defenseunicorns
Data Engineer
At a Glance
- Location
- United States
- Work Regime
- remote
- Experience
- 5+ years
- Posted
- 2026-03-20T13:33:55-04:00
Key Requirements
Required Skills
Domain Knowledge
- Automation
- Cybersecurity
- Defense
- Engineering
- Finance
- Government
- Insurance
- Medical
Requirements
Demonstrated experience (minimum 5 years) in building and maintaining production data pipelines, databases, and data exchange services on Kubernetes Experience in designing, deploying, and operating Kafka / Redpanda data streaming solutions on Kubernetes
Experience in creating data pipelines from scratch with the ability to process data in large volumes and manage data stores
Experience with containerization technologies such as Docker and container orchestration systems like Kubernetes
Knowledge of systems engineering principles to ensure the reliability, scalability, and maintainability of data layer systems Familiarity with API Security, Container Security, AWS Cloud Security Familiarity with cybersecurity principles and best practices for securing data layer systems
Experience with machine learning and generative AI models
Defense Unicorns delivers mission value by streamlining software delivery so our customers can focus on the most important challenges.
Responsibilities
Designing data workflows, pipelines, and pathways to support ETL/ELT, while ensuring data-quality and exchange of sensitive information across AWS cloud and on-prem environments.
Implementing systems engineering principles to ensure the reliability, scalability, and maintainability of data layer systems, including backup and recovery strategies
Architecting, deploying, and operating data streaming technologies (Kafka, Redpanda, Kinesis, etc ) on Kubernetes with an emphasis on declarative definitions to reduce complexity in day-2 operations
Working with a platform team to implement best practices for configuration management, security, and performance optimization within Kubernetes and AWS environments
Working with a platform team to automate infrastructure provisioning, monitoring, and scaling using tools such as Terraform working with cybersecurity SMEs to incorporate best practices and techniques to defend our data layer against potential threats
Ensuring that our data layer systems are compliant with industry and DoD regulations, standards, and best-practices