Data Engineer (FedD024)

ITION WILL REQUIRE U.S. CITIZENSHIP. 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 strategiesArchitecting, deploying, and operating data streaming technologies (Kafka, Redpanda, Kinesis, etc ) on Kubernetes with an emphasis on declarative definitions to reduce complexity in day-2 operationsWorking with a platform team to implement best practices for configuration management, security, and performance optimization within Kubernetes and AWS environmentsWorking 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 threatsEnsuring that our data layer systems are compliant with industry and DoD regulations, standards, and best-practicesStaying 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 listed responsibilities are not exhaustive and additional responsibilities may be assigned based on the evolving needs of the organization. We are seeking a dynamic individual who is able to adapt and take on new responsibilities as they arise. *Preferred Experience and Qualifications 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 KubernetesExperience in creating data pipelines from scratch with the ability to process data in large volumes and manage data storesExperience with containerization technologies such as Docker and container orchestration systems like KubernetesKnowledge 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 systemsExcellent problem-solving skills, with the ability to work independently and as part of a teamExcellent communication skills, with the ability to convey complex ideas to both technical and non-technical team membersThe 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 clearanceExperience 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 Who We Are Defense Unicorns delivers mission value by streamlining software delivery so our customers can focus on the most important challenges. We a vision of freedom and security for the advancement of progress and innovation. Our commitment to this vision, and to our mission-driven customers, means a commitment to speed, user experience and optionality, without compromising security. Our team is composed of innovators, software engineers, and veterans with decades of experience delivering technology programs across the federal market. What We Do We create and deliver secure solutions for continuous software integration and delivery. Defense Unicorns consolidates the best practices for security pipelines, testing, and deployment automation in order to meet the high security requirements valued by mission owners. Our solutions are agnostic by design and we believe that growing a robust ecosystem of secure, cloud-native software solutions can help enterprise customers inside and outside the federal market buy and integrate software more easily. Who We Serve Defense Unicorns’ customers are mission-focused leaders across public and private enterprises. We proudly support defense and civil agencies across the U.S. government and we work closely with the creators of leading-edge software solutions to deliver value to the mission-owner by improving the security and consumability of commercial software products. What We Work On KubernetesCloud Environments (AWS/GCP and Azure)Infrastructure-as-code (like Terraform/Pulumi)Continuous Delivery and automation toolingGitOpsContainersCNCF projects and open source products and packagesHelm/Kustomize-Value Stream MappingBuilding and improving security deliveryBuilding Kubernetes and cloud native applications Benefits Our Unicorns Enjoy Health: Medical/Dental/VisionPremiums are 100% Company PaidHealth Savings AccountLife InsuranceDisability Insurance Financial: 401k Retirement PlanCompany Stock OptionsHome Office Budget Leave: 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’sPaid Parental Leave Learning: Reimbursement for approved trainings/subscriptionsConferences (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. CCPA DISCLOSURE Skills: Data Science & Analytics