Data Engineering Team Lead

Job Description

Description


SAIC 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.

Job Responsibilities:

• Design, build, and maintain the core WDP data infrastructure and pipelines using agentic workflows to streamline operations and enhance automation.
• Ensure the scalability, reliability, and security of the platform to support data ingestion, processing, storage, and transformation for various consumers, including data tooling teams.
• Develop enterprise data products accessible via a modern data marketplace, implement a medallion architecture for data storage (bronze, silver, gold zones), and establish self-service inbound and outbound data connection methods.
• Implement data quality monitoring tools, proactive alerting for pipeline issues, and data drift detection mechanisms.
• Enforce data security policies, optimize infrastructure for performance and scalability, ensure data backup and recovery, and implement robust data governance policies.
• Document pipelines, models, and governance standards while ensuring compliance with data privacy and security regulations.
• Design and develop solutions to complex applications problems, system administration issues, or network concerns. Perform systems management and integration functions.

Qualifications

• Bachelors and nine (9) years or more experience; Masters and seven (7) years or more experience ; PhD or JD and four (4) years or more experience.
• Active TS/SCI Clearance Required.

Knowledge, Skills, Abilities, and Competencies:

• Experience developing large-scale data-intensive systems using Big Data technologies such as Hadoop, Databricks, and Splunk.
• Expert in designing future-state architectures for AI/ML, data analytics, and enterprise data management, as well as migrating systems to cloud platforms like AWS and Azure to improve scalability, cost-efficiency, and regulatory compliance.
• Proficient in selecting appropriate databases (HDFS, SQL, NoSQL) and optimizing their performance while managing data lakes, metadata, and governance frameworks to enhance organizational decision-making and data quality.
• Demonstrated expertise in identifying performance bottlenecks, conducting cost-benefit analyses, and delivering solutions to federal and DoD clients, ensuring alignment with cybersecurity and operational requirements.
• Skilled in leading multi-disciplinary teams, advising CDOs and CIOs, and leveraging technical tools and strategies to drive digital transformation, improving DevSecOps workflows, and achieving agency missions.

Overview


SAIC accepts applications on an ongoing basis and there is no deadline.

SAIC® is a premier mission integrator focused on advancing the power of technology and innovation to serve and protect our world. Our robust portfolio of offerings across the defense, space, intelligence, and civilian markets includes secure high-end solutions in mission IT, enterprise IT, engineering services, and professional services. We integrate emerging technology, rapidly and securely, into mission critical operations that modernize and enable critical national imperatives.


We are approximately 23,000 strong; driven by mission, united by purpose, and inspired by opportunities. SAIC is an Equal Opportunity Employer. Headquartered in Reston, Virginia, SAIC has annual revenues of approximately $7.3 billion. For more information, visit saic.com. For ongoing news, please visit our newsroom.