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VeeRteq Solutions Inc.

Senior Data Engineer (Healthcare)

VeeRteq Solutions Inc.
Philadelphia, PA Full time Posted 12d ago
Senior Analytics Automation Developer Azure Data Engineer Azure Data Lake Big Data Bigdata Business Analytics Business Intelligence Cloud Cloud Data Engineering Cloud Data Platform Cloud Platform Cloud Platforms Data Data Analysis Data Analytics Data Analytics Tools Data Architecture Data Engineer Data Engineering Data Integration Data Lake Data Lakehouse Data Pipeline Data Platform Data Processing Data Visualization Data Warehouse Database Databases Databricks ETL Healthcare Data Engineering Healthcare Data Integration Hr Technology Informatica Information Technology (IT) Microsoft Microsoft Office Microsoft Power Platform Power BI Power Platform Reporting and Analytics Software Development SQL
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Job Description

VeeRteq Solutions Inc. is seeking a Senior Data Engineer to build and support cloud-based data platforms for a healthcare environment in Philadelphia, PA (hybrid). The role emphasizes scalable data pipeline development, analytics and reporting enablement, and dependable data foundations to support data-driven decisions.

Role Summary

This position requires 7+ years of data engineering experience, with hands-on work across Azure and Azure Databricks. You will develop and optimize ETL/ELT workflows, implement Lakehouse and Delta Lake patterns, and contribute to migration, modernization, and cloud transformation initiatives within healthcare-related data ecosystems.

Key Responsibilities

  • Build and maintain ETL/ELT data pipelines.
  • Develop data solutions using Azure Databricks, Azure Data Factory (ADF), and Azure Data Lake Storage (ADLS).
  • Create and optimize PySpark and SQL based data processing frameworks.
  • Implement Delta Lake and Lakehouse architectures.
  • Support data migration, modernization, and cloud transformation projects.
  • Ensure data quality, reliability, and performance across pipelines and datasets.
  • Build data models and curated datasets to support reporting and analytics.
  • Implement CI/CD, monitoring, and DevOps best practices.
  • Collaborate with business users, architects, and product teams in an Agile environment.

Required Skills and Technologies

  • Azure Databricks
  • Azure Data Factory (ADF)
  • Azure Data Lake Storage (ADLS Gen2)
  • PySpark, Python, and SQL
  • Delta Lake, Data Modeling, and ETL/ELT Development
  • Azure Cloud Platform
  • Git & CI/CD
  • Agile/Scrum

Preferred Skills

  • Azure Synapse Analytics
  • Power BI
  • Azure DevOps
  • Infrastructure as Code (IaC)
  • FHIR/HL7
  • AI/ML Data Pipelines

Experience Requirements

  • 7+ years in Data Engineering
  • 5+ years with Azure Data Technologies
  • 2+ years in Healthcare, Payer, Health Plan, or Managed Care domains
  • Experience with large-scale data pipelines and integration solutions

Additional Domain Exposure (Nice to Have)

  • Claims Data
  • Membership Data
  • Provider Data
  • Care Management Data

Technical Environment

Work will involve Azure Databricks, Azure Data Factory (ADF), Azure Data Lake Storage (ADLS Gen2), PySpark, Python, SQL, Delta Lake, Azure Cloud Platform, Git, CI/CD, Lakehouse architectures, and DevOps. The role also references tools and patterns such as Azure Synapse Analytics, Power BI, Azure DevOps, and Infrastructure as Code (IaC), along with healthcare data standards and pipelines including FHIR/HL7 and AI/ML Data Pipelines.

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