Data Engineer (Healthcare)

VeeRteq Solutions Inc.

  • Philadelphia, PA
  • 11 days ago

    Highlights

    Role: Senior Data Engineer (Healthcare) Location: Philadelphia, PA (Hybrid) Duration: Long Term Summary: Seeking a Senior Data Engineer with 10+ years of experience to design, build, and lead enterprise-scale data platforms on Azure and Databricks . Key Responsibilities: Design and build scalable data platforms, data lakes, and lakehouse solutions.

    Numbers & Facts

    LocationPhiladelphia, PA

    Description

    Role: Senior Data Engineer (Healthcare) Location: Philadelphia, PA (Hybrid)
    Duration: Long Term
    Summary:

    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.

    Key Responsibilities:
    • 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.
    Required Skills:
    • 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.

    Similar Jobs