Data Engineer

About Our Client:

The organization operates as a contractor for the U.S. government, specializing in delivering secure solutions for continuous software integration and delivery. It addresses challenges in the federal market by consolidating best practices in security pipelines, testing, and deployment automation to meet stringent security requirements. The organization supports defense and civil agencies across the U.S. government and collaborates with creators of advanced software solutions to enhance the security and usability of commercial software products. Its work includes Kubernetes, cloud environments, infrastructure-as-code, continuous delivery, automation tooling, and open-source projects.

About the Opportunity:

The Data Engineer role focuses on designing, deploying, and maintaining data workflows and streaming technologies to support secure and scalable data exchange in cloud and on-premise environments. This position is essential in ensuring the reliability, scalability, and security of data systems, contributing to the organization's mission of delivering secure, efficient software solutions for government clients.

Responsibilities:

• Design data workflows and pipelines to support ETL/ELT processes, ensuring data quality and secure exchange across AWS cloud and on-premises environments

• Apply systems engineering principles to maintain reliable, scalable, and maintainable data systems, including backup and recovery

• Architect, deploy, and operate data streaming technologies such as Kafka, Redpanda, or Kinesis on Kubernetes, emphasizing declarative definitions

• Collaborate with platform teams to implement best practices in configuration management, security, and performance optimization

• Automate infrastructure provisioning, monitoring, and scaling using tools like Terraform

• Work with cybersecurity specialists to defend data systems against potential threats

• Ensure compliance with industry and Department of Defense regulations, standards, and best practices

• Stay current with industry trends and emerging technologies related to Kubernetes, containerization, and data engineering

• Travel as required, approximately 6 to 10 times per year

Requirements:

• Minimum five years of experience building and maintaining production data pipelines, databases, and data exchange services on Kubernetes

• Experience designing and operating Kafka or Redpanda data streaming solutions on Kubernetes

• Ability to create data pipelines handling large data volumes and manage data stores

• Proficiency with containerization (Docker) and orchestration systems (Kubernetes)

• Knowledge of systems engineering principles for data systems reliability, scalability, and maintainability

• Familiarity with API security, container security, AWS cloud security, and cybersecurity best practices

• Strong problem-solving skills and ability to work independently and in teams

• Effective communication skills for technical and non-technical audiences

• Ability to obtain and maintain a Secret-level Department of Defense security clearance following a background check

• Experience with machine learning and generative AI models

Pay Range and Compensation Package:

• Salary range: $124,250 to $166,750 USD annually, based on experience

• Compensation packages consider national benchmarking and apply across all U.S. locations

Equal Opportunity Statement:

Equal Opportunity Statement: Our client is an equal opportunity employer. They celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, or national origin.

Note:

TalentHop is not the Employer of Record (EOR) for this role. Our purpose in this opportunity is to connect exceptional candidates with leading employers. We help job seekers worldwide discover roles that match their goals and guide them to complete their full application directly through the hiring company’s career page or ATS.