Senior Software AI Data Engineer

Oracle•Pleasanton, CA

2d•Onsite

About The Position

This position is onsite in Pleasanton, CA - Remote is not an option. Visa sponsorship is not available Oracle Analytics is used by customers across the world to discover deep insights about their business, improve collaboration around a single view by securely including all relevant data, and increase agility by quickly spotting patterns and powering data-driven decisions with AI and machine learning. Oracle Fusion Data Intelligence platform (FDI) is the next generation of Oracle Fusion Analytics Warehouse built for Oracle Fusion Cloud Applications, bringing together business data, ready-to-use analytics, and prebuilt AI and machine learning (ML) models to deliver deeper insights and accelerate the decision-making process into actionable results. The backbone of FDI is the lights-out data pipeline that manages the data warehouse for all the customers. For details about the product, visit http://docs.oracle.com/pls/topic/lookup?ctx=faw-latest&id=FAWAG-GUID-18E9C0C0-EC07-4E7D-95EE-EAD8D0CA2771 As part of Data Pipeline AI Engineering team, you will design, model data solutions and build AI agents to support analytics, machine learning and task automation. The role is a full stack engineer role focused on various technologies related to Data Engineering and Web applications.

Requirements

6+ years of hands-on Software Design, Development of highly scalable data applications
Proficient in AI Technologies - LLM, NLP, Prompts, RAG, Embeddings, Graph Store, Vector Store, Cluster Store, MCP, LangChain, LangGraph
Proficient in Data Engineering technologies like Spark, Airflow, dbt, ETL pipelines
Proficient in technologies Java, Spring Boot, Python, JPA, Database, SQL & RDBMS Design
Web UI technologies like Oracle JET, JavaScript, TypeScript, CSS, HTML5
Deep knowledge of all aspects of Cloud native distributed system development such as Oracle Cloud Infrastructure (OCI), AWS, Google Cloud
Expert in tools like Jenkins, TeamCity, Docker, and Kubernetes
Working knowledge of Data Warehouse, Data Lakes and Data Modeling techniques
Bachelors degree in Computer Science, Computer Engineering or equivalent, Masters is preferred

Responsibilities

Developing AI Application: Design, Build different AI Agents, Chatbots, Workflows to support various data pipeline configurations.
Developing Data Solutions: Implement and enhance data-driven solutions to integrate massive amounts of data in real-time/batch mode from various data producing systems using state-of-the-art tools such as OCI Data Flow, OCI Data Integration, Spark and Kafka. Embrace modern data architecture philosophies including data products, data contracts, and data mesh to ensure a decentralized approach to data management.
Expert in Advanced SQL and PL/SQL for data analysis and testing data gaps & data quality
Data Pipeline Development: Develop and optimize high-performance, batch and real-time data pipelines employing advanced streaming technologies like Kafka, NoSQL and Oracle ETL Tools to address challenges associated with large-scale data processing and analysis.
Cloud Data Management: Implement and oversee cloud-specific data services including Autonomous Data Warehouse, OCI Object Storage with Parquet and Delta-Tables and OCI Streams. Leverage cloud architectures to improve data sharing and interoperability across different business pillars
Security and Compliance: Ensure all data practices comply with security policies and regulations, embedding security by design in the data infrastructure. Incorporate tools and methodologies recommended for data security and compliance, ensuring robust protection and governance of data assets.
Ensure data governance, security, and compliance: lineage, cataloguing, DQ checks, PII protection, and privacy‑by‑design
Collaboration: Work with onsite and offshore development and QA teams, cross functional teams to define interfaces, build integrations, implement highly scalable, high quality features

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