Overview:
As a Data Engineer within a technology-enabled health services organization, you will design, optimize, and operate data and AI-enabled solutions to address complex business challenges. You will work across infrastructure, performance engineering, DevOps, and security to ensure reliable, scalable delivery. This role emphasizes responsible AI deployment, operational excellence, and collaboration with cross-functional teams to improve health outcomes. The opportunity offers telecommuting within the U.S. and a pathway to develop higher-impact capabilities. Compensation / Benefits comprehensive benefits package incentive and recognition programs equity stock purchase 401k contribution
Responsibilities:
Design, develop, and deploy AI-powered solutions Oversee Infrastructure & Architecture and Performance Engineering Provide Operations Support including on-call duties Drive Automation & DevOps and lifecycle management Ensure Security & Compliance across systems Manage monitoring, backups, provisioning, patching, and capacity Handle Incident, Problem, and Change Management processes
Key requirements:
Bachelor's degree in CS or IT related field 5+ years of experience as a Data Engineer 5+ years of Snowflake database administration, operations, and production support 5+ years of experience in performance tuning and documenting solutions 5+ years of Monitoring, Backup/Recovery, DB provisioning/de-provisioning, patching, upgrades, and capacity administration 5+ years of Incident, Problem, and Change Management 5+ years of SQL 2+ years of Python with hands-on coding willingness Snowflake SQL Python React Power BI Grafana