Senior Data Quality Engineer
: Job Details :

This range is provided by The Phoenix Group. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$175,000.00/yr - $195,000.00/yr

The Senior QA Engineer will play a key role in ensuring the accuracy, reliability, and performance of data-driven applications and reporting systems within the organization. This role involves validating data pipelines, dashboards, and analytics solutions that support business operations. The Senior QA Engineer will work closely with cross-functional teams to implement data quality best practices, proactively identify and resolve data issues, and maintain high standards of data integrity and compliance.

• Design, develop, and execute comprehensive test plans for data pipelines, ETL processes, and reporting solutions.
• Validate data accuracy, completeness, and consistency across data sources, data warehouses, and BI tools.
• Develop and maintain automated data validation tests using SQL and scripting languages.
• Collaborate with cross-functional teams to understand data requirements and translate them into test cases and quality checks.
• Monitor data quality metrics and proactively identify and resolve anomalies or issues.
• Partner with business stakeholders and technical teams to ensure data governance and compliance standards are met.
• Perform regression testing on data models, dashboards, and reports following updates or deployments.
• Troubleshoot and optimize data validation processes and queries for performance and scalability.
• Support end-user testing and training for BI and reporting solutions.
• Document QA processes, test cases, and results to ensure transparency and continuous improvement.

Experience:

• Minimum of 5 years of experience in QA or data quality engineering, focused on data analytics and BI environments.
• Proven experience testing data pipelines, ETL processes, and data warehouse solutions.
• Strong SQL skills and experience with relational databases (examples include Snowflake, SQL Server, Redshift).
• Excellent analytical and problem-solving skills with a high level of attention to detail.
• Experience working with data visualization and BI platforms (examples include Tableau, PowerBI).
• Experience working in cloud environments (such as AWS or Azure) and with data pipeline tools (such as Airflow, dbt).
• Familiarity with data validation frameworks (e.g., Great Expectations, dbt tests) is a plus.
• Experience with specialized data platforms or ERP systems is a significant advantage.

Seniority level

• Seniority levelMid-Senior level

Employment type

• Employment typeFull-time

Job function

• Job functionEngineering and Analyst
• IndustriesProfessional Services, Financial Services, and Legal Services

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Inferred from the description for this job

Medical insurance

Vision insurance

401(k)

Paid maternity leave

Paid paternity leave

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