Security-Cleared AI DB Developer & Consulting Tech Manager

Oracle; Reston (VA); On-site; USD 102,000 - 210,000; Full time

Benefits offered by this job

Medical, dental, and vision insurance

401(k) with company match

Paid time off and holidays

Paid parental leave

Employee stock purchase plan

Job summary

Oracle is seeking an experienced Consulting Technical Manager and AI Database Developer to support IC programs from our Reston, VA office. This in-person role requires TS/SCI with polygraph and offers opportunities to design and optimize Oracle-based data platforms for mission systems.

You will collaborate with data scientists, DBAs, and architects to deliver secure, high-performance solutions, including vector embeddings, RAG workflows, and scalable data pipelines in a cloud and containerized

Qualifications

• Must possess or have the ability to obtain and maintain TS/SCI security clearance with polygraph.
• Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related discipline.
• 10 years of relevant experience in database development, data engineering, or ETL/ELT development for enterprise-scale systems.
• Strong hands-on experience designing, developing, and implementing Oracle Database solutions.
• Advanced SQL and PL/SQL skills, including stored procedures, packages, complex queries, and performance optimization.
• Experience designing and implementing scalable data pipelines, including data transformation, validation, error handling, and operational monitoring.
• Experience working with geospatial data, including vector and raster formats.
• Experience working with different data formats, such as relational, spatial, JSON, and graph data.
• Hands-on experience with vector embeddings, vector data types, similarity search, and RAG workflows.
• Familiarity with MCP and its use in connecting AI applications to approved data sources and tools.
• Experience with cloud platforms such as Oracle Cloud Infrastructure (OCI), AWS, Azure, or Google Cloud.
• Experience working with containers and Kubernetes.
• Proficiency in Python, shell scripting, or comparable tools for automation and data processing.
• Working knowledge of data governance, metadata management, data lineage, and secure data handling.
• Ability to collaborate with data scientists, database administrators, application developers, analysts, and customer stakeholders.
• Strong analytical, problem-solving, and written and verbal communication skills.

Responsibilities

• We are seeking a highly experienced and motivated AI Database Developer to join our team. In this hands-on technical role, you will design, develop, and optimize Oracle database solutions, data pipelines, and AI-enabled data platforms for enterprise-scale mission systems. You will work with customer stakeholders, architects, data scientists, and database administrators to translate complex requirements into secure, reliable, and high-performing solutions.
• 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 position requires an active TS/SCI security clearance with Polygraph.

Skills

Security clearance: TS/SCI with Poly

Oracle Database development

SQL/PLSQL

Data pipelines

Python scripting

Cloud platforms: OCI/AWS/Azure

Kubernetes

Geospatial data experience

Communication skills

Education

Bachelor’s degree in CS/IS/Engineering

Tools

OCI

Git

Container orchestration

Job description

Oracle is seeking an experienced Consulting Technical Manager and AI Database Developer to support IC programs from our Reston, VA office. This in-person role requires TS/SCI with polygraph and offers opportunities to design and optimize Oracle-based data platforms for mission systems.

You will collaborate with data scientists, DBAs, and architects to deliver secure, high-performance solutions, including vector embeddings, RAG workflows, and scalable data pipelines in a cloud and containerized