Elastic - Sr. Application Engineer
Requirements
• 5+ years of hands-on Xactly Connect experience, specifically with data pipelines, transformations, and scheduling. • Proficiency in Xactly Extend and Xactly CEA. • Strong SQL skills for writing, optimizing, and troubleshooting queries, alongside familiarity with ETL concepts and flat-file/SFTP data exchange patterns. • Experience with source system integrations such as SFDC, Workday, NetSuite, or similar CRM/HCM/ERP platforms. • Strong attention to detail, recognizing that errors in comp data have a direct pay impact. • Nice to Have: Xactly certification(s), knowledge of ICM/SPM processes (quota, territory, crediting, payment cycles), scripting experience (Python, PowerShell, or shell) for Connect job automation, and familiarity with data warehousing or BI tools (Snowflake, Tableau, etc.). • Additional Information - We Take Care of Our People: • As a distributed company, diversity drives our identity. Whether you’re looking to launch a new career or grow an existing one, Elastic is the type of company where you can balance great work with great life. Your age is only a number. It doesn’t matter if you’re just out of college or your children are; we need you for what you can do. • We strive to have parity of benefits across regions, and while regulations differ from place to place, we believe taking care of our people is the right thing to do. • Competitive pay based on the work you do here and not your previous salary • Health coverage for you and your family in many locations • Ability to craft your calendar with flexible locations and schedules for many roles • Generous number of vacation days each year • Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service • Up to 40 hours each year to use toward volunteer projects you love • Embracing parenthood with a minimum of 16 weeks of parental leave
Responsibilities
• Build, maintain, and optimize Connect integration pipelines between source systems and Xactly. • Partner with non-technical stakeholders (comp analysts, finance ops), Sales Compensation, Accounting, Sales, and IT to define data requirements. • Troubleshoot and resolve data quality issues, failed Connect jobs, data mismatches, and pipeline errors before commission runs. • Document pipeline configurations, field mappings, and transformation logic so the next developer doesn't have to reverse-engineer it.
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