ETL Data Engineer

The Data Engineer is responsible for delivering data warehouse, analytics solutions by ingesting, integrating, and curating data from Epic and non-Epic source systems. This role supports ETL development, data modeling, and solution delivery using Epic reporting analytics tools such as Clarity, Caboodle, and Cogito to enable enterprise reporting and analytics.

Key Responsibilities

• Deliver data warehouse and analytics solutions through data ingestion, integration, transformation, and curation of healthcare data
• Design, develop, and support ETL processes using Epic tools, including Clarity ETL, Caboodle ETL, and Cogito components
• Develop custom imports and integration processes to move Epic and non-Epic data into Caboodle and related enterprise data warehouse environments
• Apply strong relational database expertise, including advanced SQL, complex queries, stored procedures, and performance tuning
• Partner with architecture, reporting, and business teams to design and implement scalable data solutions aligned with enterprise standards
• Work with business users to gather requirements and recommend analytical and integration solutions that meet reporting and operational needs
• Ensure data models, ETL workflows, and database structures are consistent with approved data architecture standards.
• Evaluate data quality, troubleshoot ETL issues, and communicate findings in a clear and concise manner
• Document technical designs, ETL workflows, programming changes, and system maintenance procedures
• Support source-to-target mapping, data profiling, change data capture, and validation of data pipelines

Skills & Experience

• Experience in data engineering, ETL development, or data warehousing within a healthcare environment
• Hands-on experience creating DMCs in Epic data platforms such as Clarity & Caboodle databases
• Strong SQL and relational database skills, including stored procedures and query optimization
• Experience integrating non-Epic data into Caboodle or enterprise analytics platforms
• Experience with ETL workflows, data validation, and performance tuning
• Familiarity with healthcare reporting, enterprise analytics, and operational data workflows
• Healthcare Background preferred; Strong documentation, analytical, and communication skills
• Epic certifications in Clarity Data Model, Caboodle Data Model, or Caboodle Development (preferred)
• Ability to work independently with stakeholders to gather requirements and translate them into scalable data solutions