Oracle AI Data Pipeline Engineer
Overview
Lead cloud-based technical architecture for mission-critical applications as an Oracle AI Data Pipeline Engineer. Transform national challenges through innovative cloud solutions. Drive AI integration and develop scalable systems for defense industry.
What You'll Do9
- 1Design and implement cloud-native data pipelines using Spark and Airflow to integrate diverse data sources
- 2Develop AI agents leveraging LLMs and RAG/MCP for enhanced data workflows
- 3Architect geospatial solutions from concept to operations using raster and vector formats
- 4Build Node.js applications and dashboards connected to Oracle Databases
- 5Migrate workloads from AWS to OCI while ensuring security compliance
- 6Optimize OCI solutions for large-scale environments with emphasis on scalability and reliability
- 7Implement metadata enrichment pipelines and event processing architectures
- 8Integrate mission-critical data with AI systems for defense applications
- 9Maintain advanced OCI solutions with continuous deployment practices
Requirements10
- 15+ years building ETL pipelines with Spark and Airflow
- 23+ years experience with OCI enterprise solutions including on-premise/hybrid architectures
- 3Proven experience with ATO processes and security documentation
- 4Active TS/SCI clearance with willingness to undergo polygraph examination
- 5Bachelor's degree in Computer Science or related field
- 6Experience with geospatial workloads including relational spatial and JSON data
- 7Knowledge of system design principles for distributed environments
- 8Security best practices certification such as Security+ or CISSP
- 9OCI Architect or Developer Certification preferred
- 10Ability to work in high-security classified environments
Salary Insight
$99 - $225k per year
Location
Required Skills
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