Data Quality Engineer (Data Platform QA / CDK / CI-CD)

Summary: The Data Quality Engineer role focuses on ensuring pipeline reliability and automated validation within data platforms. The position requires strong experience in integrating data testing into CI/CD workflows and Infrastructure as Code (IaC) environments. The role is a contract-to-hire opportunity lasting over 12 months and is fully remote. Candidates must possess specific AWS certifications and demonstrate expertise in testing data pipelines and automated testing frameworks.

Key Responsibilities:

• Ensure pipeline reliability and automated validation for data platforms.
• Integrate data testing into CI/CD workflows and IaC environments.
• Conduct testing of data pipelines (ETL/ELT) rather than UI applications.
• Perform data validation using strong SQL skills.
• Develop automated tests in Python, utilizing frameworks like pytest.
• Integrate tests into CI/CD pipelines.
• Utilize dbt tests, schema validation, or data quality frameworks.
• Work in CDK/IaC-driven environments for deploying infrastructure and pipelines via code.

Key Skills:

• AWS Certified Data Analytics -- Specialty.
• AWS Certified Developer -- Associate.
• Strong SQL for data validation (reconciliation, joins, anomalies, freshness).
• Automated testing experience in Python (pytest or similar).
• Familiarity with dbt tests and data quality frameworks.
• Experience with CI/CD pipeline integration.
• Exposure to CDK/IaC environments.

Salary (Rate): undetermined

City: undetermined

Country: undetermined

Working Arrangements: remote

IR35 Status: undetermined

Seniority Level: undetermined

Industry: IT