Platform Engineer (DataOps)

Role overview Help create and operate a shared DataOps platform for teams working with large-scale data services. The role focuses on cloud-native infrastructure, reusable tools, and helping developers adopt reliable workflows that support security compliance and continuous improvement.

Responsibilities - Build and continuously improve the DataOps platform and its shared tools and libraries. - Assess new technologies and practices for platform and data processing needs. - Support development teams as they adopt platform capabilities. - Deliver automated solutions and compliance pipelines for federal application security requirements. - Participate in agile delivery and team process improvement.

Requirements - Strong programming skills in at least one language, such as Python or C++. - Experience with Kubernetes and containerization. - Familiarity with a cloud provider such as GCP, AWS, or Azure. - Experience with Kafka, Pub/Sub, or a similar messaging service, and Airflow or a comparable workflow tool. - Knowledge of data processing applications and modern cloud-based data infrastructure. - Linux command-line skills and a STEM degree or equivalent systems engineering experience.

Nice to have Experience with Docker, GitOps, infrastructure as code, source control and CI/CD platforms, artifact management, observability, logging, secrets management, data transfer, or streaming systems. Agile experience and familiarity with sound design and architecture practices are also useful.

Benefits and work setup This is a full-time opportunity with onsite and/or remote work in the Bethesda, Maryland area. The stated target salary range is $115,000–$150,000, based on experience and location. Benefits include medical, dental and vision coverage, an employer-supported retirement plan, paid holidays and vacation, flexible scheduling, and tuition reimbursement.