Data Quality Engineer (AWS Data Platform)

Job Description Title: Data Quality Engineer (AWS Data Platform) Location: Remote in USA W2 Only This is not a data engineer role Overview We are seeking a highly skilled Data Engineering - Quality Engineer to define and implement end-to-end testing strategies for a modern data platform built on AWS. This role will be responsible for ensuring data quality, reliability, and performance across the entire pipeline; from ingestion to transformation and reporting; within the Redshift BI Foundations program. Key Responsibilities • Define the end-to-end testing scope based on solution architecture and project OPM documentation • Design and implement a comprehensive testing strategy and plan aligned with organizational QA standards • Develop and maintain test scripts and frameworks for the Redshift BI Foundations platform • Perform testing across key technologies, including: • AWS Redshift • AWS DMS (Data Migration Service) • AWS Glue • Terraform • Python-based data pipelines • Apache Airflow (via Astronomer managed interface) • dbt (data build tool) • Soda.io (data quality and observability) • Build and implement automated testing solutions to ensure: • End-to-end data validation • Data ingestion accuracy • Transformation logic integrity • Data pipeline reliability • Conduct test coverage analysis and ensure adequate validation across all data engineering workflows • Prepare and manage test data • Review and provide feedback on: • Solution architecture • Data models • Design and technical documentation • Collaborate with cross-functional teams (Data Engineering, BI, DevOps, Product) to: • Identify testing impacts • Mitigate risks • Ensure high-quality deliverables Required Qualifications • Proven experience in data engineering testing / data QA / ETL validation • Strong hands-on experience with AWS data services (Redshift, Glue, DMS) • Proficiency in Python for test automation and validation • Experience with Airflow (Astronomer preferred) and orchestration testing • Hands-on experience with dbt and data transformation validation • Familiarity with Terraform for infrastructure validation • Experience in BI testing in Tableau will be highly beneficial • Experience with data quality tools such as Soda.io or similar • Strong understanding of: • Data warehousing concepts • ETL/ELT pipelines • Data validation techniques (schema, reconciliation, anomaly detection) Preferred Qualifications • Experience designing enterprise-level test strategies for data platforms • Knowledge of CI/CD pipelines for data and test automation • Experience working in Agile / Scrum environments • Familiarity with data observability frameworks