Revenue Data Engineer-CA

RGP is a next-generation human capital firm that connects top talent to execute transformation and high-value projects. As a Revenue Data Engineer, you will work on diverse projects, focusing on data engineering and SQL development to enhance performance and reliability in finance-related environments.

Responsibilities:

• Data Engineering & SQL Development
• Refactor and rebuild existing SQL scripts, tables, and workflows to improve performance, scalability, and maintainability
• Design and develop new SQL-based data pipelines where needed, following data engineering best practices
• Establish consistent coding standards, data modeling conventions, and architectural patterns across SQL artifacts
• Ensure all development aligns with structured SDLC processes when modifying or replacing legacy assets
• Implement and operate within structured development processes including:
• Requirements definition
• Design and development
• Testing and validation
• Controlled production deployments
• Improve reliability by introducing stronger testing frameworks and change management practices
• Build and maintain end-to-end data pipelines, including scripting, workflow orchestration, table creation, and downstream data consumption
• Support dashboards and reporting used by Cloud Finance stakeholders, including development within PLX (preferred) or comparable Google dashboarding tools
• Replace fragmented or speed-optimized legacy solutions with scalable, well-documented data architectures
• Serve as a resource for SQL development and data engineering best practices within a finance-focused environment

Requirements:

• Expert-level SQL, with the ability to design complex queries and pipelines from scratch
• Strong data engineering experience, comparable to a senior data engineer role
• Hands-on experience working within the Google data and analytics ecosystem, including tools such as Big Query, PLX, Piper, or similar Google development environments
• Experience working within structured SDLC processes including requirements, testing, deployment, and production support
• Data Engineering & SQL Development
• Refactor and rebuild existing SQL scripts, tables, and workflows to improve performance, scalability, and maintainability
• Design and develop new SQL-based data pipelines where needed, following data engineering best practices
• Establish consistent coding standards, data modeling conventions, and architectural patterns across SQL artifacts
• Ensure all development aligns with structured SDLC processes when modifying or replacing legacy assets
• Implement and operate within structured development processes including: Requirements definition, Design and development, Testing and validation, Controlled production deployments
• Improve reliability by introducing stronger testing frameworks and change management practices
• Build and maintain end-to-end data pipelines, including scripting, workflow orchestration, table creation, and downstream data consumption
• Support dashboards and reporting used by Cloud Finance stakeholders, including development within PLX (preferred) or comparable Google dashboarding tools
• Replace fragmented or speed-optimized legacy solutions with scalable, well-documented data architectures
• Serve as a resource for SQL development and data engineering best practices within a finance-focused environment
• Supporting finance or accounting data environments is ideal
• Revenue accounting knowledge is a plus, not required