Azure Data Software Engineer

Responsibilities

• Design, build, and maintain scalable data ingestion pipelines from APIs, databases, and streaming feeds into Azure Data Lake Storage.
• Integrate Azure AI services, including Azure Machine Learning, into data transformation workflows for intelligent enrichment.
• Optimize ETL/ELT processes for performance, reliability, and cost efficiency.
• Collaborate with data scientists to produce datasets aligned with AI and machine learning model requirements.
• Automate pipeline monitoring, error handling, and alerting through CI/CD integration.
• Participate in architecture reviews and contribute to data governance, security, and compliance best practices.
• Support full-stack software systems that provide data analytics and AI services, including front-end data visualizations, data ingestion, and document generation.

Requirements

• Bachelor’s degree and five or more years of related experience, or an additional four years of experience in lieu of the degree.
• Experience building data pipelines and implementing Medallion architecture principles.
• Experience integrating Azure AI services into data workflows.
• Proficiency in Python, Bash, and JavaScript.
• Proficiency designing front-end UI/UX.
• Proficiency with graph-based architecture and software such as LangGraph.
• Proficiency with containerization and cloud deployment.
• Familiarity with GitLab CI/CD for data engineering.
• Knowledge of data governance, security, and compliance best practices.
• Active Secret clearance with the ability to obtain TS/SCI clearance.
• Current U.S. citizenship.

Benefits

• Position is located in Pearl City, Hawaii.
• The role supports USPACOM and government stakeholders.