Largeton Group
QA Data Engineer - Data Validation
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a QA Data Engineer focused on data validation, requiring 5+ years of experience, expertise in SQL and Python, and proficiency in automated testing frameworks. Contract length and pay rate are unspecified; location is flexible.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
384
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🗓️ - Date
November 7, 2025
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Denver, CO
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🧠 - Skills detailed
#YAML (YAML Ain't Markup Language) #AI (Artificial Intelligence) #GIT #iOS #ML (Machine Learning) #Leadership #Pytest #Data Engineering #Python #Automation #Tableau #OpenSearch #SQL (Structured Query Language) #Data Quality #Data Pipeline #Visualization #Data Governance #Automated Testing
Role description
Job Summary – QA Data Engineer (Data Validation)
• Minimum 5 years of experience in QA, data validation, or similar technical roles, with a strong track record as a senior individual contributor.
• Lead and execute data validation efforts for data pipelines, APIs, and analytics workflows within CI/CD environments.
• Develop and implement automated testing solutions using SQL, Python, and test automation frameworks (e.g., PyTest, WebdriverIO, Mocha).
• Design and manage QA dashboards and data visualization tools, such as Tableau and OpenSearch.
• Identify, troubleshoot, and resolve data quality issues, applying strong problem-solving skills and communicating results in business-friendly language.
• Collaborate effectively with cross-functional teams, influencing peers and leading initiatives without formal authority.
• Test and validate data across multiple connected devices/platforms (iOS, Android, Roku, Apple TV, SamsungTV) as needed.
• Utilize Git, YAML, and data governance frameworks in daily work.
• Apply or gain experience with AI/ML-based validation and automation tools.
• Demonstrate interest in leadership development and mentoring, with aspirations to grow into a management role.
Job Summary – QA Data Engineer (Data Validation)
• Minimum 5 years of experience in QA, data validation, or similar technical roles, with a strong track record as a senior individual contributor.
• Lead and execute data validation efforts for data pipelines, APIs, and analytics workflows within CI/CD environments.
• Develop and implement automated testing solutions using SQL, Python, and test automation frameworks (e.g., PyTest, WebdriverIO, Mocha).
• Design and manage QA dashboards and data visualization tools, such as Tableau and OpenSearch.
• Identify, troubleshoot, and resolve data quality issues, applying strong problem-solving skills and communicating results in business-friendly language.
• Collaborate effectively with cross-functional teams, influencing peers and leading initiatives without formal authority.
• Test and validate data across multiple connected devices/platforms (iOS, Android, Roku, Apple TV, SamsungTV) as needed.
• Utilize Git, YAML, and data governance frameworks in daily work.
• Apply or gain experience with AI/ML-based validation and automation tools.
• Demonstrate interest in leadership development and mentoring, with aspirations to grow into a management role.
