Data Engineer

• Design, develop, and maintain enterprise-scale data architectures and data pipelines for mission-critical systems
• Develop and implement ETL/ELT processes for structured and unstructured data sources
• Design and optimize data models, databases, and data workflows for performance, scalability, reliability, and security
• Develop software prototypes and proof-of-concept solutions
• Perform code reviews and ensure adherence to engineering standards, security requirements, and industry best practices
• Collaborate with system architects, software developers, data scientists, analysts, and government stakeholders
• Design and implement SQL and NoSQL database solutions
• Support Hadoop, Spark, Kafka, and similar large-scale data processing frameworks
• Develop and maintain cloud-based data architectures in AWS, Azure, or Google Cloud environments
• Implement data security controls, including encryption, data masking, access controls, auditing, and monitoring
• Ensure compliance with DoD cybersecurity requirements, security policies, and governance standards
• Establish and maintain data quality management processes and controls
• Support data governance and master data management initiatives
• Develop automation solutions for data integration, monitoring, and operational efficiency
• Participate in DevSecOps initiatives and CI/CD pipeline development
• Utilize containerization and orchestration technologies for scalable deployments
• Identify technical risks and recommend mitigation strategies
• Provide technical leadership and mentorship to junior engineers and team members
• Present technical solutions and recommendations to government stakeholders and program leadership

Senior Data Engineer

• Design, develop, and maintain enterprise-scale data architectures and data pipelines supporting mission-critical systems
• Develop and implement ETL/ELT processes for structured and unstructured data sources
• Design and optimize data models, databases, and data workflows for performance, scalability, reliability, and security
• Develop software prototypes and proof-of-concept solutions for evolving customer requirements
• Perform code reviews and ensure adherence to engineering standards, security requirements, and industry best practices
• Collaborate with system architects, software developers, data scientists, analysts, and government stakeholders
• Design and implement SQL and NoSQL database solutions
• Support Hadoop, Spark, Kafka, and similar large-scale data processing frameworks
• Develop and maintain cloud-based data architectures in AWS, Azure, or Google Cloud environments
• Implement data security controls, including encryption, data masking, access controls, auditing, and monitoring
• Ensure compliance with DoD cybersecurity requirements, security policies, and governance standards
• Establish and maintain data quality management processes and controls
• Support data governance and master data management initiatives
• Develop automation solutions for data integration, monitoring, and operational efficiency
• Participate in DevSecOps initiatives and CI/CD pipeline development
• Utilize containerization and orchestration technologies for scalable deployments
• Identify technical risks and recommend mitigation strategies
• Provide technical leadership and mentorship to junior engineers and team members
• Present technical solutions and recommendations to government stakeholders and program leadership
• Support a mission-critical Department of Defense customer through secure, scalable, and resilient data solutions

• Lead enterprise data architecture supporting Salesforce Public Sector Solutions and cloud-based enterprise applications
• Design conceptual, logical, and physical enterprise data models
• Develop enterprise information architecture for structured and unstructured data
• Lead large-scale migration of structured data, documents, images, digital content, metadata, and historical records from legacy systems into modern cloud platforms
• Define migration strategies, migration waves, cutover planning, reconciliation, and rollback procedures
• Design ETL/ELT processes, transformation logic, canonical data models, and data synchronization strategies
• Establish data governance, metadata management, master data management, reference data management, and data quality standards
• Define data validation, cleansing, deduplication, reconciliation, and quality assurance processes
• Collaborate with application, integration, cloud, and DevSecOps teams on migration and deployment
• Partner with the MuleSoft Integration Architect on API data contracts, enterprise integrations, and data exchange strategies
• Design enterprise document and content migration strategies, including metadata, storage, indexing, searchability, retention, and archival
• Ensure compliance with Federal security standards, privacy requirements, Zero Trust principles, records management, and data governance policies
• Lead data architecture reviews, migration readiness assessments, and production cutover planning
• Mentor developers and technical teams on data architecture and migration best practices

Data Architect

• Support onboarding new cybersecurity systems and data sources into the Cyber Event Data Node (CEDN) environment
• Work with system owners, cybersecurity analysts, architects, and engineers to identify source data, collection requirements, formats, schemas, volumes, retention needs, and downstream use cases
• Configure and maintain Cribl pipelines for data collection, routing, parsing, transformation, enrichment, compression, filtering, and replay
• Assist with developing and maintaining Databricks data pipelines supporting raw, enriched, and normalized data layers within Delta Lake
• Develop and maintain Python, SQL, and scripting solutions to automate data ingestion, transformation, validation, and reporting
• Map structured, semi-structured, and unstructured data into standardized schemas and security data models
• Conduct data-quality checks for completeness, accuracy, timeliness, formatting, and successful downstream delivery
• Troubleshoot ingestion failures, malformed events, schema changes, pipeline errors, latency, and other data-flow issues
• Support integrations with Splunk Cloud, ServiceNow, Power BI, Tableau, and other authorized consumers
• Apply metadata, tagging, access controls, and data-handling requirements in classified and unclassified environments
• Monitor pipeline health, throughput, storage consumption, and processing performance; help identify optimization opportunities
• Develop and maintain source-onboarding checklists, data-flow diagrams, interface documentation, configuration records, test plans, standard operating procedures, and troubleshooting guides
• Participate in testing and validation before new data sources are released into production
• Work within change-management, configuration-management, security authorization, and system development lifecycle processes
• Collaborate with senior data engineers, security engineers, data scientists, threat analysts, and mission stakeholders to translate operational needs into reliable data products
• Support knowledge transfer and provide basic technical guidance to data owners and platform users
• Support Peraton’s Department of State Diplomatic Security Cyber Mission program, protecting government infrastructure, systems, information, and mobile devices from cyber risks and threats

Junior Data Engineer

• Drive data and AI architecture and technology decisions
• Provide insights influencing strategy and planning for scalable data solutions or products
• Educate customers on scalable, flexible, resilient, secure, and cost-effective architectures
• Link technology with measurable business value and outcomes
• Identify and investigate new tools and technologies
• Translate client needs into digestible requirements