remote
Revenue Operations Systems Engineer - Peak Nano
Systems Engineer
Revenue Operations Systems Engineer building the technical backbone for reporting, integration, and AI‑driven analysis, leveraging Python, SQL, AWS, Salesforce, and automation tools to replace spreadsheets with scalable solutions.
About the role
Key Responsibilities
- Design, develop, and maintain data pipelines and ETL processes to integrate disparate revenue data sources into a unified reporting platform.
- Implement and optimize automation workflows in Salesforce and other CRM systems to streamline sales operations and data quality.
- Leverage AI and machine learning tools to generate actionable insights, predictive models, and automated reporting dashboards.
- Collaborate with cross‑functional teams to define data requirements, validate data integrity, and ensure compliance with data governance standards.
- Document system architecture, data flows, and best practices for future scalability and maintenance.
Requirements
- Bachelor’s degree in Computer Science, Information Systems, or related field.
- Proficiency in Python, SQL, and experience with AWS services (Lambda, S3, Redshift).
- Hands‑on experience with Salesforce data management and automation tools.
- Strong understanding of AI/ML tooling and its application to business problems.
- Excellent problem‑solving skills, attention to detail, and ability to work independently in a fast‑moving environment.
Skills
pythonsqlawssalesforce