BDR Solutions LLC

Systems Engineer

• Own the end-to-end Oracle EPM Cloud solution architecture and serve as design authority for module configuration, integration, and data workstreams
• Design Enterprise Data Management structures, including applications, viewpoints, hierarchies, node types, request workflows, and subscriptions
• Translate business rules and cost-allocation logic into EPM designs, favoring out-of-the-box functionality over customization
• Develop business rules, calculation logic, and data integrations using Calculation Manager, Groovy rules, EPM data integration, EPM Automate, and REST APIs
• Review and approve technical design, configuration, and code packages produced each sprint
• Design inbound integrations from DMHRSi, GFEBS, MHS GENESIS, and DMLSS
• Design the outbound monthly transmission file to the Data Repository
• Advise on platform performance, environment strategy, and Oracle quarterly update impacts
• Participate in sprint planning, reviews, and retrospectives with Government stakeholders
• Mentor configuration and development staff and perform peer reviews
• Lead design, development, and unit testing of custom interfaces, extensions, and integrations
• Gather requirements, translate business needs into technical specifications, and manage data-interface workflows
• Provide expert guidance across all five EPM modules and support release management

Senior ERP Architect, Systems Developer

Security Analyst

• Lead and manage the complete DoD Authority to Operate (ATO) process
• Serve as the primary cybersecurity liaison between project stakeholders, Government cybersecurity officials, and the ISSO
• Develop, maintain, and manage RMF artifacts and documentation, including System Security Plans, Plans of Action & Milestones, Security Assessment Reports, and Security Control Traceability Matrices
• Direct implementation and maintenance of DoD RMF controls and security requirements
• Lead vulnerability management activities, including security scanning, risk analysis, remediation planning, and continuous monitoring
• Manage and oversee STIG implementation and compliance activities
• Coordinate cybersecurity assessments, audits, and authorization reviews
• Ensure compliance with DoD cybersecurity policies, FedRAMP requirements, and DoD Cloud Computing Security Requirements Guide standards
• Support accreditation activities for Impact Level (IL) 4 and IL5 cloud environments
• Provide cybersecurity subject matter expertise to program leadership and technical teams
• Monitor cybersecurity risks and recommend mitigation strategies to maintain system authorization status

Cybersecurity Analyst

Technician

• Accurately receive, store, and issue medical and non-medical supplies and materials
• Maintain inventory control, documentation, and detailed records of inventory levels, orders, and usage
• Inspect incoming supplies for quality and compliance; document discrepancies or damages
• Monitor stock levels and reorder supplies as necessary
• Coordinate with vendors and suppliers to ensure timely deliveries
• Assist with logistics operations, including shipping, receiving, and distribution
• Follow safety protocols and regulations when handling and storing hazardous materials
• Collaborate with departments to identify supply needs and resolve supply chain issues
• Prepare reports and assist with supply budgets

Materials Coordinator – Supply Technician

Software Engineer

• Design, build, and evolve high-quality Android experiences using Kotlin and modern Android frameworks
• Own complex Android features from discovery through post-release monitoring
• Set and evolve technical direction for Kotlin, Jetpack Compose, app architecture, modularization, networking, persistence, and dependency management
• Write technical designs and identify tradeoffs, risks, dependencies, and migration plans
• Build accessible, responsive interfaces with product design and research
• Improve automated unit, integration, UI, and end-to-end testing
• Strengthen observability, performance, crash health, security, privacy, and release confidence
• Partner with backend and platform teams on API contracts, offline behavior, authentication, experimentation, and analytics
• Collaborate with iOS engineers on shared product behavior and mobile standards
• Review code, mentor engineers, and improve technical decision-making
• Participate in planning, estimation, incident response, and continuous improvement of mobile delivery processes

Mobile Developer

• Own the design and implementation of complex Android features from discovery through monitoring after release.
• Set and evolve technical direction for Kotlin, Jetpack Compose, app architecture, modularization, networking, persistence, and dependency management.
• Write technical designs and surface tradeoffs, risks, dependencies, and migration plans before implementation.
• Build accessible, responsive interfaces in partnership with product design and research.
• Improve automated testing across unit, integration, UI, and end-to-end layers.
• Strengthen observability, performance, crash health, security, privacy, and release confidence for the Android app.
• Partner with backend and platform teams on API contracts, offline behavior, authentication, experimentation, and analytics.
• Collaborate with iOS engineers on shared product behavior and mobile standards.
• Review code, mentor engineers, and improve technical decisions and team practices.
• Participate in planning, estimation, incident response, and continuous improvement of the mobile delivery process.

• Design, build, and evolve high-quality Android experiences using Kotlin and modern Android frameworks
• Own complex Android features from discovery through post-release monitoring
• Set technical direction for Kotlin, Jetpack Compose, app architecture, modularization, networking, persistence, and dependency management
• Write technical designs and identify tradeoffs, risks, dependencies, and migration plans
• Build accessible, responsive interfaces with product design and research partners
• Improve unit, integration, UI, and end-to-end automated testing
• Strengthen observability, performance, crash health, security, privacy, and release confidence
• Partner with backend and platform teams on API contracts, offline behavior, authentication, experimentation, and analytics
• Collaborate with iOS engineers on shared product behavior and mobile standards
• Review code, mentor engineers, and improve technical decisions
• Participate in planning, estimation, incident response, and continuous improvement of mobile delivery

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 to integrate data solutions into enterprise applications
• Design and implement SQL and NoSQL database solutions
• Support large-scale data processing frameworks including Hadoop, Spark, and Kafka
• 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 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

• Design, develop, and maintain enterprise-scale data architectures and pipelines for mission-critical systems
• Develop and implement ETL/ELT processes for structured and unstructured data sources
• Design and optimize data models, databases, and workflows for performance, scalability, reliability, and security
• Develop software prototypes and proof-of-concept solutions for evolving customer requirements
• Perform code reviews and enforce 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 large-scale data processing frameworks such as Hadoop, Spark, and Kafka
• 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 for data integration, monitoring, and operational efficiency
• Participate in DevSecOps initiatives and CI/CD pipeline development
• Use 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

• 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

• 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 to integrate data solutions into enterprise applications.
• Design and implement solutions using SQL and NoSQL database technologies.
• Support large-scale data processing frameworks including Hadoop, Spark, and Kafka.
• Develop and maintain cloud-based data architectures within 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 to improve 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 in secure environments.

• 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 to improve 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, and analysts to integrate data solutions into enterprise applications
• Design and implement SQL and NoSQL database solutions
• Support large-scale data processing frameworks such as Hadoop, Spark, and Kafka
• 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 to improve 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