Why this role stands out
Leverage your expertise in Azure Data and AI services to build impactful data analytics solutions for critical government stakeholders, with a competitive salary range of $120,001 - $160,000 and the flexibility of a hybrid work model. This mid-senior role is ideal for a skilled engineer who thrives on complex challenges, enjoys collaborating with data scientists, and is eager to contribute to cutting-edge full-stack development in a secure environment. Don't miss this opportunity to advance your career and make a significant contribution.
Quick overview
Job description
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
- 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. Target salary range: $120,001 - $160,000. The estimate displayed represents the typical salary range for this position based on experience and other factors.
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