Senior Data Engineer (ETL / Python Developer)

Enterprise Data Warehouse (EDW) & Analytics Program Work Arrangement Remote Travel Periodic travel as required based on project or customer needs Reports To EDW Delivery Lead / Data Engineering Manager About the Role We are seeking a hands-on Senior Data Engineer (ETL / Python Developer ) to support a large-scale Enterprise Data Warehouse (EDW) and Analytics Progra m. This role is responsible for designing, developing, and maintaining scalable data ingestion and transformation pipelines that support healthcare analytics, regulatory reporting, and enterprise decision support .The ideal candidate will bring strong expertise in ETL developmen t, Python engineerin g, Teradat a, and modern cloud-based data platforms. This position requires close collaboration with architects, analysts, QA teams, project managers, subject matter experts, developers, and business intelligence teams to deliver high-quality, reliable data solutions in a regulated and audit-sensitive environment .Key Responsibilitie gDesign, develop, and maintain enterprise ETL pipelines using Azure Data Factory (ADF , Informatica PowerCente r, and Python-based framework s .Build and optimize scalable data processing solutions using Pytho n, Apache Spar k, and Databrick s .Develop and optimize SQL queries, stored procedures, and database objects across platforms such as Snowflak e, Oracl e, and SQL Serve r .Apply data engineering best practices to ensure performance, scalability, reliability, reusability, and security .Analytics, Reporting & Data Qualit ySupport healthcare analytics and regulatory reporting initiatives .Develop robust data validation, reconciliation, and audit-ready data pipelines .Partner with analysts, QA teams, and reporting stakeholders to ensure data quality, accuracy, and timeliness .Implement controls and monitoring processes to maintain trusted and compliant data assets .Modernization, Operations & Collaboratio nParticipate in cloud migration and modernization initiatives leveraging Azure-based data architecture s .Support production operations, incident management, troubleshooting, and root cause analysis .Contribute to code reviews, source control management, and CI/CD processes using Azure DevOp s and GitHu b .Collaborate across cross-functional teams to deliver scalable and maintainable data solutions .RequiredQualificatio ns5+ years of experience i n data engineeri ng with a focus on enterprise data warehousin g.5+ years of hands-on ETL development experience usin g Informatica PowerCent er , Terada ta , Azure Data Facto ry, or similar technologie s.5+ years of experience developing solutions i n Pyth on for data engineering and automatio n.5+ years of experience working wit h Terada ta, including Teradata loading and utility tool s.3+ years of experience wit h Spark-based processing framewor ks such a s Databric k s.Strong SQL expertise and experience working with relational databases, includin g Snowfla ke , Orac le, an d SQL Serv e r.3+ years of experience wit h Snowfla ke, includin g SnowS QL an d Snowpark (Pytho n ).Experience with source control and DevOps practices usin g Azure DevO ps , GitH ub, and CI/CD pipeline s.Strong analytical, problem-solving, and troubleshooting skill s.Ability to work effectively in a fast-paced, collaborative environmen t.Willingness to travel periodically as require d.PreferredQualificati onsBachelor's degree or higher in Computer Scie nc e, Engineer in g, Analyt ics, or a related fie ld. Azure certifications related to Data Engineer ing or Analyt i cs. Experience supporti ng Enterprise Data Warehouse (E DW) environmen ts. Healthcare, payer, public sector, or regulated-industry analytics experien ce. Data modeling experience in enterprise data warehouse environmen ts. Automation and orchestration scripting usi ng PowerSh ell or B a sh. Experience designing, integrating, or consumi ng REST A PIs within data platfor ms. Familiarity with data quality frameworks, reconciliation processes, and audit support requiremen ts. Location & Work Mo delWork Arrangeme nt: Remote (U.S.-bas ed)Trav el: Periodic travel may be required based on project or customer nee