Data Platforms Software Engineer, Senior – Annapolis Junction, Maryland, United States (Hybrid)

We build software that helps cyber operators and analysts make sense of fragmented, high-volume data. As a Senior Software Engineer, you’ll focus on backend services and production data pipelines for cyber platforms. You’ll own services and data pipelines from design through deployment and production support, working directly with operators, analysts, and other engineers to clarify requirements and decide how data is ingested, modeled, transformed, stored, and made available to applications. For example, you might build a pipeline that brings together network, endpoint, and other operational data whose formats and schemas change over time, then design the validation, transformation, and recovery mechanisms that keep that data usable when individual sources fail or change.

What you'll work on: - Define a testing strategy around important product behavior and the impact of failures, choosing where unit, integration, and end-to-end tests provide the most useful evidence. - Design and build a maintainable testing framework and reusable Python tooling using established testing libraries. - Integrate automated checks into CI/CD workflows and keep feedback fast and reliable enough for daily development. - Create representative test data, reproducible test environments, and diagnostics that help engineers reproduce failures and distinguish product defects from test, data, or environment problems. - Report what was validated, what failed, and where meaningful gaps remain so engineers ha

Data Platforms Software Engineer, Senior – Annapolis Junction, Maryland, United States (Hybrid)

We build software that helps cyber operators and analysts make sense of fragmented, high-volume data. As a Senior Software Engineer, you’ll focus on backend services and production data pipelines for cyber platforms. You’ll own services and data pipelines from design through deployment and production support, working directly with operators, analysts, and other engineers to clarify requirements and decide how data is ingested, modeled, transformed, stored, and made available to applications. For example, you might build a pipeline that brings together network, endpoint, and other operational data whose formats and schemas change over time, then design the validation, transformation, and recovery mechanisms that keep that data usable when individual sources fail or change.

What you'll work on: - Define a testing strategy around important product behavior and the impact of failures, choosing where unit, integration, and end-to-end tests provide the most useful evidence. - Design and build a maintainable testing framework and reusable Python tooling using established testing libraries. - Integrate automated checks into CI/CD workflows and keep feedback fast and reliable enough for daily development. - Create representative test data, reproducible test environments, and diagnostics that help engineers reproduce failures and distinguish product defects from test, data, or environment problems. - Report what was validated, what failed, and where meaningful gaps remain so engineers ha