> Markdown version of [/jobs/ext/4615383-senior-bi-data-qa-engineer](https://www.wearedevelopers.com/jobs/ext/4615383-senior-bi-data-qa-engineer). 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). --- # Senior BI / Data QA Engineer - **Company:** Kforce Inc. - **Location:** Clearwater, FL, United States - **Experience:** Expert - **Contract:** Contract - **Skills:** Databases, Data Validation, Data Deduplication, Information Engineering, Extract Transform Load (ETL), Data Warehousing, SQL Databases, Tableau (Software), Sql Optimization, Change Data Capture - **Published:** November 7, 2026 - **Apply:** https://www.dice.com/job-detail/573f93da-f8b0-4f4c-9c66-2e918a2b271c ## About the Role We are seeking a Senior BI/Data QA Engineer to own data quality and testing across enterprise data warehouse and business intelligence solutions. This role requires strong hands-on experience with SQL, EDW, Change Data Capture (CDC), and Tableau, with an emphasis on end-to-end data validation and troubleshooting., * Advanced SQL, EDW/Data Warehousing, CDC, Tableau, data validation, and senior-level QA strategy/ownership ## Description Kforce has a client that is seeking a Senior BI/Data QA Engineer in Clearwater, FL., * Design complex SQL validations to reconcile source and target datasets, transformations, aggregates, and business rules * Test EDW incremental loads and CDC processes, including inserts, updates, deletes, audit fields, high-water marks, and change windows * Validate data accuracy, completeness, deduplication, and proper handling of late-arriving or out-of-order data * Test SCD Type 2 and historical data behavior within the warehouse * Perform end-to-end validation from source systems, EDW, Tableau dashboards and reports * Validate Tableau calculations, filters, extracts, refreshes, row-level security, and performance * Troubleshoot data discrepancies and identify root causes across database, ETL/EDW, and reporting layers * Partner closely with data engineering and BI/reporting teams to establish QA strategy and ensure production-ready data