Data Engineer (FedD024)

Role overview

Design, operate, and secure data platforms that exchange sensitive information across AWS cloud and on-premises environments. This role covers production data pipelines, streaming systems, Kubernetes operations, infrastructure automation, reliability engineering, and compliance with government and defense standards. It is suited to an experienced data engineer who can work independently, collaborate with platform and cybersecurity specialists, and adapt as mission needs evolve.

Responsibilities

- Build data workflows and ETL/ELT pathways with strong controls for data quality and secure information exchange. - Apply systems-engineering practices to improve the reliability, scalability, maintainability, backup, and recovery of data-layer services. - Architect, deploy, and operate Kafka, Redpanda, Kinesis, or comparable streaming technologies on Kubernetes using declarative configuration. - Partner with platform engineers on configuration management, security, performance tuning, infrastructure provisioning, monitoring, and scaling in Kubernetes and AWS. - Use infrastructure-as-code practices, including Terraform, and incorporate cybersecurity guidance to protect data systems from threats. - Ensure data platforms align with applicable industry, Department of Defense, and other government regulations and standards. - Track relevant developments in Kubernetes, containers, streaming, and data engineering and apply appropriate improvements.

Requirements

- At least 5 years of experience building and operating production data pipelines, databases, and data-exchange services on Kubernetes. - Experience designing, deploying, and supporting Kafka or Redpanda streaming platforms in Kubernetes environments. - Ability to create high-volume data pipelines from the ground up and manage the associated data stores. - Experience with Docker, Kubernetes, systems engineering, API security, container security, and cloud security. - Strong problem-solving skills, self-direction, and ability to work effectively with technical and non-technical stakeholders. - U.S. citizenship, successful completion of a pre-employment background investigation, and ability to obtain and maintain a Secret-level Department of Defense clearance.

Nice to have

- Experience with machine learning or generative AI models.

Benefits and work setup

- Remote role within the United States, with expected travel approximately 6–10 times per year. - Published annual US salary range of $148,750–$201,250, with total compensation based on experience. - Benefits include fully employer-paid medical, dental, and vision premiums, HSA access, life and disability insurance, retirement matching, stock options, a home-office budget, flexible paid time off, federal holidays, paid parental leave, and support for approved training and conferences.