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SteerBridge is a modern technology company delivering innovative, mission‑focused solutions to the U.S. Government and private sector. Leveraging deep expertise in federal acquisition, digital transformation, and emerging technologies, we deliver agile, commercial‑grade capabilities that accelerate operational effectiveness and drive measurable mission success. At the core of SteerBridge is our people—especially the veterans whose leadership, problem‑solving mindset, and commitment to excellence elevate every project we support. We don’t simply hire exceptional talent; we cultivate it, creating meaningful career pathways for veterans, military spouses, and professionals who share our passion for advancing technology and strengthening the missions we serve. Position Overview SteerBridge is seeking a Security Architect to define the security architecture and compliance strategy for a mission-critical Defense Aviation platform running in AWS GovCloud for federal customers. This role owns the security blueprint—controls, identity, zero-trust access, monitoring, and authorization strategy—for environments supporting federal aviation operations. The architect will work directly with solutions architects, security and cloud engineers, data teams, and stakeholders to translate DoD security requirements into enforceable, well-architected designs and to guide the platform toward and through authorization (ATO). This role stays close to implementation. The ideal candidate sets security standards, designs control frameworks, reviews architectures, and guides engineers in implementing defense-in-depth and zero-trust access. This is a hybrid position based in Vienna, VA.

SteerBridge is a modern technology company delivering innovative, mission‑focused solutions to the U.S. Government and private sector. Leveraging deep expertise in federal acquisition, digital transformation, and emerging technologies, we deliver agile, commercial‑grade capabilities that accelerate operational effectiveness and drive measurable mission success. At the core of SteerBridge is our people—especially the veterans whose leadership, problem‑solving mindset, and commitment to excellence elevate every project we support. We don’t simply hire exceptional talent; we cultivate it, creating meaningful career pathways for veterans, military spouses, and professionals who share our passion for advancing technology and strengthening the missions we serve. Position Overview SteerBridge is seeking a Data Architect (Mid-Level) to support operations and sustainment efforts for the aviation programs. This role will focus on designing, building, and maintaining scalable data architectures that support aircraft maintenance, logistics, performance analytics, and mission readiness initiatives. The ideal candidate has hands-on experience designing modern data solutions, developing data pipelines, and supporting enterprise analytics environments within cloud-based ecosystems. Responsibilities Design and implement scalable data architectures and data models Develop and optimize ETL/ELT pipelines supporting analytics and reporting initiatives Build and maintain cloud-based data platforms and warehousing solutions Support data integration across multiple structured and unstructured data sources Collaborate with data scientists, engineers, and stakeholders to support machine learning and analytics initiatives Implement data governance, security, and quality standards Monitor and optimize database performance, scalability, and reliability Support modernization efforts and migration of legacy data environments Required Qualifications Eligibility requirements: U.S. citizenship is required for this position under applicable federal contract requirements. Candidates must also be able to obtain and maintain the security clearance required for the role. Bachelor's degree in Computer Science, Systems Engineering, Data Science, or related field Active security clearance or ability to obtain one 6+ years of experience in data engineering, data architecture or software engineer with a focus in backend data Strong experience with: Python SQL Pandas PySpark NumPy Git Experience with data warehousing technologies such as: Databricks Redshift BigQuery Apache Hive Experience developing and automating large-scale data environments Familiarity with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-Learn is a plus Preferred Qualifications Experience designing conceptual, logical, and physical data models Experience with cloud platforms including AWS, Azure, or GCP Knowledge of modern data lake and data warehouse architectures Experience with Apache Kafka, Airflow, Spark, NiFi, or similar technologies Understanding of big data ecosystems and distributed computing frameworks Experience supporting AI/ML workflows and analytics platforms Knowledge of data governance, security, and compliance best practices Experience with CI/CD pipelines and software development best practices Experience supporting defense, aviation, aerospace, or mission-critical programs preferred

SteerBridge is a modern technology company delivering innovative, mission‑focused solutions to the U.S. Government and private sector. Leveraging deep expertise in federal acquisition, digital transformation, and emerging technologies, we deliver agile, commercial‑grade capabilities that accelerate operational effectiveness and drive measurable mission success. At the core of SteerBridge is our people—especially the veterans whose leadership, problem‑solving mindset, and commitment to excellence elevate every project we support. We don’t simply hire exceptional talent; we cultivate it, creating meaningful career pathways for veterans, military spouses, and professionals who share our passion for advancing technology and strengthening the missions we serve. Position Overview SteerBridge is seeking an experienced Security Architect to support our government contracting initiatives. This role is critical in designing and implementing secure, compliant, and scalable architectures supporting regulated systems and high-visibility enterprise platforms. The Security Architect will lead security design, compliance alignment, and risk mitigation efforts across cloud and hybrid environments. This role requires deep expertise in both commercial security standards and federal cybersecurity frameworks, along with the ability to operate in a collaborative, high-trust engineering culture. Key Responsibilities Ensure that security requirements are adequately addressed in all aspects of enterprise architecture, including reference models, segment and solution architectures, and the resulting systems that protect and support organizational mission and business processes. Define secure baselines for secure cloud and hybrid solutions supporting government data systems. Develop, maintain, and own System Security Plans (SSPs) and all supporting compliance artifacts. Lead all phases of the security compliance and architecture process, from system creation through continuous monitoring. Apply, interpret, and assess NIST SP 800-53 controls across system and data environments. Conduct security risk assessments, gap analyses, and vulnerability remediation planning. Collaborate with engineering, infrastructure, and compliance teams to enforce secure-by-design principles. Manage security documentation, policies, procedures, and control evidence. Support security audits, penetration testing coordination, and incident response planning. Serve as a subject matter expert for data protection, encryption, and identity and access management (IAM). Safeguard sensitive information and adhere to all organizational security and privacy policies, ensuring proper handling and confidentiality of data at all times. Required Qualifications Eligibility requirements: U.S. citizenship is required for this position under applicable federal contract requirements. Candidate must also be able to obtain and maintain the security clearance required for the role. Bachelor’s in Information Technology, Cybersecurity, Computer Science, Information Systems, Data Science, or Software Engineering. 10+ years of cybersecurity architecture experience in federal or large enterprise environments. Deep expertise in commercial security and compliance requirements, including GLBA, CCPA, FinCEN reporting, PCI-DSS, GDPR, SOC 2, and ISO frameworks. Deep expertise with federal security requirements, including FISMA, FedRAMP, and NIST SP 800-53. Proven experience documenting and implementing compliance requirements and developing secure architecture in regulated environments. Strong knowledge of system hardening, network security, encryption protocols, and secure SDLC practices. Experience securing cloud platforms such as AWS, Azure, and/or GCP in regulated environments. Preferred Qualifications One or more of the following certifications: CAP, CASP, CISM, CISSP, or GSLC. Masters or PHD in Information Technology, Cybersecurity, Computer Science, Information Systems, Data Science, or Software Engineering. Experience with FinTech-specific security requirements and IT systems. Strong written and verbal communication skills with the ability to produce audit-ready documentation. Experience coordinating with Security Engineers, Developers, and System Administrators.

SteerBridge is a modern technology company delivering innovative, mission‑focused solutions to the U.S. Government and private sector. Leveraging deep expertise in federal acquisition, digital transformation, and emerging technologies, we deliver agile, commercial‑grade capabilities that accelerate operational effectiveness and drive measurable mission success. At the core of SteerBridge is our people—especially the veterans whose leadership, problem‑solving mindset, and commitment to excellence elevate every project we support. We don’t simply hire exceptional talent; we cultivate it, creating meaningful career pathways for veterans, military spouses, and professionals who share our passion for advancing technology and strengthening the missions we serve. Position Overview SteerBridge is seeking a Data Architect (Mid-Level) to support operations and sustainment efforts for the Modern Disability Claims program. This role will focus on designing, building, and maintaining scalable data architectures that support claims intake, adjudication workflows, clinical and claims data integration, and performance analytics for the program. The ideal candidate has hands-on experience designing modern data solutions, developing data pipelines, and supporting enterprise analytics environments within cloud-based ecosystems. Key Responsibilities Design and implement scalable data architectures and data models. Develop and optimize ETL/ELT pipelines supporting analytics and reporting initiatives. Build and maintain cloud-based data platforms and warehousing solutions. Support data integration across multiple structured and unstructured data sources. Collaborate with data scientists, engineers, and stakeholders to support machine learning and analytics initiatives. Implement data governance, security, and quality standards. Monitor and optimize database performance, scalability, and reliability. Support modernization efforts and migration of legacy data environments. Required Qualifications Eligibility requirements: U.S. citizenship is required for this position under applicable federal contract requirements. Candidate must also be able to obtain and maintain the security clearance required for the role. Bachelor's degree in Computer Science, Systems Engineering, Data Science, or related field. Must hold, or be able to obtain, a Public Trust clearance (an active Secret or Top Secret clearance also satisfies this requirement). 3+ years of experience in data architecture with demonstrated ownership of enterprise data warehouse design. Strong experience with Python, SQL, Pandas, PySpark, NumPy, Git. Experience with data warehousing technologies such as Databricks, Redshift, BigQuery, Apache Hive. Experience developing and automating large-scale data environments. Familiarity with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-Learn is a plus. Preferred Qualifications

SteerBridge is a modern technology company delivering innovative, mission‑focused solutions to the U.S. Government and private sector. Leveraging deep expertise in federal acquisition, digital transformation, and emerging technologies, we deliver agile, commercial‑grade capabilities that accelerate operational effectiveness and drive measurable mission success. At the core of SteerBridge is our people—especially the veterans whose leadership, problem‑solving mindset, and commitment to excellence elevate every project we support. We don’t simply hire exceptional talent; we cultivate it, creating meaningful career pathways for veterans, military spouses, and professionals who share our passion for advancing technology and strengthening the missions we serve. Position Overview SteerBridge is seeking a Junior Software Engineer to support the Modern Disability Claims program. This is an entry-level opportunity for someone early in their software engineering career to learn full-stack development practices and contribute to features under the guidance of senior engineers. This individual will support mission-critical claims analytics and operational software. Key Responsibilities Write clean, well-documented code to support full-stack feature development Assist with implementing and testing small, well-defined UI and API features under guidance Support senior engineers in debugging and resolving software defects Learn and apply the team’s coding standards, tools, and development processes Participate in peer code reviews to build familiarity with team practices Assist with writing and maintaining unit tests Document code and contribute to technical documentation as directed Learn the team’s domain, codebase, and Modern Disability Claims systems Required Qualifications Eligibility requirements: U.S. citizenship is required for this position under applicable federal contract requirements. Candidate must also be able to obtain and maintain the security clearance required for the role. Must hold or be able to obtain a Public Trust clearance; an active Secret or Top Secret clearance also satisfies this requirement Bachelor’s degree in Computer Science, Software Engineering, or a related field, or equivalent experience 0–4 years of experience in software engineering or a related field Familiarity with JavaScript, TypeScript, and a modern front-end framework such as React.js Basic understanding of Node.js and RESTful APIs Familiarity with Git and version-control workflows Strong attention to detail and eagerness to learn Ability to work collaboratively and receive feedback and mentorship from senior team members Preferred Qualifications Coursework, internship, or project experience with full-stack development Exposure to MERN or PERN stack technologies, including MongoDB, Express.js, and PostgreSQL Familiarity with CI/CD pipelines or containerization technologies such as Docker Familiarity with healthcare or claims data

SteerBridge is a modern technology company delivering innovative, mission‑focused solutions to the U.S. Government and private sector. Leveraging deep expertise in federal acquisition, digital transformation, and emerging technologies, we deliver agile, commercial‑grade capabilities that accelerate operational effectiveness and drive measurable mission success. At the core of SteerBridge is our people—especially the veterans whose leadership, problem‑solving mindset, and commitment to excellence elevate every project we support. We don’t simply hire exceptional talent; we cultivate it, creating meaningful career pathways for veterans, military spouses, and professionals who share our passion for advancing technology and strengthening the missions we serve. Position Overview SteerBridge is seeking a Mid-Data Scientist to analyze multidimensional aviation, global supply chain, and operational data to develop and maintain predictive models. The ideal candidate has hands-on experience with statistical modeling, machine learning, and time-series analysis and is comfortable working with complex data from multiple sources and formats. Candidates must have hands-on experience with supervised learning, including classification and regression, and unsupervised learning, including clustering and dimensionality reduction. This role requires a quick learner who is curious, innovative, results-oriented, and able to identify meaningful trends and patterns within large, complex datasets. Strong interpersonal skills and the ability to work effectively with partners are also essential. Key Responsibilities Develop, evaluate, and maintain predictive and statistical models. Lead or support end-to-end analytical modeling and data science framing activities. Analyze and integrate large, complex datasets from multiple sources and formats. Apply regression, time-series analysis, and supervised and unsupervised machine learning techniques. Work with partners to identify data fields, sources, and integration requirements. Assess data quality, provenance, and suitability for modeling. Identify and communicate relevant trends and patterns within complex datasets. Document data processes, methodologies, and models. Required Qualifications Eligibility requirements: U.S. citizenship is required for this position under applicable federal contract requirements. Candidates must also be able to obtain and maintain the security clearance required for the role. MSc or PhD degree in applied mathematics, statistics, or a related field, or equivalent relevant work experience. 4+ years of experience applying statistical modeling and analytics, including advanced classification and regression modeling, generalized linear and multilinear regression, logistic and multinomial regression, and time-series analysis. Hands-on experience with supervised learning (classification and regression) and unsupervised learning (clustering and dimensionality reduction), with a strong record of applied data analysis. 4+ years of professional proficiency using R or Python for data wrangling and model development, along with experience using SQL or Spark SQL, database design concepts, and cloud platforms such as AWS, Azure, or Google Cloud. Demonstrated proficiency in statistical analysis, data visualization, data quality assurance, data management, and the development and documentation of analytical models, algorithms, methodologies, and processes. Ability to collaborate with stakeholders, translate requirements into data science solutions, provide technical guidance, and communicate complex analytical concepts clearly to technical and non-technical audiences. Strong organizational and project-management skills, with the ability to manage multiple priorities accurately and on schedule; must be local to the Vienna, VA area and able to work on-site three or more days per week, with hybrid opportunities at the supervisor’s discretion. Preferred Qualifications 3+ years of experience in the aviation or aerospace industry. AWS or Google Cloud Professional or Specialty Certification, or the ability to obtain certification, highly preferred. Experience with supply chain management data systems and technologies, including ERP, Transportation Management Systems (TMS), and Warehouse Management Systems (WMS). Experience supporting DoD and/or VA missions and/or working in a consulting environment. Experience with software development processes and modern AI and machine learning technologies, including Retrieval-Augmented Generation (RAG), embeddings, vector databases, Hugging Face Transformers, BERT, BART, and large language models (LLMs).

SteerBridge is a modern technology company delivering innovative, mission‑focused solutions to the U.S. Government and private sector. Leveraging deep expertise in federal acquisition, digital transformation, and emerging technologies, we deliver agile, commercial‑grade capabilities that accelerate operational effectiveness and drive measurable mission success. At the core of SteerBridge is our people—especially the veterans whose leadership, problem‑solving mindset, and commitment to excellence elevate every project we support. We don’t simply hire exceptional talent; we cultivate it, creating meaningful career pathways for veterans, military spouses, and professionals who share our passion for advancing technology and strengthening the missions we serve. Position Overview SteerBridge is seeking a Data Scientist (Mid-Level) to support the Modern Disability Claims program. This role independently owns analytical projects from problem framing through model deployment, applying statistical modeling and machine learning to claims and healthcare data in support of VA disability claims processing. Key Responsibilities Independently design, build, and validate statistical and machine learning models to support claims and healthcare data analysis Perform exploratory data analysis and feature engineering on claims, clinical, and healthcare datasets Manage assigned analytical projects from problem framing through model deployment with minimal oversight Debug and resolve data pipeline, model, and analysis issues of moderate complexity Begin mentoring junior data scientists on modeling techniques and coding standards Collaborate with data engineers and architects to source, integrate, and validate data for modeling Document model design, assumptions, performance, and validation results Present findings and model results to technical and non-technical stakeholders Contribute to sprint/team planning and provide status updates on assigned work Required Qualifications Eligibility requirements: U.S. citizenship is required for this position under applicable federal contract requirements. Candidate must also be able to obtain and maintain the security clearance required for the role. Must hold, or be able to obtain, a Public Trust clearance (an active Secret or Top Secret clearance also satisfies this requirement) Bachelor's degree in Applied Mathematics, Statistics, Computer Science, Data Science, or related field; Master's degree a plus 3–6 years of experience in data science, statistics, or a related field; 9+ years of relevant experience may be considered in lieu of a degree. Strong proficiency in Python or R for statistical modeling and data wrangling Experience with supervised and unsupervised machine learning techniques (classification, regression, clustering) Experience with SQL and working with large, complex datasets Experience with data visualization and communicating analytical findings Familiarity with cloud platforms (AWS, Azure, or GCP) Strong communication and collaboration skills Preferred Qualifications Experience with Jupyter notebooks, Git, and collaborative coding workflows Experience with healthcare, claims, insurance, or federal programs Familiarity with NLP or deep learning frameworks (TensorFlow, PyTorch, Scikit-learn) Experience mentoring junior team members

SteerBridge is a modern technology company delivering innovative, mission‑focused solutions to the U.S. Government and private sector. Leveraging deep expertise in federal acquisition, digital transformation, and emerging technologies, we deliver agile, commercial‑grade capabilities that accelerate operational effectiveness and drive measurable mission success. At the core of SteerBridge is our people—especially the veterans whose leadership, problem‑solving mindset, and commitment to excellence elevate every project we support. We don’t simply hire exceptional talent; we cultivate it, creating meaningful career pathways for veterans, military spouses, and professionals who share our passion for advancing technology and strengthening the missions we serve. Position Overview: SteerBridge is seeking experienced Security Engineers to ensure the security of infrastructure and systems being leveraged to help customers achieve their mission. The ideal Security Engineer will have well rounded experience in network operations, systems administration, log analysis, blue team defense & incident response, and threat & vulnerability analysis. The Security Engineer will support multiple projects with diverse technology stacks and will have the opportunity to be the frontline defense for missions that make a difference. Key Responsibilities: Plan, implement, and monitor on-premises and virtual network services and systems Configure and maintain systems in compliance with organizational security policies and procedures including: User account management System configuration Backup and recovery Develop and harden secure solutions across cloud and hybrid infrastructures in support of mission essential systems. Review and enforce NIST 800-53 controls and System Security Plans (SSPs) in support of the ATO process. Perform vulnerability identification and remediation processes to reduce exposure to system threats. Collaborate with development, infrastructure, and compliance teams to enforce secure design principles. Contribute to the creation of security documentation, policies, and control evidence. Participate in security audits, penetration testing, and incident response events. Implement and enforce data protection, encryption, and identity/access controls. Employees in this role are responsible for safeguarding sensitive information and must adhere to all organizational security and privacy policies, ensuring the protection, proper handling, and confidentiality of data at all times. Required Qualifications: Eligibility requirements: U.S. citizenship is required for this position under applicable federal contract requirements. Candidate must also be able to obtain and maintain the security clearance required for the role. Bachelor’s or Master’s degree in Cybersecurity, Information Systems, or a related field. An active Secret security clearance or the ability to obtain one is required. 5+ years of cybersecurity engineering experience in federal, military, or large enterprise environments. Familiarity with one or more of the following frameworks: NIST SP 800, CNSSI, SOC Experience with system hardening network security, encryption protocols, vulnerability scanning, and incident response. Experience working with cloud platforms (AWS, Azure, GCP) in secure environments. Experience with the following methodologies and tools: SIEM, XDR, SAST/DAST, STIG, SCAP Experience implementing and managing identity and access management controls, including role-based, attribute-based, and federated access models, ensuring least-privilege enforcement and secure authorization across architectures and access governance practices. Experience with log aggregation and correlation Preferred Qualifications: CCNA-Security, Security+ CE, or CISSP Familiarity with Federal Executive and Military security requirements and IT systems. Strong written and verbal communication skills with the ability to produce audit-ready documentation (such as Incident Reports and Test Reports). Proficiency with Microsoft Sentinel, Splunk, Tenable/Nessus, CrowdStrike, Microsoft Defender Endpoint Proficiency with securing AI-based tools Experience coordinating with ISSOs, ISSEs, and federal security teams.