We are seeking a Data Engineer to design, implement, and maintain production data pipelines, databases, and data exchange services on Kubernetes. The ideal candidate will have experience in designing, deploying, and operating Kafka/Redpanda data streaming solutions on Kubernetes, as well as experience with containerization technologies like Docker and Kubernetes. The selected candidate will be subject to a pre-employment background check and must be able to obtain and maintain a Secret-level DoD security clearance.
Requirements
- 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
- Travel Expectations/Requirements: 6-10 times per year
Benefits
- Medical/Dental/Vision
- Premiums are 100% Company Paid
- Health Reimbursement Account
- Life Insurance
- Disability Insurance
- 401k Retirement Plan
- Company Stock Options
- Home Office Budget
- 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)
To apply for this job please visit job-boards.greenhouse.io.

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