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Mid-level, metro-based generalist data role with common Snowflake/Python skills increases competition.
Snowflake/Python skills are transferable, but HIPAA and healthcare data domain raise sensitivity.
Mandatory Snowflake, Python, expert SQL and 3+ years data engineering requirement enforces strict filters.
Design, develop, and maintain scalable data solutions using Snowflake, Python, and SQL for large-scale healthcare datasets.
Analyze healthcare data to support reporting, analytics, and business insights, ensuring data quality and performance optimization.
Collaborate with business analysts and stakeholders to translate healthcare business requirements into technical data solutions, support UAT, and ensure compliance with healthcare data standards and regulations.
Bachelor's degree in Information Technology, Computer Science, or related field.
3+ years of experience in data engineering or software engineering roles.
Strong hands-on experience with Snowflake (data modeling, performance tuning, SQL optimization), Python, and expert-level SQL skills.
Experience with large complex datasets in cloud data platforms and knowledge of data warehousing concepts, dimensional modeling, and ETL/ELT patterns.
Experienced in handling and optimizing large-scale healthcare datasets within cloud environments.
Skilled in translating healthcare business requirements into robust technical data engineering solutions with attention to data governance and compliance (HIPAA, PHI/PII).
Able to perform root-cause analysis and implement scalable fixes; capable of contributing to code and design reviews, emphasizing best practices in data engineering.