Data Engineer (FedD024)

• 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

• 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

• 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

• 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

• Experience with machine learning and generative AI models

Full compensation packages are based on candidate experience. Compensation ranges are established using national benchmarking data and apply across all geographic locations within the United States.

Remote - USA

$148,750 - $201,250 USD

• Kubernetes

• Cloud Environments (AWS/GCP and Azure)

• Infrastructure-as-code (like Terraform/Pulumi)

• Continuous Delivery and automation tooling

• GitOps

• Containers

• CNCF projects and open source products and packages

• Helm/Kustomize-Value Stream Mapping

• Building and improving security delivery

• Building Kubernetes and cloud native applications

• Medical/Dental/Vision

• Premiums are 100% Company Paid

• Health Savings Account

• Life Insurance

• Disability Insurance

• 401k Retirement Plan

• Company Stock Options

• Home Office Budget

• We offer all full-time Unicorns Flexible Time Off (FTO) plus all Federal Holidays, one week for Thanksgiving, and two weeks for Christmas and New Year's

• Paid Parental Leave

• Reimbursement for approved trainings/subscriptions

• Conferences (travel, lodging, and fees)

Don't have all the preferred experience or qualifications? Studies show that underrepresented groups like women and people of color are less likely to apply to jobs if they don't meet every requirement listed.

At Defense Unicorns, we're committed to diversity. If you're enthusiastic about the role but don't match every criteria, we encourage you to apply. You could be the perfect fit for this or another role! Defense Unicorns is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, disability, sex, sexual orientation, gender identity or expression, age, national origin, veteran status, genetic information, union status and/or beliefs, or any other characteristic protected by federal, state, or local law.