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Sr BI QA Automation Engineer

Swanktek IncWilmington, DE🇺🇸United StatesPosted Oct 16, 2026

Why This Role Stands Out

This hybrid role offers a fantastic opportunity to leverage your expertise in BI testing and advanced SQL to build cutting-edge automation frameworks with Playwright, directly impacting critical data insights. You'll thrive here if you possess strong ETL/Data Warehouse experience and a passion for validating complex BI dashboards, making this an exciting next step in your career.

Quick Overview

Seniority
Mid Senior
Work mode
Hybrid
Location
Wilmington, DE, United States
Posted
Yesterday
OracleSQLETLLookerSnowflakeTableauAgileAzureBigQueryDatabricksGitJiraPlaywrightPower BIPythonQlikRedshiftTypeScript

Job Description

Job Title:  Sr BI QA Automation Engineer 
Location: Wilmington, DE (5 days office mandatory)
Duration: Long Term Contract
 
Overall experience – 10 years
 JD:-
Seeking for a Sr BI QA Automation Engineer (6–10 yrs) with strong ETL/Data Warehouse & BI testing expertise, advanced SQL skills, and hands-on Playwright automation for BI dashboards such as Power BI/Tableau/Looker. This is not a standard QA requirement; the role is focused on testing BI dashboards.
Key Skills:- BI QA, Data QA, ETL Testing, Data Warehouse Testing, SQL, Playwright, Power BI, Tableau, Looker, Snowflake, Databricks.
Key Responsibilities
  • BI Strategy and Test Design: Formulate, document, and execute end-to-end BI and Data QA strategies spanning source-to-target mapping, ETL data transformations, data mart models, and front-end visualization layers.
  • UI and Report Automation: Build and maintain automated test frameworks using Playwright (TypeScript/Python) to validate interactive dashboard elements, dynamic filters, visual regressions, drill-downs, and export functions in enterprise reporting platforms (Power BI, Tableau, Looker, etc.).
  • Data and ETL Pipeline Validation: Write complex SQL scripts to perform source-to-target data reconciliation, duplicate detection, schema validation, data type checks, and Slowly Changing Dimensions (SCD Type 1 and Type 2) verification.
  • Security and Governance Testing: Test Row-Level Security (RLS), Column-Level Security (CLS), user role access controls, and data privacy compliance across reports and data marts.
  • Cross-functional Collaboration: Partner closely with Data Engineers, BI Developers, Data Architects, and Product Owners to define acceptance criteria, analyze root causes of data drift, and resolve technical blockers.
Required Skills & Experience
  • Experience: 6–10 years of dedicated experience in QA/Software Testing, with at least 5+ years focused on Data Warehouse, ETL, and BI Report Testing.
  • Database and SQL Expertise: Expert-level mastery of SQL (window functions, CTEs, complex joins, indexing, and query plan optimization).
  • Data Warehouse Platforms: Experience with cloud databases like Snowflake, Databricks, Amazon Redshift, Google BigQuery, or Oracle DW.
  • BI Platforms: Hands-on testing experience with platforms such as Power BI, Tableau, Looker, Qlik Sense, or MicroStrategy.
  • Agile and CI/CD: Proficiency in Git, Jira/Azure DevOps, and integrating automated tests into build pipelines.
Good to Have (Interpersonal and Soft Skills)
  • Excellent Communication: Strong verbal and written communication skills to articulate complex data discrepancies, bug reports, and quality risks clearly to non-technical business stakeholders.
  • Strong Interpersonal Skills: Proven ability to build collaborative relationships across software development, data engineering, and product management teams.
  • Team Player and Mentor: A collaborative mindset with a track record of mentoring junior engineers, conducting peer code reviews, and contributing to overall QA process improvement.

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