Job DescriptionSAIC is seeking qualified applicants to support a cutting-edge data, analytics, and AI platform. Roles include managing customer relationships, service portfolio and catalog management, software engineering & development, data/AI engineering, IT systems operations, and use case intake and analytics for DoW enterprise-scale mission objectives
expected in Spring/Summer 2026. Positions are contingent pending contract award. Place of Performance: The work will be performed in the Washington, DC Metropolitan Area (WDCMA). Some work may be performed remotely, subject to Government approval.
Job Responsibilities: - Provide Subject Matter Expertise in data engineering, solution architecture, and data operations, focused on enabling seamless data ingestion, transformation, and delivery while interfacing directly with stakeholders throughout the Data Lifecycle Management.
- Specialize in scalable architectures like Databricks Medallion Architecture, data agreements, and repeatable processes to rapidly build and manage data pipelines.
- Use deep expertise in data policy, compliance, and agentics to ensure efficient, secure, and scalable data operations, delivering value to users at scale.
- Design and develop solutions to complex applications problems, system administration issues, or network concerns.
- Perform systems management and integration functions.
Qualifications- Bachelors and fourteen (14) years or more experience; Masters and twelve (12) years or more experience; PhD or JD and nine (9) years or more experience.
- TS/SCI Clearance is required
- Knowledge, Skills, Abilities, and Competencies:
- Expertise in leading technical teams in data engineering, including data ingestion, transformation, and delivery processes
- Expertise in data engineering, including data ingestion, transformation, and delivery processes
- Ability to architect scalable data solutions using frameworks such as Databricks Medallion Architecture
- Strong understanding of data policy, compliance requirements, and secure data operations
- Proficiency in designing and developing solutions for complex application, system administration, and network issues
- Experience with systems management and integration functions
- Effective stakeholder communication and collaboration throughout the data lifecycle
- Capability to implement repeatable processes for building and managing data pipelines
- Analytical and problem-solving skills for addressing technical challenges
Preferred Certifications
The following certifications are considered a plus:
AWS
- AWS Certified Data Engineer - Associate
- AWS Certified Solutions Architect - Associate or Professional
- AWS Certified Security - Specialty
Databricks
- Databricks Certified Data Engineer Associate
- Databricks Certified Data Engineer Professional
- Databricks Certified Apache Spark Developer
