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Mid-level data engineer in metro with common skillset and wide hiring pool increases competition.
Core Python/SQL data engineering skills are broadly transferable across industries despite healthcare context.
Explicit 4+ years plus mandatory Python, SQL, production support and automation skills create moderate filtering.
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Own and manage end-to-end data transfer processes including setup and onboarding for contributors and customers.
Design, develop, maintain, and support Python-based data pipelines, workflows, and automation solutions ensuring efficiency and adherence to standards.
Provide L2/L3 production support including monitoring pipeline health, troubleshooting issues, root cause analysis, incident management, and process improvement using AI and automation.
4+ years of experience in Data Engineering or Data Management with technical competency and production data pipeline support experience.
Bachelor's degree in Engineering, Computer Science, or related field, or equivalent practical experience.
Strong proficiency in Python for data processing, scripting, automation, and production support.
Proficiency in SQL and data manipulation/query languages; experience with automation frameworks and tools; working knowledge of AI-assisted techniques and software engineering best practices.
Experience working with cross-functional technical stakeholders to gather and finalize business and technical requirements.
Comfortable supporting production environments including incident management, monitoring, alert triage, and service recovery.
Demonstrates ability to translate product requirements into scalable and maintainable data engineering solutions with attention to engineering standards and best practices.