Principal Data Engineer

Talent Groups is seeking an experienced Principal Data Engineer to join a growing healthcare technology team. This role will serve as a senior technical leader responsible for driving architecture strategy, hands-on engineering, data governance, and platform scalability across a modern healthcare data ecosystem.

Responsibilities:

• Partner with business stakeholders, clinicians, analysts, data scientists, and product teams to translate business requirements into scalable data solutions
• Lead enterprise-wide data modernization initiatives and platform transformation efforts
• Mentor engineers and establish technical standards, best practices, and governance processes

Requirements:

• Bachelor's degree in Computer Science, Engineering, or related field
• Overall 12-14 years of experience in IT industry with 6-7+ years of experience in Data Engineering
• Atleast 2+ years in a Senior, Lead, Principal engineering role
• Strong hands-on expertise with Databricks, Spark, Delta Lake, dbt, Python, PySpark, and Spark SQL
• Experience designing and managing enterprise-scale cloud data platforms, preferably in Azure
• Hands-on experience with Microsoft Fabric, Data Factory, OneLake, and Lakehouse architectures
• Strong knowledge of distributed data processing and cloud-native engineering principles
• Experience building modular and extensible data engineering frameworks
• Experience working in HIPAA-regulated environments and handling PHI securely
• Healthcare industry experience with EHR, claims, HL7/FHIR, Epic, Caboodle, or Clarity data models
• Experience with Epic integrations, Cogito Cloud, and incremental healthcare data pipelines
• Exposure to advanced analytics, machine learning, or enterprise data governance initiatives