Tech Stack

Description

You will design and implement scalable ETL/ELT pipelines, deploy cloud infrastructure on AWS or Azure, and work with streaming data and AI/ML integration to support data-driven solutions for federal clients.

Requirements

• Active TS/SCI clearance
• Bachelor's or master's degree in computer science, engineering, or related field
• 10+ years of experience in data engineering or software development
• Strong proficiency in Python with pandas, PySpark, or FastAPI
• Experience with cloud services (AWS or Azure) and data engineering tools

Responsibilities

• Collect and integrate data from structured and unstructured sources including APIs, RDBMS, and real-time streams
• Design and implement scalable ETL/ELT pipelines with ontology-driven transformations
• Build and deploy data pipelines on AWS or Azure using managed services
• Process high-volume streaming data with Apache Kafka
• Collaborate with data scientists to integrate LLMs and ML models into pipelines