Consulting Technical Manager, AI Data Engineer

Oracle
Austin, United States of America
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Reston, United States of America

Tech stack

Artificial Intelligence
Amazon Web Services (AWS)
Azure
Big Data
Cloud Computing
Information Systems
Databases
Information Engineering
Data Governance
ETL
Data Transformation
Data Security
DevOps
Geospatial Intelligence
JSON
Python
Meta-Data Management
Oracle
Oracle Applications
Shell Script
Kubernetes
Information Technology
Data Lineage
Data Analytics
Data Management
Api Gateway
REST
Oracle Cloud Infrastructure

Requirements

We are seeking a highly experienced and motivated AI Data Engineer to join our team. The ideal candidate will play a critical role in designing, building, and optimizing cloud-based data pipelines and AI data platforms that support our enterprise-scale initiatives in an IC customer space. This role demands technical expertise, strategic thinking, and hands-on experience with Oracle-based systems in high-volume environments. If you thrive in a fast-paced, data-driven organization and enjoy solving complex data engineering challenges, we want to hear from you. The ability to obtain and maintain TS/SCI eligibility with poly required., * Bachelor's degree in computer science, Information Systems, Engineering, or related field

  • Minimum 8+ years of experience in data engineering, ETL development, or database management and building enterprise-scale mission systems, preferably within the federal sector
  • Experience with managing geospatial intelligence data (vectors and rasters)
  • Familiarity with Cloud platforms such as Oracle, AWS, Azure, or GCP
  • Strong experience with architecting and implementing Oracle Databases
  • AI-enabling data using Vector data type, RAG, and MCP
  • Strong knowledge of ETL pipeline design (including data transformations) and implementation for large-scale data systems
  • Containers/Kubernetes
  • Proficiency in shell scripting, Python, or other automation tools
  • Familiarity with data governance, metadata management, and data lineage practices
  • Ability to work with cross-functional teams including data scientists, DBAs, and business analysts
  • Strong verbal and written communication skills for documenting and presenting solutions
  • The ability to obtain and maintain TS/SCI eligibility with poly required

Desired Skills:

  • Designing multi-modal databases that integrate multiple data types, including:
  • Relational
  • Spatial
  • JSON
  • Graph
  • Knowledge of data security best practices and regulatory compliance
  • Experience with DevOps and CI/CD pipelines in a data engineering context
  • Creating and deploying RESTful APIs; Oracle API Gateway
  • Oracle certifications (e.g., Oracle Database Certified Professional or OCI Architect Professional) are a plus
  • Experience supporting Intelligence Community (IC)-related agencies
  • Excellent analytical, problem-solving, and innovative thinking skills

About the company

 Oracle offers integrated suites of applications plus secure, autonomous infrastructure in the Oracle Cloud. For more information about Oracle (NYSE: ORCL), please visit us at www.oracle.com.

Our mission is to help people see data in new ways, discover insights, unlock endless possibilities.

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