Data Engineer - New Grad

Oracle • Redwood City, CA

1d

About The Position

As a Junior Data Engineer, you will help build and maintain data pipelines and curated datasets that support analytics, reporting, and data science at Oracle. You’ll work with experienced data engineers, data scientists, and business partners to deliver reliable, well-documented datasets with clear expectations for quality, monitoring, and operational readiness. Growth & Mentorship (What you can expect)      Mentorship from experienced data engineers through pairing, code reviews, and a structured onboarding plan      A clear learning plan and regular feedback to support your growth      Opportunities to rotate across pipeline development, data modeling, data quality, and operational support as you ramp      Support in building strong fundamentals in version control, testing, debugging, and performance basics Responsibilities Minimum Job Qualifications Visa sponsorship is not available for this role. For clarity purposes, this means that Oracle is not in a position now, or in the future, to offer US immigration sponsorship. This includes, but is not limited to, support of H-1B, TN, O-1, green card or F-1 e.g. EAD, OPT, CPT, I-20, F-1 visa stamp, etc. Have graduated with a Bachelor’s or Master's in Software Engineering, Data Science, Computer Science, Information Systems, or related field (or equivalent practical experience) within 12 months of actual start date, no later than August 2026. (Start date for all new grad roles: Summer 2026) 0–1 year of relevant experience (internships, co-ops, research, or project work welcome) Proficiency in SQL and ability to debug queries Working knowledge of Python and/or Java for data processing Familiarity with data modeling concepts and relational databases Experience with Git and collaborative development workflows Strong problem-solving skills, attention to detail, and clear communication Preferred Qualifications (Nice to Have) Exposure to Spark, Hadoop, or similar frameworks (coursework/projects acceptable) Familiarity with cloud fundamentals and data services (e.g., OCI Object Storage, data warehouses, or similar) Exposure to orchestration tools (e.g., Airflow) and container basics (Docker) Understanding of data quality, governance, and security concepts (PII handling, access controls) Foundational knowledge of data structures and algorithms for efficient data processing Key Responsibilities Data Requirements, Collection, and Infrastructure Learn to identify data requirements and project goals Partner with analysts, data scientists, and engineering teams to translate requirements into implemented datasets and pipeline changes Build and troubleshoot batch and/or streaming pipelines to ingest, transform, and deliver data for analytics and reporting Help improve performance through query tuning and upstream data collection improvements (e.g., indexing and query optimizations) Write and maintain ETL/ELT workflows and reusable transformations using SQL and Python and/or Java Contribute to monitoring and alerting for pipeline health, failures, and data freshness Data Governance & Security      Assist with data governance practices across the data lifecycle (e.g., retention and classification) to support consistency, integrity, accuracy, and reliability      Follow security controls to prevent unauthorized access, use, disclosure, alteration, or destruction of data Data Validation & Quality Assurance      Help implement data validation and integrity checks (e.g., reconciliation and anomaly checks) and troubleshoot data quality issues      Contribute to data quality signals such as tests, documentation, and dataset metrics Pipeline Design, Operations, and Delivery      With mentorship, design and improve automated pipeline components that can be reused across use cases      Assist with selecting and implementing storage approaches that support efficient access and analysis      Support day-to-day pipeline operations (investigating failures, reruns, and follow-ups) and help improve reliability over time      Work in an agile environment to develop, test, debug, and document data solutions      Participate in code reviews and release processes; follow secure coding and data handling practices Core Responsibilities      Planning & Execution: Track timelines and deliver work aligned to requirements; adjust priorities as needs change      Collaboration: Communicate clearly with technical and non-technical stakeholders; ask questions and incorporate feedback      Problem Solving: Troubleshoot issues using information from multiple sources; escalate when appropriate      Continuous Learning: Build skills through training, feedback, and continuous improvement of tools and processes Qualifications Disclaimer: Certain US customer or client-facing roles may be required to comply with applicable requirements, such as immunization and occupational health mandates. Range and benefit information provided in this posting are specific to the stated locations only US: Hiring Range in USD from: $68,500 to $158,200 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 opinion 2. Short term disability and long term disability 3. Life insurance and AD&D 4. Supplemental life insurance (Employee/Spouse/Child) 5. Health care and dependent care Flexible Spending Accounts 6. Pre-tax commuter and parking benefits 7. 401(k) Savings and Investment Plan with company match 8. 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 holidays 10. 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 leave 12. Adoption assistance 13. Employee Stock Purchase Plan 14. Financial planning and group legal 15. Voluntary benefits including auto, homeowner and pet insurance The role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted. Career Level - IC2

Requirements

• Visa sponsorship is not available for this role. For clarity purposes, this means that Oracle is not in a position now, or in the future, to offer US immigration sponsorship. This includes, but is not limited to, support of H-1B, TN, O-1, green card or F-1 e.g. EAD, OPT, CPT, I-20, F-1 visa stamp, etc.
• Have graduated with a Bachelor’s or Master's in Software Engineering, Data Science, Computer Science, Information Systems, or related field (or equivalent practical experience) within 12 months of actual start date, no later than August 2026. (Start date for all new grad roles: Summer 2026)
• 0–1 year of relevant experience (internships, co-ops, research, or project work welcome)
• Proficiency in SQL and ability to debug queries
• Working knowledge of Python and/or Java for data processing
• Familiarity with data modeling concepts and relational databases
• Experience with Git and collaborative development workflows
• Strong problem-solving skills, attention to detail, and clear communication

Nice To Haves

• Exposure to Spark, Hadoop, or similar frameworks (coursework/projects acceptable)
• Familiarity with cloud fundamentals and data services (e.g., OCI Object Storage, data warehouses, or similar)
• Exposure to orchestration tools (e.g., Airflow) and container basics (Docker)
• Understanding of data quality, governance, and security concepts (PII handling, access controls)
• Foundational knowledge of data structures and algorithms for efficient data processing

Responsibilities

• Learn to identify data requirements and project goals
• Partner with analysts, data scientists, and engineering teams to translate requirements into implemented datasets and pipeline changes
• Build and troubleshoot batch and/or streaming pipelines to ingest, transform, and deliver data for analytics and reporting
• Help improve performance through query tuning and upstream data collection improvements (e.g., indexing and query optimizations)
• Write and maintain ETL/ELT workflows and reusable transformations using SQL and Python and/or Java
• Contribute to monitoring and alerting for pipeline health, failures, and data freshness
• Assist with data governance practices across the data lifecycle (e.g., retention and classification) to support consistency, integrity, accuracy, and reliability
• Follow security controls to prevent unauthorized access, use, disclosure, alteration, or destruction of data
• Help implement data validation and integrity checks (e.g., reconciliation and anomaly checks) and troubleshoot data quality issues
• Contribute to data quality signals such as tests, documentation, and dataset metrics
• With mentorship, design and improve automated pipeline components that can be reused across use cases
• Assist with selecting and implementing storage approaches that support efficient access and analysis
• Support day-to-day pipeline operations (investigating failures, reruns, and follow-ups) and help improve reliability over time
• Work in an agile environment to develop, test, debug, and document data solutions
• Participate in code reviews and release processes; follow secure coding and data handling practices
• Track timelines and deliver work aligned to requirements; adjust priorities as needs change
• Communicate clearly with technical and non-technical stakeholders; ask questions and incorporate feedback
• Troubleshoot issues using information from multiple sources; escalate when appropriate
• Build skills through training, feedback, and continuous improvement of tools and processes

Benefits

• Medical, dental, and vision insurance, including expert medical opinion
• Short term disability and long term disability
• Life insurance and AD&D
• Supplemental life insurance (Employee/Spouse/Child)
• Health care and dependent care Flexible Spending Accounts
• Pre-tax commuter and parking benefits
• 401(k) Savings and Investment Plan with company match
• 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.
• 11 paid holidays
• 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.
• Paid parental leave
• Adoption assistance
• Employee Stock Purchase Plan
• Financial planning and group legal
• Voluntary benefits including auto, homeowner and pet insurance

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level