Epic Data Engineer

EPITEC is seeking an experienced Epic Data Engineer to design, build, and maintain scalable data solutions across both on-premises and cloud environments. The role focuses on developing robust data pipelines, optimizing data architecture, and transforming complex healthcare data into reliable, actionable datasets.

Responsibilities:

• Design, develop, test, and deploy ELT/ETL processes across multiple data sources and platforms with minimal supervision
• Build and optimize scalable data pipelines to support business intelligence and analytics initiatives
• Collaborate with architects, data analysts, BI developers, and data scientists to deliver high-quality data solutions
• Analyze and identify patterns within complex datasets to improve data usability and reliability
• Provide operational support, troubleshooting, and maintenance for data warehouses, datasets, and pipeline-related issues
• Participate in the design and implementation of conceptual, logical, and physical data models
• Implement and maintain CI/CD processes to streamline data delivery and reduce manual intervention
• Ensure adherence to SDLC best practices and organizational standards for data governance and security
• Maintain compliance with regulations related to PHI and PII data handling
• Contribute to Agile ceremonies, including backlog grooming, sprint planning, and technical solutioning
• Mentor and provide guidance to junior and mid-level engineers on best practices and technical development

Requirements:

• Must have Epic certifications in Cogito Fundamentals, ClarityData Model, and Caboodle Data Model
• Strong programming experience with proven ability to build and optimize data pipelines
• Minimum 5+ years of experience in data engineering, application development, or system development lifecycle (coding, testing, implementation)
• Hands-on experience with data warehousing and business intelligence concepts
• Strong analytical and problem-solving skills with the ability to troubleshoot complex data issues
• Ability to work effectively within a diverse technology stack and independently manage workload
• Strong written and verbal communication skills
• Bachelor's degree required; Master's degree preferred
• Additional Epic certifications (Cogito Tools Administration or Caboodle Development)
• Experience working with Snowflake
• Experience with Facets
• Prior healthcare data experience strongly preferred