Data Engineer (TS/SCI) Jobs

Key Responsibilities: Data Engineering: Design, develop, and maintain production-grade streaming and batch data pipelines supporting machine learning applications. Machine Learning Support: Collaborate with ML engineers to prepare, transform, validate, and deliver datasets for model development, training, and analytics. AWS Cloud Development: Develop and support scalable cloud-based data processing and storage solutions, preferably within AWS environments. Python Development: Build maintainable Python-based applications, data processing workflows, and automation solutions. Streaming & Sensor Data: Integrate real-time and historical data from radar, OPIR, databases, APIs, and other sensor systems. Data Architecture: Evaluate and implement solutions for data ingestion, processing, storage, and access based on operational requirements. Data Quality: Establish consistent schemas, timestamps, metadata, and validation processes to ensure accurate and reliable datasets. System Reliability: Implement automated testing, monitoring, deployment, recovery, and reprocessing procedures. Technical Collaboration: Work with senior engineers and ML teams to evaluate technologies and improve data infrastructure. Required

Qualifications: Active TS/SCI security clearance. Strong programming and software development experience using Python. Experience with AWS cloud infrastructure and services. Experience supporting Machine Learning applications, workflows, or data pipelines. Experience designing, developing, and maintaining streaming and batch data pipelines. Knowledge of data ingestion, transformation, storage, and integration across multiple data sources. Understanding of streaming data concepts, including buffering, filtering, failure recovery, and replay. Experience working with time-series, telemetry, sensor, or other complex datasets. Familiarity with software engineering best practices, including version control, testing, and deployment. Ability to work independently in a primarily remote environment while collaborating with technical teams. Must reside within approximately one hour of Peterson SFB or Buckley SFB.Preferred

Qualifications: Experience working with radar, OPIR, or other defense-related sensor data. Experience supporting DoD, Space Force, missile warning, or ITW/AA programs. Familiarity with Apache Kafka, Amazon Kinesis, or similar streaming technologies. Experience with AWS data services and cloud-native architectures. Knowledge of Docker, Kubernetes, Terraform, or infrastructure-as-code tools. Experience with ML feature engineering, dataset versioning, labeling, or training-data preparation. Familiarity with workflow orchestration, automated delivery, and monitoring tools.group id: 10364617