7220 - Senior Azure Data Engineer Data Warehouse & Analytics (Must Reside in Sacramento, CA)

7220 - Senior Azure Data Engineer Data Warehouse & Analytics (Must Reside in Sacramento, CA)

Location: Sacramento Area, CA
Job Type: Contract
Duration: 2+ Years
Work Authorization: Must be authorized to work in the United States
Schedule: Monday Friday, standard business hours
Work Environment: Onsite

Position Overview

Seeking a Senior Azure Data Engineer with strong experience in enterprise data warehouse development, cloud-based data integration, and advanced analytics solutions. This role will support large-scale healthcare and enterprise reporting initiatives through the design, development, maintenance, and optimization of modern data platforms and pipelines.

The ideal candidate will have hands-on expertise with Azure data technologies, ETL development, data modeling, and Power BI reporting solutions in a complex enterprise environment.

Responsibilities

• Design and build modern data pipelines and data streaming solutions
• Develop and maintain enterprise data warehouse architectures and database solutions
• Create Star, Snowflake, and Galaxy schema data models
• Perform ETL development, validation, and optimization activities
• Develop and maintain Azure Data Factory (ADF) pipelines and ETL processes
• Integrate data from multiple sources into Azure Synapse Analytics environments
• Develop technical architecture and analytics solutions for enterprise reporting needs
• Expose data to end users through Power BI, APIs, and modern visualization platforms
• Monitor and optimize data loads, queries, and reporting performance
• Troubleshoot data integrity and data quality issues
• Support secure data integrations, including PGP key management and Azure Key Vault administration
• Support enterprise analytics and reporting initiatives involving healthcare and operational datasets
• Assist with implementation of monitoring, metrics, and operational support processes
• Participate in status meetings, documentation, knowledge transfer, and technical collaboration efforts

Required Qualifications

• Strong experience with enterprise data warehouse design and implementation
• Experience developing ETL processes and modern data pipelines
• Hands-on experience with Azure Data Factory (ADF)
• Experience with Azure Synapse Analytics
• Experience with relational and non-relational database technologies
• Strong SQL development and database optimization experience
• Experience creating Star, Snowflake, and Galaxy schema models
• Experience with Power BI and enterprise reporting solutions
• Experience designing and implementing cloud-based analytics platforms
• Experience troubleshooting data integration and data quality issues
• Strong understanding of API integrations and modern data access methods
• Experience with Azure Key Vault and secure data management practices
• Ability to work independently in a collaborative enterprise environment
• Strong written and verbal communication skills

Desired Qualifications

• Experience supporting healthcare or government enterprise systems
• Experience with advanced analytics and large-scale reporting environments
• Experience with data streaming technologies
• Familiarity with enterprise security and compliance environments
• Experience supporting Azure-based GenAI or AI/ML related initiatives
• Experience implementing monitoring and operational metrics for enterprise platforms
• Knowledge of modern cloud architecture best practices
• Experience working in Agile or enterprise SDLC environments

Additional Information

• Candidates may be required to complete background screening and fingerprinting requirements
• Candidates must be comfortable working in a highly regulated enterprise environment
• Local candidates preferred

To Apply:
Send resumes to

No third parties or subcontracting firms.