Senior Data Engineer- Fusion Experience

Designs and builds proper data pipelines required for optimal data collection and processing from a variety of data sources. Implements data governance policies and procedures for data handling to manage data consistency, integrity, accuracy, security, and reliability. Implements rigorous data validation and integrity checks to support data pipeline and model performance. Designs, develops, and optimizes automated and scalable data pipeline architectures using Extract, Transform, and Load (ETL) processes to build reusable data products, independently. Collaborates in an agile development environment to develop, maintain, and debug data solutions that are scalable, efficient, and reliable.Only Oracle brings together the data, infrastructure, applications, and expertise to power everything from industry innovations to life-saving care. And with AI embedded across our products and services, we help customers turn that promise into a better future for all. Discover your potential at a company leading the way in AI and cloud solutions that impact billions of lives.True innovation starts when everyone is empowered to contribute. That’s why we’re committed to growing a workforce that promotes opportunities for all with competitive benefits that support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs.We’re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing View email address on click.appcast.io or by calling View phone number on click.appcast.io in the United States.Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.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.Range and benefit information provided in this posting are specific to the stated locations onlyUS: Hiring Range in USD from: $102,300 to $209,500 per annum. May be eligible for bonus and equity.Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle's differing products, industries and lines of business.Candidates are typically placed into the range based on the preceding factors as well as internal peer equity.Oracle US offers a comprehensive benefits package which includes the following:1. Medical, dental, and vision insurance, including expert medical opinion2. Short term disability and long term disability3. Life insurance and AD&D4. Supplemental life insurance (Employee/Spouse/Child)5. Health care and dependent care Flexible Spending Accounts6. Pre-tax commuter and parking benefits7. 401(k) Savings and Investment Plan with company match8. Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation.9. 11 paid holidays10. Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours.11. Paid parental leave12. Adoption assistance13. Employee Stock Purchase Plan14. Financial planning and group legal15. Voluntary benefits including auto, homeowner and pet insuranceThe role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted.As part of Oracle's onboarding process and consistent with applicable law, US-based employees are required to complete identity verification, which involves the collection and processing of their biometric information. Accommodations to this requirement may be granted following an individualized assessment.Key ResponsibilitiesData Processing & Pipelining – Data Requirements, Collection, and Infrastructure:Identifies data requirements and business objectives of a project or initiative in collaboration with cross-functional teams.Designs and builds proper data pipelines required for optimal data processing from a variety of data sources.Independently analyzes, designs, and troubleshoots data flows based on business needs.Analyzes business requirements and translates that into a technical specification.Adjusts data collection processes that involve indexing and query optimizations, for optimal performance.Builds Extract, Transform, and Load (ETL) pipelines to support efficient data collection and extraction, independently.Analyzes data sources for profiling the data to ensure pipeline build success.Defines success and failure thresholds for data collection pipelines.Data Processing & Pipelining – Data Governance: Implements data governance policies and procedures for data handling (e.g., data retention) to manage data consistency, integrity, accuracy, and reliability throughout the data lifecycle.Redacts Personally Identifiable Information (PII) and Protected Health Information (PHI) data to ensure compliance with data privacy and security standards.Follows data security measures to protect data from unauthorized access, use, disclosure, alteration, or destruction.Ensures data compliance with relevant laws, regulation, and industry standards.Data Processing & Pipelining – Data Validation & Quality Assurance: Implements rigorous data validation and integrity checks, identifying and addressing any data quality issues that could impact data pipeline and model performance.Defines data annotation and labeling processes to ensure data quality, independently.Designs and implements automation of data validation and governance.Data Pipeline and Solutions Engineering – Pipeline Design: Independently designs, develops, and optimizes automated and scalable data pipeline architectures using ETL processes to build reusable data products.Implements appropriate data storage solutions to store the processed data to be used in a scalable and optimized way for access and analysis.Manages the flow of data pipeline and storage day-to-day operations.Data Pipeline and Solutions Engineering – Data Solutions Engineering: Works independently and collaboratively in an agile development environment with other engineers to develop, maintain, and debug data solutions that are scalable, efficient, cost effective, and reliable.Writes runnable code and performs testing and debugging of data solutions, independently.Core ResponsibilitiesPlanning & Execution:Independently manages work, monitoring timelines and deliverables to ensure projects or initiatives stay on track and meet requirements.Proactively prioritizes work and adapts to resource or timeline shifts, suggesting adjustments to maintain project efficiency.Collaboration & Partnership:Collaborates across teams to align on expectations and achieve shared objectives.Builds and maintains a comprehensive understanding of business, stakeholder, and/or customer needs to build and support effective partnerships.Actively listens to diverse perspectives and asks questions to ensure understanding of others.Problem Solving:Independently identifies and addresses standard and non-standard issues in accordance with standard practices, escalating more complex issues as appropriate.Analyzes data and/or information from multiple sources to troubleshoot standard and non-standard errors.Contributes to knowledge sharing and best practices.Continuous Learning:Embraces continuous learning by actively seeking to build knowledge and new skills and/or tools and staying current with industry trends and best practices.Seeks out and leverages feedback and training to improve skills.Contributes to a culture of continuous learning and knowledge sharing with team members.Continuous Improvement:Develops ideas and recommends updates to increase the efficiency and effectiveness of processes, protocols, and workflows within a team.Seeks input from team members on alternative approaches and methods for improving work.Full timePosting Date: 2026-09-10