Cloud Data Engineer (Databricks / Python) – San Diego CA

Locations: San Diego, California

Security Clearance Required: Active DoD Cleared

Cloud Computing Technologies AI (CCT AI) is building the next generation of mission-critical data platforms supporting the Department of Defense, Combatant Commands, and Federal national security organizations. Our teams engineer resilient, secure, and scalable cloud-native data ecosystems that enable real-time analytics, machine learning, and operational intelligence across globally distributed defense environments.

We are actively seeking Cloud Data Engineers with strong Databricks and Python expertise who understand the realities of working inside classified, controlled, and mission-sensitive environments. This role is not limited to simply building pipelines—it involves architecting the data backbone that powers operational decisions, autonomous analytics, and AI-enabled defense systems.

If you have supported DoD, Intelligence Community, or Federal mission systems and want to work with modern cloud data platforms while expanding your career opportunities, we encourage you to apply. Even if your availability is future-dated, your profile will be considered for upcoming programs.

Cloud Computing Technologies

Cloud Computing Technologies is a Federal AI, cloud, and data engineering firm supporting national security and defense missions. Our engineers work directly on high-impact programs involving operational analytics, autonomous decision support, secure cloud modernization, and AI-enabled mission systems.

Our teams are composed of professionals who understand both modern cloud technology and the operational realities of DoD environments, including classification requirements, disconnected environments, and secure enclave deployments.

We are building a long-term pipeline of cleared cloud data engineers for multiple current and upcoming Federal programs.

Responsibilities as a Cloud Data Engineer

• Design, develop, and optimize scalable data pipelines using Python and Databricks
• Engineer robust ETL and ELT processes supporting mission analytics and operational reporting
• Build and maintain data lakehouse architectures in secure cloud environments
• Support ingestion and transformation of structured and unstructured mission data
• Develop automated data workflows supporting machine learning and analytics initiatives
• Integrate data from multiple mission systems, sensors, and operational platforms
• Ensure data integrity, reliability, and performance across production environments
• Support deployment and sustainment of data pipelines in classified or controlled networks
• Collaborate with data scientists, analysts, and mission stakeholders
• Optimize data platforms for performance, scalability, and mission readiness
• Support cloud migration and modernization initiatives
• Develop documentation supporting long-term maintainability of mission systems

Qualifications and Requirements

• Active DoD Cleared
• Experience supporting Department of Defense, Intelligence Community, or Federal programs
• Strong Python programming experience
• Hands-on experience with Databricks
• Experience building ETL or ELT pipelines
• Experience with cloud platforms such as AWS, Azure, or Oracle Cloud
• Experience with SQL and relational databases
• Experience working with large-scale datasets
• Experience supporting secure or classified environments
• Understanding of data pipeline optimization and performance tuning
• Bachelor’s degree in Computer Science, Engineering, Data Science, or related field (or equivalent experience)

We Will be Ecstatic With

• Experience deploying Databricks in DoD or classified environments
• Experience supporting military operational systems
• Experience with data lakehouse architectures
• Experience supporting machine learning pipelines
• Experience with Spark and distributed data processing
• Experience supporting Combatant Commands, Navy, Air Force, Army, or SOCOM programs
• Experience supporting disconnected, intermittent, or low-bandwidth environments
• Experience supporting AI or autonomous analytics initiatives
• Experience with DevSecOps and CI/CD pipelines
• Experience with Infrastructure as Code

Benefits, Perks, and Compensation

• Highly competitive compensation based on clearance level, experience, and technical depth
• Opportunities supporting mission-critical national security programs
• Career advancement opportunities across multiple Federal programs
• Access to modern cloud and AI technology stacks
• Long-term program stability
• Opportunity to work with highly skilled Federal engineering teams
• Flexible program placement based on your location and clearance
• Future leadership and architecture opportunities
• Ability to support programs aligned with your career goals

Apply Now

Cloud Computing Technologies is actively building our cleared talent pipeline for current and upcoming Federal programs.

If you are a cleared Cloud Data Engineer with Databricks and Python experience, we strongly encourage you to apply.

Your resume will be reviewed by our Federal program leadership team and retained for consideration across multiple current and future opportunities.

Submit your resume today to be considered for this and other cleared Federal Cloud Data Engineering roles.

Cloud Computing Technologies AI
Federal AI • Cloud • Data Engineering • National Security Systems