Data Engineer II

BravoTech is a leader in IT staffing and staff augmentation services, and they are seeking an Azure Data Engineer II for a preferred client. The role involves designing and developing scalable data pipelines, collaborating with cross-functional teams to deliver reliable data solutions, and optimizing SQL queries for performance and efficiency.

Responsibilities:

• Candidate must have experience writing SQL Code from Scratch
• Must have minimum 2 years of Python Scripting experience
• Building Data Pipelines using Azure Data Factory
• Design and development of scalable data pipelines. In this role, you will collaborate with cross-functional teams to deliver reliable, high-quality data solutions that directly support patients, providers, and the business
• Design, build, and maintain scalable data pipelines (ETL/ELT) to support analytics, reporting, and operational needs
• Collaborate with senior Data Engineers, BI developers, and analysts to develop robust, efficient, and well-documented data solutions
• Contribute to architecture discussions and data flow design, ensuring best practices for performance, quality, and scalability
• Optimize SQL queries, data models, and ETL processes for performance and efficiency
• Implement testing, monitoring, and error handling for production-grade pipelines
• Ensure data quality, lineage, and documentation across subject areas
• Partner with business stakeholders to translate requirements into technical solutions
• Work with cloud-based data sources, including structured, semi-structured, and unstructured data
• Strong SQL skills, including query optimization and data modeling (relational and/or dimensional)
• Hands-on experience with ETL/ELT design and development
• Proficiency in at least one programming language (Python, C#, Java, or Spark)
• Familiarity with modern data warehouse technologies (Snowflake, Azure Synapse, AWS Redshift, etc.)
• Demonstrated ability to troubleshoot SQL Server, Windows Server, and related environments
• Familiarity with CI/CD practices for data pipelines (e.g., GitHub Actions, Azure DevOps)

Requirements:

• Azure Data Engineer
• SQL Coding
• ETL
• Python
• Azure Synapse
• GitHub Actions
• ADF or Azure Data Factory
• SQL Server
• Experience writing SQL Code from Scratch
• Minimum 2 years of Python Scripting experience
• Building Data Pipelines using Azure Data Factory
• Design and development of scalable data pipelines
• Collaborate with cross-functional teams to deliver reliable, high-quality data solutions
• Design, build, and maintain scalable data pipelines (ETL/ELT)
• Collaborate with senior Data Engineers, BI developers, and analysts
• Contribute to architecture discussions and data flow design
• Optimize SQL queries, data models, and ETL processes for performance and efficiency
• Implement testing, monitoring, and error handling for production-grade pipelines
• Ensure data quality, lineage, and documentation across subject areas
• Partner with business stakeholders to translate requirements into technical solutions
• Work with cloud-based data sources, including structured, semi-structured, and unstructured data
• Strong SQL skills, including query optimization and data modeling (relational and/or dimensional)
• Hands-on experience with ETL/ELT design and development
• Proficiency in at least one programming language (Python, C#, Java, or Spark)
• Familiarity with modern data warehouse technologies (Snowflake, Azure Synapse, AWS Redshift, etc.)
• Demonstrated ability to troubleshoot SQL Server, Windows Server, and related environments
• Familiarity with CI/CD practices for data pipelines (e.g., GitHub Actions, Azure DevOps)
• Must have Degree
• 6+ years of experience as an Azure Data Engineer
• Open to US Citizen or GC (No sponsorship options)
• Clean criminal background and ability to pass drug screen
• MS -Fabric (Huge PLUS)
• Healthcare (HUGE PLUS)