> Markdown version of [/jobs/ext/3539911-recruiting-systems-data-integration-engineer-in-new-york](https://www.wearedevelopers.com/jobs/ext/3539911-recruiting-systems-data-integration-engineer-in-new-york). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Recruiting Systems & Data Integration Engineer in New York - **Company:** Energy Jobline - **Location:** New York, NY, United States - **Salary:** $120,000.0 - $145,000.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Applicant Tracking Systems, Data Integration, Data Warehousing, Systems Integration, Extensible Markup Language (XML), File Transfer Protocol (FTP), Bullhorn - **Published:** October 2, 2026 - **Apply:** https://www.energyjobline.com/job/recruiting-systems-data-integration-engineer-new-york-31771034 ## About the Role * Experience with staffing-focused platforms such as Bullhorn, Avionte, or JobDiva and their recruiting workflows. \n * Familiarity with job distribution, candidate intake, submissions, placements, assignments, starts, credentialing, and pay-and-bill data. \n * Experience integrating recruiting systems with AI screening, matching, interviewing, or candidate engagement products. \n * Experience defining normalized recruiting models across systems with significantly different schemas and workflow stages. \n * Experience with XML, feed , and XML-based recruiting or job distribution standards. \n * Familiarity with recruitment marketing attribution, funnel analytics, or operational KPI reporting. \n * Experience with data reconciliation, historical backfills, migration projects, or customer-specific data repair. \n * Experience building integrations through reporting interfaces, scheduled exports, SFTP, or other fallback mechanisms when APIs are incomplete. \n * Experience engineering and monitoring agentic workflows that interact reliably with systems lacking conventional integration interfaces. \n * Familiarity with data warehouses, analytics pipelines, or business intelligence systems. \n * Experience working in a small startup environment where engineers own ambiguous technical and customer problems end to end. \n