Staff Workday Engineer

Robinhood Robinhood · Fintech · Menlo Park, CA +1 · Corporate Engineering Division

Staff Workday Engineer at Robinhood, focusing on designing, configuring, and improving Workday HR systems (HCM, Compensation, Benefits, Payroll). The role involves building integrations, reports, and security models, supporting M&A and global operations, and contributing to the development of AI-enabled solutions within HR systems to enhance workflows and reporting. Experience with AI tools to accelerate engineering workflows is a plus.

What you'd actually do

  1. Drive the design, configuration, and continuous improvement of Workday modules including HCM, Compensation, Payroll, Benefits, and act as the subject matter expert
  2. Architect, build, and optimize scalable Workday integrations, custom reports, and advanced security models with a constant focus on reliability, resilience and scalability
  3. Partner with People Operations, Compensation, Payroll, and Engineering teams to deliver system enhancements, process automations and resolve issues
  4. Support mergers and acquisitions and Internationalization efforts by driving onboarding workflows, data migration activities and aligning systems with company standards
  5. Contribute to the development of AI-enabled solutions within HR systems to improve workflows and reporting

Skills

Required

  • Workday configuration (HCM, Compensation, Payroll, Benefits)
  • Workday integrations
  • Workday reports
  • Workday security models
  • Payroll and Finance processes
  • Workday Studio
  • APIs (SOAP/REST/WQL)
  • Translate business requirements into system solutions
  • Communicate clearly with technical and non-technical partners

Nice to have

  • Workday Extend
  • Workday Orchestrations
  • Workday Prism
  • Leverage modern AI tools (e.g., Claude Code, ChatGPT, enterprise AI assistants) to accelerate your own engineering workflows
  • Building AI-enabled automations

What the JD emphasized

  • 6+ years of experience working with Workday
  • architectural and design leadership
  • modern AI tools (e.g., Claude Code, ChatGPT, enterprise AI assistants) to accelerate your own engineering workflows
  • building AI-enabled automations