Data Engineer (Healthcare)

• Design and build scalable data platforms, data lakes, and lakehouse solutions.
• Develop and optimize ETL/ELT pipelines using Azure and Databricks.
• Lead data architecture, data modeling, and cloud modernization initiatives.
• Mentor data engineering teams and establish best practices.
• Improve platform performance, scalability, security, and cost efficiency.
• Implement CI/CD, monitoring, and production support processes.
• Collaborate with business leaders, architects, analysts, and product teams.
• Support analytics, reporting, AI/ML, and data-driven business initiatives.

Seeking a Senior Data Engineer with 10+ years of experience to design, build, and lead enterprise-scale data platforms on Azure and Databricks. The role combines hands-on development, solution architecture, technical leadership, and stakeholder management. Experience in Healthcare Payer environments is highly preferred., * Azure Databricks

• Azure Data Lake Storage (ADLS Gen2)
• Azure Data Factory (ADF)
• PySpark
• Python
• Advanced SQL
• Delta Lake
• Data Lakehouse Architecture
• Data Modeling
• ETL/ELT Development
• Azure Cloud Services
• Git & CI/CD
• Agile/Scrum

Preferred Skills:

• Azure Synapse Analytics
• Azure Event Hub
• Kafka
• Power BI
• Azure DevOps
• Terraform
• Data Governance & Metadata Management
• Monitoring & Observability Tools
• AI/ML Data Pipelines

Required Experience:

• 10+ years in Data Engineering
• 7+ years with Azure Data Services
• 5+ years with Azure Databricks
• Experience leading enterprise cloud data modernization projects

Nice to Have:

• Healthcare Payer domain experience (strong preference)
• Experience working directly with business stakeholders and leadership teams.