Senior Core Banking Engineer

Job Description:

Senior Core Banking Engineer— XGEN & IBM i Data Specialist

Function: Core Banking Engineering

Location: Remote / Hybrid (US-based)

Employment Type: Full-time

Experience Level: Senior (7+ years)

We are looking for a seasoned Core Banking Engineer with deep, hands-on expertise in XGEN — the enterprise report writing, data extraction, and output generation platform used within IBM i / AS400- based core banking environments. This role sits at the intersection of core banking operations, data engineering, and regulatory compliance — partnering directly with business stakeholders, compliance teams, and downstream integration consumers to design, build,and optimize XGEN-driven solutions that power critical banking, regulatory, and analytics functions.

You will serve as the primary XGEN subject-matter expert within the engagement, translating complex banking data requirements into reliable, performant, and auditable extracts and reports from the core banking platform. Your work will directly support regulatory reporting, business intelligence, operational analytics, and core modernization initiatives.

XGEN Report &Extract Development

• Design, build, and maintain complex XGEN report definitions and data extracts against IBM i / AS400 physical and logical file structures in a core banking environment
• Develop multi-level hierarchical XGEN reports with advanced selection criteria, field-level conditional logic, grouping, sorting, sequencing, and output formatting
• Build and schedule batch extracts for downstream consumption — producing fixed-width, pipe- delimited, comma-delimited, and custom-format output files for BI platforms, data warehouses, and third-party integrations
• Optimize XGEN extract performance on high-volume banking databases applying logical file key sequencing, selection criteria tuning, and batch window awareness to ensure extracts complete reliably within operational constraints
• Maintain complete documentation for all XGEN report and extract definitions including field mappings, selection logic, scheduling parameters, output formatspecifications, and data lineage
• Demonstrate deep working knowledge of IBM i / AS400 physical file (PF) and logical file (LF) structures as they apply to core banking data domains — accounts, transactions, general ledger, customer information, loans, deposits, and payments
• Navigate multi-file core banking data models — identifying the correct sourcefiles, understanding key structures, and constructing logical access paths that support accurate and complete XGEN outputs
• Advice on IBM i data access patterns, file locking behavior, and batch cycle constraints that directly affect extract design, scheduling, and reliability
• Apply IBM i DB2 query and SQL skills as a complement to XGEN where native IBM i querying provides performance or flexibility advantages
• Manage IBM i job scheduling — defining job queue priorities, managing dependencies between extract jobs, and aligning extract schedules with core banking batch processing windows to prevent conflicts

• Build and maintain XGEN-driven outputs for regulatory reporting obligations including but not limited to Call Report data feeds, HMDA extractpreparation, BSA/AML data pulls, CRA reporting, Federal Reserve submissions, and NCUA/FDIC compliance extracts
• Map core bankingdata fields to regulatory reporting schemas — handlingcases where regulatory requirements span multiple source files or require derived and calculated fields
• Validate field-level accuracy of regulatory extracts against compliance requirements and audit standards
• Produce ad hoc data extracts and supporting documentation for internal audit, external examination, and regulatory inquiry responses
• Proactively update XGEN extract logic and field mappings as regulatory reporting requirements evolve
• Design XGEN-produced output files that feed downstream systems — data warehouses, BI platforms, core modernization middleware, payment systems, and third-party fintech vendors
• Collaborate with data engineering teams to define transformation logic between raw XGEN extract formats and target data models in…