Experience with staffing-focused platforms such as Bullhorn, Avionte, or JobDiva and their recruiting workflows.
Familiarity with job distribution, candidate intake, submissions, placements, assignments, starts, credentialing, and pay-and-bill data.
Experience integrating recruiting systems with AI screening, matching, interviewing, or candidate engagement products.
Experience defining normalized recruiting models across systems with significantly different schemas and workflow stages.
Experience with XML, feed generation, and XML-based recruiting or job distribution standards.
Familiarity with recruitment marketing attribution, funnel analytics, or operational KPI reporting.
Experience with data reconciliation, historical backfills, migration projects, or customer-specific data repair.
Experience building integrations through reporting interfaces, scheduled exports, SFTP, or other fallback mechanisms when APIs are incomplete.
Experience engineering and monitoring agentic workflows that interact reliably with systems lacking conventional integration interfaces.
Familiarity with data warehouses, analytics pipelines, or business intelligence systems.
Experience working in a small startup environment where engineers own ambiguous technical and customer problems end to end.