Senior Data Engineer designing secure and scalable data systems for maritime and defense applications. Seeking experienced professional with strong expertise in AWS and Azure environments.
Responsibilities
Design, build, and maintain scalable batch and real-time machine learning, data science, and data export pipelines.
Architect and manage AWS and Azure cloud infrastructure.
Administer and optimize databases including MongoDB and PostgreSQL using RDS and EC2-hosted environments.
Implement replication strategies, failover systems, and resiliency management for high-availability operations.
Design systems that strictly separate public and private/classified data.
Support high-throughput streaming ingestion and processing (sensor, radar, SDR, maritime feeds).
Develop infrastructure-as-code and automated deployment pipelines.
Ensure secure-by-design architecture aligned with compliance requirements.
Provide guidance and architectural leadership for handling data at scale.
Monitor performance, reliability, and cost optimization across environments.
Collaborate with DevSecOps, AI/ML, and mission teams to deliver operational capabilities.
Requirements
7+ years of professional experience in Data Engineering
Proven experience building production-grade data pipelines
Strong hands-on experience with AWS (RDS, EC2, S3, IAM, VPC)
Experience with Azure data services
Database expertise in MongoDB and PostgreSQL
Proficiency in Python, TypeScript, and SQL
Experience implementing high-availability, replication, and disaster recovery strategies
Experience working in government, defense, or regulated environments
Active security clearance OR ability to obtain/maintain clearance
Experience with GIS systems and geospatial data architectures (preferred)
Experience with real-time streaming frameworks (Kafka, Kinesis, Spark, Flink) (preferred)
Familiarity with SDR, radio frequency data, radar systems, GIS, or maritime domain awareness platforms (preferred)
Experience managing high-velocity time-series or sensor data (preferred)
AWS certifications (Solutions Architect, DevOps, Data Analytics) (preferred)
Microsoft Azure certifications (preferred)
Experience with containerization (Docker, Kubernetes) (preferred)
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