Principal Data Engineer

Description:

We are seeking an experienced Principal Data Engineer to join a growing healthcare technology team and lead the design, development, and modernization of enterprise-scale cloud data platforms.

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.

Leadership & Collaboration

• 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.

Required Qualifications

• 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.

Preferred Qualifications

• 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.

Why Join Us?

• Opportunity to lead enterprise healthcare data transformation initiatives.
• Work with modern cloud-native technologies and scalable data platforms.
• Fully remote work environment with collaborative and innovative engineering teams.
• High-impact role influencing long-term enterprise data strategy and architecture.