Python Data Engineer

Required Skills & Experience • 5+ years of Python with strong ETL/data transformation background • Data mapping & validation - ability to handle complex mappings and high-volume data movement • SQL • Oracle • Snowflake • Experience building batch-style transformation jobs in Linux environments • Payments or financial data experience (ACH, Wires, Templates, Receivers, Recurring Payments) Nice to Have Skills & Experience • FIS Clear2Pay • Application Performance Monitoring / Logging software (Dynatrace /Splunk) Job Description We are hiring Python engineers to support payments data migration from recently acquired Bank into our Bank’s payments ecosystem. Our environment uses Clear2Pay (FIS) as a hosted platform, and the target downstream ecosystem includes Oracle-based payment applications. You’ll build transformation jobs that map payment data (templates, receivers, recurring payments, profiles, ACH/wire constructs) into formats required for ingestion into Fifth Third platforms The contract will be short-term through the end of October or sooner. It can sit remotely working EST or CST. Responsibilities • Build Python transformation jobs on Linux to process payment-related datasets • Transform extracted payment data (templates/receivers/recurring/profiles) into target formats • Integrate outputs for Clear2Pay ingestion and/or Oracle persistence • Create mapping/validation rules; ensure data quality and reconciliation readiness • Write SQL for Oracle (and DB2 if required upstream) for validation and load support • Partner with Java teams supporting batch processing and service ingestion