Data Engineer jobs in United States
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Defense Unicorns · 9 hours ago

Data Engineer

Defense Unicorns is a contractor for the U.S. government, focused on delivering secure solutions for continuous software integration and delivery. They are seeking a Data Engineer to design data workflows, implement systems engineering principles, and ensure compliance with industry regulations.

AppsArtificial Intelligence (AI)National SecuritySoftwareSoftware Engineering
badNo H1BnoteSecurity Clearance RequirednoteU.S. Citizen Onlynote

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
Staying up-to-date with industry trends and emerging technologies related to Kubernetes, containerization, and data engineering

Qualification

Data EngineeringKubernetesAWS CloudKafkaTerraformContainerizationCybersecurity principlesMachine LearningProblem-solvingCommunication

Required

U.S. Citizenship is required
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
Staying up-to-date with industry trends and emerging technologies related to Kubernetes, containerization, and data engineering
Travel Expectations/Requirements: 6-10 times per year
The selected candidate will be subject to a pre-employment background check ('CBI') and must be able to obtain and maintain a Secret-level DoD security clearance

Preferred

Demonstrated experience 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
Excellent problem-solving skills, with the ability to work independently and as part of a team
Excellent communication skills, with the ability to convey complex ideas to both technical and non-technical team members
Experience with machine learning and generative AI models

Benefits

Medical/Dental/Vision
Premiums are 100% Company Paid
Health Reimbursement Account
Life Insurance
Disability Insurance
401k Retirement Plan
Company Stock Options
Home Office Budget
Unlimited paid time off, with a mandatory 10 days off on top of 11 federal government holidays, week of Thanksgiving, last two weeks of December (including New Year’s Day)
Paid Parental Leave
Reimbursement for approved trainings/subscriptions
Conferences (travel, lodging, and fees)

Company

Defense Unicorns

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Defense Unicorns is a software startup that provides open-source software and AI capabilities for national security systems.

Funding

Current Stage
Growth Stage
Total Funding
$171.5M
Key Investors
Bain Capital Tech Opportunities
2026-01-13Series B· $136M
2024-03-07Series A· $35M
2022-10-13Seed· $0.5M

Leadership Team

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Robert Slaughter
Chief Executive Officer
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Jeff McCoy
Chief Technology Officer
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Company data provided by crunchbase