Databricks Platform Engineer (AWS) - TS/SCI Clearance
Gaithersburg, MD
Full Time
Experienced
Required:
US citizenship; active Top Secret with SCI and ability to pass a polygraph
BS in CS/IS/Engineering (or related) + 8 years, or MS + 6 years
Enterprise Databricks administration experience
Proven AWS experience across compute, storage, databases, IAM, and networking
Excel for data transformation/graphing; PowerPoint for visuals
Classified cloud security/compliance familiarity
Security+ CE (or similar) within 6 months for privileged admin access
Agile/Scrum experience; Jira/Confluence
Strong problem solving, attention to detail, and ability to thrive in a fast-paced, mission environment
Preferred
DoD/IC customer experience; familiarity with IC data handling
Containers/orchestration (Docker, ECS/EKS)
Python (Pandas, Boto3, PySpark, MLOps), Java or Scala for data engineering
AWS certs (Solutions Architect, DevOps Engineer, etc.)
Bash scripting; Jupyter; Power Query/Power Pivot
Strong SQL (tuning, plans, indexing); data transforms and joins on common keys
Software patterns (Client–Server, Microservices, MVC)
Multi-cloud exposure (AWS, IBM, Google, Azure, Oracle)
CI/CD (Jenkins, GitLab) and Docker
US citizenship; active Top Secret with SCI and ability to pass a polygraph
BS in CS/IS/Engineering (or related) + 8 years, or MS + 6 years
Enterprise Databricks administration experience
Proven AWS experience across compute, storage, databases, IAM, and networking
Excel for data transformation/graphing; PowerPoint for visuals
Classified cloud security/compliance familiarity
Security+ CE (or similar) within 6 months for privileged admin access
Agile/Scrum experience; Jira/Confluence
Strong problem solving, attention to detail, and ability to thrive in a fast-paced, mission environment
Preferred
DoD/IC customer experience; familiarity with IC data handling
Containers/orchestration (Docker, ECS/EKS)
Python (Pandas, Boto3, PySpark, MLOps), Java or Scala for data engineering
AWS certs (Solutions Architect, DevOps Engineer, etc.)
Bash scripting; Jupyter; Power Query/Power Pivot
Strong SQL (tuning, plans, indexing); data transforms and joins on common keys
Software patterns (Client–Server, Microservices, MVC)
Multi-cloud exposure (AWS, IBM, Google, Azure, Oracle)
CI/CD (Jenkins, GitLab) and Docker
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