Bachelor's degree with 5+ years of relevant experience; 4 additional years can substitute for degree.
Experience in building data pipelines with a solid grasp of Medallion architecture principles.
Proficient in integrating Azure AI services into data workflows.
Strong programming skills in Python, bash, and JavaScript.
Experience in designing front-end UI/UX.
Knowledge of graph-based architecture and tools like LangGraph.
Familiarity with containerization and cloud deployment practices.
Responsibilities
Design and maintain scalable data ingestion pipelines from various sources into Azure Data Lake Storage.
Integrate Azure AI services into workflows for intelligent data enrichment.
Optimize ETL/ELT processes for enhanced performance and cost efficiency.
Collaborate with data scientists to ensure datasets meet AI model requirements.
Automate monitoring and error handling of data pipelines through CI/CD integration.
Participate in architecture reviews and contribute to data governance best practices.
Benefits
Opportunity to work in a dynamic environment supporting government stakeholders.
Engagement with cutting-edge technologies in data analytics and AI.
Collaboration with a team of skilled professionals in data engineering and science.
Potential for career growth within a reputable organization.
Work in a scenic location in Pearl City, Hawaii.
Full Job Description
Job Description
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.
Key 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.
Qualifications
Required Qualifications
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.
REQUIRED CLEARANCE:
Must have an active Secret clearance with ability to obtain a TS/SCI.
Must be a current US Citizen.
About SAIC
Science Applications International Corporation (SAIC) is a technology integrator in the technical, engineering, intelligence, and enterprise information technology markets. SAIC has approximately 26,000 employees and operates in more than 70 countries. The company was founded in 1969 and is headquartered in Reston, Virginia. SAIC provides services to the U.S. government, including the Department of Defense, the intelligence community, and civilian agencies. The company also serves commercial customers in the healthcare, energy, and financial services sectors.
