Azure Data Software Engineer

SAIC • Pearl City, HI

1d • Onsite

About The Position

SAIC is seeking an Azure Data Software Engineer located at Pearl City in Hawaii to support USPACOM to design, implement, and maintain a full-stack software system that provides Data Analytics and AI Services to a variety of Government stakeholders. The back-end system ingests raw data from diverse sources, enriches it through AI services, and delivers curated datasets for analytics and machine learning. The front-end system provides a catalog of services to end-users, including data visualizations, data ingest, and document generation.

Requirements

• Bachelor’s and five (5)+ years of related experience; additional four (4) years of experience considered in lieu of degree.
• Proven experience building data pipelines and a strong understanding of Medallion architecture principles and their practical implementation.
• Experience integrating Azure AI services into data workflows.
• Proficiency in Python, bash, and Javascript.
• Proficiency designing front-end UI/UX.
• Proficiency in graph-based architecture and software such as LangGraph.
• Proficiency in containerization and cloud deployment.
• Familiarity with GitLab CI/CD for data engineering.
• Knowledge of data governance, security, and compliance best practices.
• Must have an active Secret clearance with ability to obtain a TS/SCI.
• Must be a current US Citizen.

Responsibilities

• Design, build and maintain scalable data ingestion pipelines from diverse sources (APIs, databases, streaming feeds) into Azure Data Lake Storage.
• Integrate Azure AI services (e.g. Azure Machine Learning) into transformation workflows for intelligent enrichment.
• Optimize ETL/ELT processes for performance, reliability, and cost efficiency.
• Collaborate closely with data scientists to ensure datasets are AI-ready and aligned with model requirements.
• Automate pipeline monitoring, error handling, and alerting via CI/CD integration.
• Participate in architecture reviews and contribute to best practices for data governance and security.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level