{"id":983098,"url":"https://alion.io/job/oracle-senior-data-engineer-fusion-experience","title":"Senior Data Engineer- Fusion Experience","company":{"id":53,"name":"Oracle","domain":"oracle.com","url":"https://alion.io/company/oracle","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Oracle","truth_index":{"grade":"A","score":92,"open_postings":210,"ghost_share":0,"stale_share":0.495,"repost_share":0.014,"time_to_fill_p50_days":5,"computed_at":"2026-10-08T05:49:30Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Cleveland, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":102300,"max":209500,"currency":"USD","period":"year","gross":null,"usd_annual":209500},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"Agile","optional":false},{"name":"ETL/ELT","optional":false}],"status":"live","first_seen_at":"2026-09-10T19:27:56Z","employer_posted_date":"2026-09-10","last_verified_at":"2026-10-08T22:45:18Z","board_verified":true,"closed_at":null,"days_open":28,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":28},"description":"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.\n Key Responsibilities\nData Processing & Pipelining - Data Requirements, Collection, and Infrastructure:\nIdentifies data requirements and business objectives of a project or initiative in collaboration with cross-functional teams.\nDesigns and builds proper data pipelines required for optimal data processing from a variety of data sources.\nIndependently analyzes, designs, and troubleshoots data flows based on business needs.\nAnalyzes business requirements and translates that into a technical specification.\nAdjusts data collection processes that involve indexing and query optimizations, for optimal performance.\nBuilds Extract, Transform, and Load (ETL) pipelines to support efficient data collection and extraction, independently.\nAnalyzes data sources for profiling the data to ensure pipeline build success.\nDefines success and failure thresholds for data collection pipelines.\nData Processing & Pipelining - Data Governance:\nImplements data governance policies and procedures for data handling (e.g., data retention) to manage data consistency, integrity, accuracy, and reliability throughout the data lifecycle.\nRedacts Personally Identifiable Information (PII) and Protected Health Information (PHI) data to ensure compliance with data privacy and security standards.\nFollows data security measures to protect data from unauthorized access, use, disclosure, alteration, or destruction.\nEnsures data compliance with relevant laws, regulation, and industry standards.\nData Processing & Pipelining - Data Validation & Quality Assurance:\nImplements rigorous data validation and integrity checks, identifying and addressing any data quality issues that could impact data pipeline and model performance.\nDefines data annotation and labeling processes to ensure data quality, independently.\nDesigns and implements automation of data validation and governance.\nData Pipeline and Solutions Engineering - Pipeline Design:\nIndependently designs, develops, and optimizes automated and scalable data pipeline architectures using ETL processes to build reusable data products.\nImplements appropriate data storage solutions to store the processed data to be used in a scalable and optimized way for access and analysis.\nManages the flow of data pipeline and storage day-to-day operations.\nData Pipeline and Solutions Engineering - Data Solutions Engineering:\nWorks 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.\nWrites runnable code and performs testing and debugging of data solutions, independently.\nCore Responsibilities\nPlanning & Execution:\nIndependently manages work, monitoring timelines and deliverables to ensure projects or initiatives stay on track and meet requirements.\nProactively prioritizes work and adapts to resource or timeline shifts, suggesting adjustments to maintain project efficiency.\nCollaboration & Partnership:\nCollaborates across teams to align on expectations and achieve shared objectives.\nBuilds and maintains a comprehensive understanding of business, stakeholder, and/or customer needs to build and support effective partnerships.\nActively listens to diverse perspectives and asks questions to ensure understanding of others.\nProblem Solving:\nIndependently identifies and addresses standard and non-standard issues in accordance with standard practices, escalating more complex issues as appropriate.\nAnalyzes data and/or information from multiple sources to troubleshoot standard and non-standard errors.\nContributes to knowledge sharing and best practices.\nContinuous Learning:\nEmbraces continuous learning by actively seeking to build knowledge and new skills and/or tools and staying current with industry trends and best practices.\nSeeks out and leverages feedback and training to improve skills.\nContributes to a culture of continuous learning and knowledge sharing with team members.\nContinuous Improvement:\nDevelops ideas and recommends updates to increase the efficiency and effectiveness of processes, protocols, and workflows within a team.\nSeeks input from team members on alternative approaches and methods for improving work.\n 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.\nRange and benefit information provided in this posting are specific to the stated locations only\nUS: Hiring Range in USD from: $102,300 to $209,500 per annum. May be eligible for bonus and equity.\nOracle 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.\nCandidates are typically placed into the range based on the preceding factors as well as internal peer equity.\nOracle US offers a comprehensive benefits package which includes the following:\n1. Medical, dental, and vision insurance, including expert medical opinion\n2. Short term disability and long term disability\n3. Life insurance and AD&D\n4. Supplemental life insurance (Employee/Spouse/Child)\n5. Health care and dependent care Flexible Spending Accounts\n6. Pre-tax commuter and parking benefits\n7. 401(k) Savings and Investment Plan with company match\n8. 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.\n9. 11 paid holidays\n10. 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.\n11. Paid parental leave\n12. Adoption assistance\n13. Employee Stock Purchase Plan\n14. Financial planning and group legal\n15. Voluntary benefits including auto, homeowner and pet insurance\nThe role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted.\nAs 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. 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