Senior Data Engineer

ChenMed is a family-owned and physician-led healthcare provider transforming healthcare for seniors. The Senior Data Engineer will develop and maintain data infrastructure and Business Intelligence systems, utilizing expertise in Snowflake and modern data technologies to drive data-driven decision-making across the organization.

Responsibilities:

• Design, develop, and optimize data pipelines using Snowflake, focusing on efficient ETL (Extract Transform Load)/ELT (Extract Load, Transform) processes and adhering to data warehouse best practices
• Implement and manage scalable data models and transformations using tools like dbt (Data Build tool) in conjunction with Snowflake
• Create and maintain complex SQL queries, stored procedures, and user-defined functions in Snowflake
• Develop reports, dashboards, and analytics solutions using Snowflake and compatible BI tools
• Collaborate with data architects, DBAs, and other stakeholders to ensure data solutions are reliable, scalable, and maintainable
• Proactively identify and resolve data quality issues, improving data integrity across systems
• Document data processes, architectures, and code to ensure knowledge transfer and maintainability
• Mentor junior team members and provide technical guidance on Snowflake best practices
• Performs other duties as assigned and modified at manager’s discretion

Requirements:

• BA/BS degree in Computer Science, Data Engineering, or related field; additional experience above the minimum may be considered in lieu of the required education on a year-for-year basis
• A minimum of 5 years' work experience in data engineering or related roles required
• Extensive experience with Snowflake, including data modeling, performance tuning, and security features
• Strong proficiency in SQL and experience with Python or other programming languages
• Expertise in data warehouse concepts and modern data architectures
• Experience with cloud platforms (AWS, Azure, or GCP) and data integration tools
• Familiarity with BI tools compatible with Snowflake (e.g., Tableau, Power BI, or Looker)
• Strong analytical and problem-solving skills with attention to detail
• Excellent communication skills and ability to collaborate with both technical and non-technical stakeholders
• Advanced skill in Microsoft Office Suite products including Excel, Word, PowerPoint and Outlook; competent in other systems required for the position
• Ability and willingness to travel locally, regionally and/or nationally up to 10% of the time; flexible to work evening, weekends and/or holidays as needed
• Spoken and written fluency in English
• This job requires use and exercise of independent judgment
• Design, develop, and optimize data pipelines using Snowflake, focusing on efficient ETL (Extract Transform Load)/ELT (Extract Load, Transform) processes and adhering to data warehouse best practices
• Implement and manage scalable data models and transformations using tools like dbt (Data Build tool) in conjunction with Snowflake
• Create and maintain complex SQL queries, stored procedures, and user-defined functions in Snowflake
• Develop reports, dashboards, and analytics solutions using Snowflake and compatible BI tools
• Collaborate with data architects, DBAs, and other stakeholders to ensure data solutions are reliable, scalable, and maintainable
• Proactively identify and resolve data quality issues, improving data integrity across systems
• Document data processes, architectures, and code to ensure knowledge transfer and maintainability
• Mentor junior team members and provide technical guidance on Snowflake best practices
• Experience with real-time data streaming and processing
• Knowledge of machine learning concepts and their data requirements
• Familiarity with data governance and security best practices
• Master's degree preferred
• Experience in the healthcare or finance industry