Database Engineer

About Peraton

Peraton is a next-generation national security company that drives missions of consequence spanning the globe and extending to the farthest reaches of the galaxy. As the world’s leading mission capability integrator and transformative enterprise IT provider, we deliver trusted, highly differentiated solutions and technologies to protect our nation and allies. Peraton operates at the critical nexus between traditional and nontraditional threats across all domains: land, sea, space, air, and cyberspace. The company serves as a valued partner to essential government agencies and supports every branch of the U.S. armed forces. Each day, our employees solve the most daunting challenges that our customers face. Visit peraton.com to learn how we’re keeping people around the world safe and secure.

About The Role

Peraton is seeking a Data Engineer with AI experience to support data modernization efforts for two existing business applications undergoing a major transformation. This position will be responsible for assisting with evaluating legacy data structures, designing modern data architectures, and enabling reliable, scalable, and secure data flows within the new modernization framework utilizing AI tools and methodologies. The ideal candidate has experience with enterprise data engineering, analytics, integration patterns, AI technologies, and cloud-based modernization initiatives.

Key Responsibilities

Data Architecture & Modernization Support

• Assist and support the design and implementation of modern data architectures that support the modernization framework, including data models, pipelines, and integration layers.
• Assess legacy systems to understand data structures, data quality, storage mechanisms, and transformation logic.
• Define strategies for data migration, data cleansing, normalization, and reconciliation between legacy and modernized systems.
• Help establish data standards, naming conventions, and governance practices for the modernized ecosystem.

Data Pipeline Development & Integration

• Assist with building and maintaining scalable data pipelines to support ingestion, transformation, and distribution of data across the modernized platform.
• Implement ETL/ELT solutions using modern data engineering tools and cloud services.
• Design APIs, streaming processes, and batch ingestion workflows as needed for system integration.
• Ensure data pipelines follow best practices for reliability, performance, and security.

Analytics & Business Insights

• Analyze legacy and modern data sets to identify inconsistencies, gaps, and transformation requirements.
• Work with business analysts and application teams to translate business needs into data requirements for the modernized applications.
• Create dashboards, reports, and analytic outputs to support modernization decision-making.

Collaboration

• Collaborate closely with architects, system developers, business analysts, and security teams to drive modernization goals.
• Participate in Agile ceremonies and contribute to planning and prioritization of modernization tasks.
• Identify data-related risks and issues.

Quality, Security, & Compliance

• Implement and enforce data validation, quality checks, and monitoring processes across pipelines.
• Support metadata management, data lineage, and data cataloging efforts.

AI Insight and Support

• Identify and implement opportunities to integrate artificial intelligence (AI) solutions throughout the Software Development Lifecycle (SDLC) and Dev Sec Ops processes.
• Identify and research AI-driven tools and methodologies to enhance automation, efficiency, and accuracy in areas such as code analysis, testing, security, and deployment pipelines.
• Collaborate with development and Dev Sec Ops teams to understand current workflows, identifying areas where AI can add value, and building or integrating AI solutions to streamline processes li