Senior Data Engineer

This is a 100% remote, TS / SCI required, mission-critical role focused on designing, building, and optimizing high-throughput, stateless data processing pipelines.

The successful candidate will develop a portable, scalable architecture that produces high-quality data streams from complex rule sets.

This data will be deployable on an infrastructure that is containerized, scales dynamically, and strictly adheres to government security protocols and quality standards.

Clearance :

• An active TS / SCI Security Clearance is required Responsibilities
• Pipeline development and orchestration : Design, implement, and maintain complex data workflows that use an "Extract, Load, and Enrich" (ELE) or a similar methodology to create high-fidelity data streams from foundational rules.
• You'll need to use distributed processing frameworks to achieve high computational efficiency and throughput.

This includes an expert-level proficiency in orchestration systems like Apache Airflow.

This includes a critical understanding of geospatial trajectories and activity patterns.

Expertise in containerization technologies like Docker and Kubernetes is mandatory for building single-container deployable solutions that can scale dynamically.

You will also need to define source-to-target mapping directly as pipeline code to ensure auditable and verifiable software baselines.

Requirements Education :

Experience :

Programming :

Distributed data processing :

Workflow orchestration :

Data modeling & storage :

Containerization & deployment :

Cloud / Infrastructure :

Quality & CI / CD :