Senior Data Engineer
Core
Design, build, and modernize enterprise data integrations and cloud-based frameworks to support business transformation and acquisition data migration.
Role type
Senior Data Engineer (ETL & Cloud Integration)
Builds
Scalable cloud-based integration frameworks, ETL processes, and data pipelines for business systems.
Domain
Healthcare / Enterprise Data Engineering
Deliverable
production ML models | product features | dashboards & analysis
Required skills
ETL development, Microsoft SQL Server, SSIS, Python, PowerShell, Azure Data Factory, Azure Synapse Analytics, data pipeline troubleshooting, complex SQL query optimization, API integration, data governance
Preferred skills
Snowflake, AWS environments, Workday integrations, handling sensitive data (PII/PHI), legacy system modernization
Technologies
Microsoft SQL Server, SSIS, Python, PowerShell, Azure Data Factory, Azure Synapse Analytics, Microsoft Fabric, Snowflake, AWS, Workday
Responsibilities
Design and deploy data integration solutions between enterprise applications and business systems; Develop and maintain ETL processes; Troubleshoot data quality issues and integration failures; Optimize complex SQL queries and stored procedures; Implement monitoring, error handling, and alerting for data pipelines; Mentor team members on cloud and data integration best practices.
Seniority
Senior, hands-on IC with mentorship responsibilities
