query authoring against tabular cubes (SSAS Tabular / Azure Analysis Services / Power BI). * Exposure to AI workflows or AI-assisted automation for test case generation or data validation. * Experience with synthetic and controlled test data generation. ## Description The Senior QA Data Engineer is a strong individual contributor responsible for the most complex test design and validation work on the team. This role authors detailed test plans and test cases for new transformations and ingestion processes, executes advanced data validation across base tables and tabular cubes, and leads root cause analysis on high-impact failures. The Senior QA Engineer contributes meaningfully to the team's Python/Databricks automation assets., * Create comprehensive test plans and test cases for new transformations and ingestion processes, working from minimal business-supplied input. * Execute advanced data validation: verify code correctness against base tables, confirm key fields contain the correct data, and reconcile system outputs against business and vendor expectations (e.g., sales figures, account roles). * Write complex SQL and Python validation scripts to compare data warehouse sources against tabular cube outputs, including completeness, sum totals, null percentages, and key-field checks. * Author DAX queries against tabular cubes to extract data for comparison against the Azure Data Warehouse source. * Lead testing for new transformations and migrations across Snowflake and Databricks, assess impact on downstream cubes and reports. * Conduct root cause analysis on data quality incidents; document findings, impact, and remediation, and partner with development teams on resolution. * Contribute to and extend the team's automated test scripts and frameworks under the Technical Lead's direction. * Use Jira to receive assignments and notifications, kick off test plans, and track results. * Mentor QA Engineers/Testers on SQL, Python, validation techniques, and test planning. ## Related Videos - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [Improving quality with Agentic AI with Rovo Dev and Xray](https://www.wearedevelopers.com/videos/2005-improving-quality-with-agentic-ai-with-rovo-dev-and-xray) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Beyond Dashboards: Fixing Text-to-SQL with Semantic RAG](https://www.wearedevelopers.com/videos/2036-beyond-dashboards-fixing-text-to-sql-with-semantic-rag) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [AI as a Test Designer: Transforming Experience into Automated Testing](https://www.wearedevelopers.com/videos/1984-ai-as-a-test-designer-transforming-experience-into-automated-testing) ## Related Articles - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [The 8 Best Code Testing Tools](https://www.wearedevelopers.com/magazine/402-the-8-best-code-testing-tools) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again](https://www.wearedevelopers.com/magazine/751-how-we-built-a-worry-free-system-that-runs-for-10-years-and-what-we-d-do-again) - [13 AI Tools for Developers](https://www.wearedevelopers.com/magazine/302-13-ai-tools-for-developers)