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Mid-level generalist Data Engineer with common Python/SQL skills increases applicant density.
Core data engineering skills are broadly transferable across industries despite healthcare domain context.
Explicit 4+ years plus mandatory Python, SQL, and production support skills enforce moderate filtering.
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Own and manage data transfer processes including setup and onboarding for contributors and customers.
Design, develop, maintain, and support Python-based data pipelines, workflows, and automation solutions with production readiness.
Provide L2/L3 production support including monitoring, troubleshooting, incident management, and continuous process improvement using AI-enabled approaches.
4+ years of experience in Data Engineering or Data Management with production pipeline support.
Bachelor’s degree in Engineering, Computer Science, or related field, or equivalent practical experience.
Strong proficiency in Python, SQL, and data manipulation/query languages.
Experience with automation frameworks, production support activities, and working knowledge of AI-assisted techniques and Agile methodologies.
Experienced in end-to-end data transfer ownership and cross-functional stakeholder collaboration for requirements gathering.
Capable of maintaining high-quality, reusable Python code in complex data engineering environments with production support responsibilities.
Experienced with automation and AI-driven process improvements within Agile teams and operational tooling.