Data Engineer
Analytics
Automation Developer
Azure
Azure Data Factory
Azure Data Platform
Azure Event Hubs
Azure Synapse Analytics
Big Data
Bigdata
Business Analytics
Business Intelligence
Cloud
Cloud Data Engineering
Cloud Data Platform
Cloud Platform
Cloud Platforms
Cloud Platforms Cloud Platforms
Data
Data Analysis
Data Analytics
Data Analytics Tools
Data Architecture
Data Engineer
Data Engineering
Data Factory
Data Factory Azure
Data Integration
Data Lake
Data Lakehouse
Data Pipeline
Data Pipelines
Data Platform
Data Processing
Data Visualization
Data Warehouse
Database
Databases
Databricks
Design
Digital Marketing
ETL
Event Driven Architecture
Hr Technology
Informatica
Information Technology (IT)
Microsoft
Microsoft Azure
Microsoft Office
Microsoft Power Platform
Power BI
Power Platform
Programming Languages
Reporting and Analytics
Software Development
Spark
SQL
Streaming Data
Visual Design
Job Description
Hybrid role in Philadelphia focused on building and modernizing enterprise data platforms. This Senior Data Engineer position at VeeRteq Solutions Inc. combines hands-on development with solution architecture, technical leadership, and close collaboration across business and product teams. You will design scalable lakehouse solutions on Azure and Databricks, improving performance, security, and cost efficiency while enabling analytics, reporting, and AI/ML initiatives. Healthcare payer experience is a strong preference.
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 repeatable best practices.
- Enhance platform performance, scalability, security, and cost efficiency.
- Implement CI/CD, monitoring, and production support processes.
- Collaborate with business leaders, architects, analysts, and product teams to align data capabilities with priorities.
- Support analytics, reporting, AI/ML, and data-driven business initiatives.
Requirements
- 10+ years in data engineering
- 7+ years with Azure data services
- 5+ years with Azure Databricks
- Experience leading enterprise cloud data modernization projects
- Azure Databricks; Azure Data Lake Storage (ADLS Gen2)
- Azure Data Factory (ADF); PySpark; Python
- Advanced SQL; Delta Lake
- Data Lakehouse architecture and 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
Additional Nice to Have
- Healthcare payer domain experience (strong preference)
- Experience working directly with business stakeholders and leadership teams
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