Job Description
We are seeking a Senior Data Engineer with strong experience in data extraction, transformation, and analytics to support enterprise reporting and system modernization initiatives. This role will play a critical part in sunsetting legacy systems, extracting and consolidating data, and enabling high-quality reporting through Power BI and Tableau. You will work closely with analytics, engineering, and business stakeholders while building and maintaining cloud-native data solutions on Azure. Key Responsibilities Design, build, and maintain scalable data pipelines using Python and cloud-native services Extract, transform, and load (ETL/ELT) data from legacy and sunsetting systems into modern analytics platforms Develop and optimize AWS Lambda-style serverless workloads (or equivalent patterns) using Python Model, store, and query structured data in PostgreSQL Support and enable business reporting and analytics, partnering with BI teams using Power BI and Tableau Ensure data accuracy, consistency, and availability for reporting and downstream analytics Collaborate with stakeholders to understand reporting requirements and translate them into technical solutions Implement and maintain DevOps best practices, including CI/CD pipelines, infrastructure automation, and monitoring Manage source control and collaboration using Git Work closely with Azure services to build reliable, secure, and scalable data platforms Monitor and troubleshoot data pipelines, ensuring performance, reliability, and cost efficiency We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orient