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

Title: Sr Data Quality Engineer Location: Chicago, IL Position Type: Contract Compensation Pay Range:$61.25-$87.50 Per Hr Description Join our team as a Sr Data Quality Engineer in the Chicago, IL area. This hybrid contract position involves designing and implementing data quality frameworks, integrating quality controls, and ensuring data governance. The role requires experience with data engineering tools and methodologies. Develop and implement data quality frameworks aligned with modern da

Be an expert in writing and executing test cases, managing and analyzing large sets of data, creating automation scripts, and communicating relevant insights to the team Love to collaborate with other data professionals, engineers, and business operation experts to understand and address reporting needs Experience with both traditional and big data streaming Create and maintain complex SQL queries such as; type 2 triggers, various joins, aggregations, groupings, and more Execute ETL jobs using o

Be an expert in writing and executing test cases, managing and analyzing large sets of data, creating automation scripts, and communicating relevant insights to the team Love to collaborate with other data professionals, engineers, and business operation experts to understand and address reporting needs Experience with both traditional and big data streaming Create and maintain complex SQL queries such as; type 2 triggers, various joins, aggregations, groupings, and more Execute ETL jobs using o