Defense Unicorns
Data Engineer (FedD024)
About this role
This remote position requires a Data Engineer to design and operate secure, scalable data pipelines and streaming systems on Kubernetes for a U.S. government contractor. The role demands 5+ years of production data engineering experience, DoD security clearance eligibility, and U.S. citizenship.
What you'll do
- Design and maintain ETL/ELT data workflows with emphasis on data quality and secure handling of sensitive information across AWS and on-premises environments
- Deploy and operate data streaming technologies like Kafka and Kinesis on Kubernetes using declarative infrastructure definitions
- Architect reliable and scalable data layer systems with backup, recovery, and monitoring strategies
- Automate infrastructure provisioning and scaling using Terraform while collaborating with platform and security teams
- Ensure compliance with DoD regulations and industry security standards for data layer systems
- Stay current with emerging technologies in containerization, Kubernetes, and data engineering
What they're looking for
- Kubernetes and container orchestration
- Data pipeline development and ETL/ELT design
- Kafka/Redpanda streaming technologies
- AWS cloud platforms and services
- Terraform infrastructure-as-code
- Docker containerization
- Data security and cybersecurity principles
- Systems engineering and problem-solving
Benefits
- Competitive salary range: $124,250–$166,750 USD
- Remote work within the United States
- Opportunity to work on mission-critical defense and federal projects
- Collaboration with experienced team of innovators and veterans
- Professional development in cutting-edge cloud-native technologies
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Defense Unicorns
Defense Unicorns builds software platforms and infrastructure services for defense and government customers, including containerized applications, package management systems, and Kubernetes-based deployment environments for disconnected or hybrid cloud settings. The company is hiring software engineers, platform engineers, technical writers, and military SkillBridge interns to develop, deploy, and support these mission-critical systems.
- Website
- defenseunicorns.com
Likely interview questions
- Walk us through your experience designing and deploying Kafka or Redpanda data streaming solutions on Kubernetes in production environments.
- Describe a time you built a data pipeline from scratch to handle large data volumes. What challenges did you face and how did you ensure data quality and reliability?