> Markdown version of [/jobs/ext/4629556-senior-data-engineer-fusion-experience](https://www.wearedevelopers.com/jobs/ext/4629556-senior-data-engineer-fusion-experience). 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). --- # Senior Data Engineer- Fusion Experience - **Company:** Oracle - **Location:** Little Rock, AR, United States - **Experience:** Expert - **Salary:** $95,600.0 - $209,500.0 - **Contract:** Permanent contract - **Skills:** Computer Programming, Databases, Data Validation, Information Engineering, Data Governance, Data Integration, Extract Transform Load (ETL), Data Retention, Software Debugging, Performance Tuning, Oracle Fusion Middleware, Data Streaming, Systems Integration, Data Processing, Indexer, Data Inconsistencies, Data Pipelines - **Published:** November 7, 2026 - **Apply:** https://dejobs.org/x/x/B83D5B36B71E47EDAE2323EF50B2FEB6/job/ ## About the Role * Oracle Fusion experience: Hands-on experience extracting, integrating, or processing data from Oracle Fusion applications. * Data engineering background: Experience independently designing, developing, and maintaining automated ETL pipelines. * Programming experience: Ability to write, test, debug, and maintain code for data integration and processing. * Database experience: Experience with queries, indexing, and storage optimization. * Data quality experience: Experience profiling source data and implementing validation and integrity checks. * Data governance knowledge: Understanding of data retention, access controls, and secure handling of sensitive information, including PII and PHI. * Local availability: Must reside in greater Cleveland or relocate at personal expense and be available to work onsite at Southwest General Hospital. ## Description * Oracle Fusion data integration: Connect Fusion data with other sources to support operational and reporting requirements. * ETL pipeline development: Build automated, reusable, and scalable data processing workflows. * Requirements analysis: Translate business needs into technical specifications and data mappings. * Troubleshooting: Identify and resolve pipeline failures, processing errors, and data inconsistencies. * Performance tuning: Improve query execution, data flow, and storage efficiency. * Data validation and security: Automate quality checks and apply controls to protect sensitive data. * Technical communication: Document solutions, explain issues clearly, and coordinate work with hospital stakeholders and engineering teams. Disclaimer: Certain U.S. based or U.S. customer or client-facing roles may be required to comply with applicable requirements, such as immunization/occupational health mandates, and/or drug testing requirements.