[Hiring] Data Engineer @Defense Unicorns

Role Description

This position will require U.S. citizenship.

• Designing data workflows, pipelines, and pathways to support ETL/ELT, 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.
• Automating 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 compliance of data layer systems 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 listed responsibilities are not exhaustive and additional responsibilities may be assigned based on the evolving needs of the organization.

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 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.

Requirements

• 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.

Benefits

• Health:
  • Medical/Dental/Vision - Premiums are 100% Company Paid.
  • Health Reimbursement Account.
  • Life Insurance.
  • Disability Insurance.
• Financial:
  • 401k Retirement Plan.
  • Company Stock Options.
  • Home Office Budget.
• Leave:
  • Flexible Time Off (FTO) plus all Federal Holidays, one week for Thanksgiving, and two weeks for Christmas and New Year’s.
  • Paid Parental Leave.
• Learning:
  • Reimbursement for approved trainings/subscriptions.
  • Conferences (travel, lodging, and fees).