We are seeking a highly skilled Senior Data Engineer with 4–6 years of experience to support our Risk Adjustment Analytics team on a 3+ month contract. This role focuses on end-to-end data pipeline development, from ingestion to transformation and deployment, with a strong emphasis on Talend ETL development. The ideal candidate will have expertise in MongoDB, Snowflake, and AWS technologies, and demonstrate hands-on experience building and deploying solutions using GitLab, Jenkins, ECS, and Kubernetes. This is a fully remote role, contributing to high-impact projects like WHAMM (Whole Health Actionable Member Metrics), where you will collaborate closely with cross-functional teams to drive actionable data insights. Strong Python skills and familiarity with cloud infrastructure and DevOps best practices are essential. 100% Remote. MUST HAVES: • 4-6 years experience • Talend • MongoDB, Snowflake • AWS, GitLab ------------------------------------- • Strong ETL development experience using MongoDB, Python. • Strong application development experience with Informatica IDMC, Snowflake and AWS S3 bucket. • Development experience building DevOps automation pipelines in GitLab and Jenkins. • Deployment experience with Amazon ECS and Kubernetes. • Experience architecting and developing applications on MongoDB, Snowflake and AWS. • Development experience with data intensive AWS Lambda functions, deployment functions to receive and process events from S3 buckets. · Exposure to Snowpipe and Snowflake integration patterns. NICE TO HAVES: • Teradata/SQL Server • SSIS • React.js, Node.js, Angular.js • jQuery