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Data QA Engineer

KaniniUnited States🇺🇸United StatesPosted Sep 16, 2026

Why This Role Stands Out

This remote Data QA Engineer role at Kanini offers a fantastic opportunity to elevate your skills in data validation and automation while building robust testing frameworks. If you excel in SQL, ETL, and Python, and are eager to contribute to a reputable tech company with great flexibility, this is an exciting next step for your career. Apply today to join their innovative team and make a significant impact on data integrity!

Quick Overview

Seniority
Mid Senior
Work mode
Remote
Location
United States
Posted
23 hours ago
SQLAWSETLAzureGoogle CloudPythondbt

Job Description

We're looking for a Data QA Engineer to validate data pipelines and ensure data integrity across ETL processes. You'll work closely with Data Engineering to build automated testing frameworks that catch issues before they hit production.

 

Location: Remote (USA)

Must-Haves:

  • Strong hands-on SQL (complex queries, joins, data validation)
  • Solid experience with ETL/ELT pipelines
  • Python for test automation and scripting
  • Experience with data quality frameworks or custom validation scripts

Nice-to-Haves:

  • Exposure to cloud data platforms (AWS/Azure/Google Cloud Platform)
  • Familiarity with CI/CD for data pipelines
  • Experience with tools like Great Expectations, dbt tests, or similar

What You'll Do:

  • Design and execute test cases for data pipelines and transformations
  • Build automated QA scripts in Python to validate data accuracy at scale
  • Partner with engineering to troubleshoot data discrepancies
  • Document QA processes and maintain test coverage

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