DataOps Engineer

Overview

We are seeking SC Cleared DataOps Engineers to contribute to a dynamic Data Platforms team focused on transforming customers' digital and data capabilities using modern cloud infrastructures. The role involves collaboration across the entire data lifecycle, creating scalable solutions that enhance data ingestion, processing, and application development. Candidates will engage with advanced technologies, including cloud-native deployments and AI integration, while ensuring data quality and governance throughout the process.

Responsibilities

• Build scalable data pipelines, lakes, warehouses, and streaming solutions using technologies like Spark and Airflow.
• Develop APIs, microservices, and web applications to securely expose data.
• Create GenAI applications, including RAG and conversational interfaces.
• Implement CI/CD processes and manage cloud-native deployments on Kubernetes or Red Hat OpenShift.
• Embed data quality, governance, observability, and monitoring practices from the beginning.

Requirements

• Solid experience in data engineering, DataOps, or full stack development with a focus on data.
• Proficiency in programming languages such as Python, Java, Node.js, SQL, and React.
• Experience with cloud platforms, Docker, Kubernetes, and CI/CD methodologies.
• Strong problem-solving abilities and effective communication skills in a collaborative environment.
• Active SC Clearance is mandatory.
• Familiarity with technologies such as PostgreSQL, OpenShift, GenAI/LLM integration, and Power BI is a plus.