Drimva

Meta

Workday Integration Engineer

$145K–$202K

Menlo Park, CA · Full-time · Posted Sep 29, 2026

Experience
6+ years in Workday; 6+ years building Workday integrations; 6+ years developing custom reports and calculated fields; at least one full Workday implementation.
Education
Bachelor's degree in Computer Science, Computer Engineering, or a relevant technical field, or equivalent practical experience. The posting also lists a bachelor's degree in Computer Science or a similar field.

About the job

Designs, builds, and manages Workday integrations and related data flows to support HR, Global Payroll, and other business systems at Meta.

What you'll do

  • Lead the design, development, testing, and delivery of Workday integrations, including specifications and field mappings.
  • Investigate integration failures, perform root-cause analysis, and advance Workday architecture and data strategy.
  • Coordinate with business stakeholders and system owners on objectives, dependencies, timelines, and deliverables.

What they ask for

  • Bachelor's degree in Computer Science, Computer Engineering, or a relevant technical field, or equivalent practical experience.
  • 6+ years of experience working in Workday and building integrations with Workday Studio, EIB, and Core Connectors.
  • At least one full Workday implementation, with demonstrated Workday technical and integrations experience.
  • 6+ years developing Workday custom reports and calculated fields; experience integrating systems with third-party service vendors.

Nice to have

  • Experience implementing Workday Extend applications and orchestrations, and driving large architectural changes involving Workday and other systems.
  • Familiarity with Workday administrative functions, including tenant configuration, data loads, and payroll configurations and maintenance.

Pay

$145,000/year to $202,000/year USD base salary

Tools

Workday, Workday Studio, EIB, Core Connectors, Workday Extend

AI focus

Apply responsible, ethical AI practices and integrate AI tools to optimize or redesign workflows; maintain AI skills such as prompt/context engineering and agent orchestration.

Model-written summary · the original posting is authoritative

First seen Oct 15, 2026 · Last verified Nov 5, 2026 (UTC)