Senior Data Quality Engineer

We are seeking a Senior Data Quality Engineer with strong experience in Python, SQL, and automated data testing frameworks. This role focuses on building scalable data quality and validation frameworks for modern data pipelines in a Databricks environment. Key Responsibilities: Build and maintain automated testing frameworks for data pipelines Validate data ingestion, transformations, and data quality across multiple sources Implement data quality tools such as Great Expectations, dbt te

Job Title: Sr Data Quality Engineer Location: Chicago, IL Duration: 7+ months contract Job Description: Data Quality Engineering & Frameworks Design and implement enterprise-wide data quality frameworks aligned to Lakehouse architecture (bronze, silver, gold layers) Define and enforce data quality rules including completeness, accuracy, consistency, timeliness, and validity Develop reusable data validation, reconciliation, and monitoring patterns within Databricks pipelines Establish automated

Job Title: Sr Data Quality Engineer Duration: Long Term - Can be extended Location: Chicago, IL. Job Description: Data Quality Engineering & Frameworks Design and implement enterprise-wide data quality frameworks aligned to Lakehouse architecture (bronze, silver, gold layers)Define and enforce data quality rules including completeness, accuracy, consistency, timeliness, and validityDevelop reusable data validation, reconciliation, and monitoring patterns within Databricks pipelinesEstablish aut

Data Quality Engineering & FrameworksDesign and implement enterprise-wide data quality frameworks aligned to Lakehouse architecture (bronze, silver, gold layers) Define and enforce data quality rules including completeness, accuracy, consistency, timeliness, and validity Develop reusable data validation, reconciliation, and monitoring patterns within Databricks pipelines Establish automated data quality checks embedded within ELT/ETL workflows Databricks & Pipeline Integration Integrate data qua