Jobs at SteerBridge

Analyze large relational datasets, optimize SQL queries, troubleshoot data discrepancies, validate data integrity, support ETL pipelines, automate workflows with scripts and orchestration tools, and develop recurring reports and dashboards for leadership and operational decision-making.

Build and operate secure AWS GovCloud infrastructure for a mission-critical federal disability claims platform. Responsibilities include infrastructure as code with Terraform and Terragrunt, containerized workloads on ECS and Fargate, CI/CD pipelines, monitoring, incident response, networking and IAM troubleshooting, security remediation, ATO support, documentation, and reliability, performance, and cost improvements.

Manage full-cycle recruiting for technical and specialized roles, including sourcing, screening, interview coordination, offer negotiation, and onboarding handoff. Partner with hiring managers to define requirements and priorities, build talent pipelines, advise on market conditions and compensation, maintain ATS records, and track recruiting metrics. The role focuses on hiring technical talent across software engineering, cloud, cybersecurity, data, DevOps, IT, and technical leadership.

Manage full-cycle recruiting for construction technical, professional, and leadership roles. Source active and passive candidates, partner with hiring managers, align hiring plans with project timelines, screen candidates, coordinate interviews, negotiate offers, build talent pipelines, track recruiting metrics, and support a positive candidate experience. Requires strong knowledge of construction roles, project delivery methods, industry talent markets, and construction compensation practices.

Develops and optimizes NLP and machine learning pipelines for medical and claims data supporting VA disability claims adjudication. Responsibilities include extracting and analyzing healthcare data, tuning transformer-based models, validating performance, documenting workflows, collaborating with VA stakeholders, and supporting model integration into government systems. The role requires Python, NLP, SQL, healthcare data knowledge, and experience delivering data science projects in regulated environments.

Develops NLP and machine learning solutions for VA disability claims adjudication. Responsibilities include extracting medical and claims data, building NLP pipelines, tuning transformer models, testing accuracy, documenting workflows, collaborating with VA stakeholders, and integrating models into VA systems. The role requires Python, healthcare and claims data experience, cloud NLP tools, SQL, and familiarity with clinical terminology and coding.

Winter 2026 onsite technology internship for students pursuing relevant bachelor’s degrees. Interns gain hands-on experience supporting government-focused technology projects across data engineering, analytics, software, cloud, cybersecurity, and UX/UI design, with mentorship and professional development opportunities.

Design high-fidelity product interfaces and interactive prototypes in Figma for claims, evidence review, medical evaluation, and administrative workflows. Maintain and extend the design system, document developer handoffs, conduct design QA, and apply accessibility standards. Collaborate with researchers, engineers, product stakeholders, and subject-matter experts to translate complex workflows into clear, trustworthy experiences while managing concurrent sprint-based design tasks.

Provide frontline production support for Oracle, Sybase ASE, and AWS data systems in DoD and GovCloud environments. Monitor databases and pipelines, investigate alerts and tickets, resolve routine incidents, perform backups, patching, access provisioning, and health checks, and escalate complex issues. Troubleshoot applications, authentication, login, and basic NGINX issues while maintaining runbooks and incident documentation. The role requires rotating 24/7 support, including nights, weekends, and holidays.

Administer production Oracle and Sybase ASE databases and AWS data services supporting DoD aviation maintenance systems. Responsibilities include database installation, patching, replication, performance tuning, backup and recovery, incident response, cloud modernization, security compliance, and troubleshooting authentication and application issues. Lead three mid-level DBAs supporting 24/7 operations, coordinate coverage, resolve escalations, improve runbooks, document systems, and mentor staff.

Own security infrastructure and automation for a mission-critical VA claims platform in AWS GovCloud. Build and maintain AWS and SaaS log pipelines into Microsoft Sentinel, GitLab CI/CD and Terraform infrastructure-as-code pipelines, security scanning gates, container release processes, and multi-account security baselines. Support zero-trust access, network inspection, compliance documentation, patching, and security tooling. Collaborate with security, cloud, architecture, development, and program teams to troubleshoot integrations and automate controls.

Lead day-to-day operation of the Compliance Management System, oversee transaction and BSA/AML monitoring, complaint and issue management, regulatory change implementation, third-party oversight, issuing bank liaison, compliance reporting, and training. Partner with legal, security, and product teams to embed compliance across the business and support examinations, audits, and remediation activities.

Develops NLP and machine learning solutions for VA disability claims, extracting and structuring medical and claims data. Builds and maintains NLP pipelines, tunes transformer models, validates accuracy, documents workflows, collaborates with VA stakeholders, and integrates models into government systems. Requires healthcare or claims data experience, cloud familiarity, and the ability to communicate technical concepts effectively.

Owns backend software engineering for a data platform supporting federal disability claims. Designs APIs, internal tools, shared Python libraries, and services; establishes architecture, testing, packaging, documentation, and code-quality standards. Partners with data engineers, leads reviews, resolves complex defects, mentors engineers, and supports planning. Requires substantial Python, pytest, API, software design, and mentoring experience, along with U.S. citizenship and Public Trust eligibility.

Supports data pipeline development and maintenance for a VA disability claims program. Responsibilities include preparing and cleansing healthcare data, troubleshooting ETL/ELT pipelines, performing data quality checks, documenting workflows, participating in code reviews, and learning claims data systems under senior engineer mentorship.

Designs, develops, and optimizes scalable data models, cloud-native platforms, and batch and real-time pipelines for an AI/ML disability claims program. Responsibilities include data quality, governance, security, database optimization, ETL automation, observability, ML pipeline enablement, and cloud migration. The role mentors engineers, leads cross-functional initiatives, documents architecture, and ensures reliable, high-performance data systems supporting analytics and machine learning.

Owns software QA strategy across products and platforms, including test frameworks, automation tools, performance testing, reporting, and analytics. Validates implementations against design documentation, product requirements, and security standards. Develops testing extensions, shared libraries, internal tooling, and performance test rigs while mentoring engineers. Represents QA in technical discussions, release readiness, and cross-functional communications, fostering a collaborative customer-service culture.

Conduct UX research for a defense aviation platform supporting fleet readiness, maintenance planning, logistics, and operational decisions. Perform interviews, usability testing, and synthesis; translate complex workflows into user insights, interface concepts, and workflow models. Collaborate with designers, engineers, data scientists, and domain experts, and present findings to technical and non-technical stakeholders. Experience with government or enterprise systems is required; aviation, defense, analytics, and prototyping experience is preferred.

Analyze large relational datasets, develop optimized SQL, validate data quality, troubleshoot discrepancies, maintain ETL pipelines, automate workflows with scripts and scheduling tools, and produce recurring reports and dashboards that support leadership decision-making in a controlled data environment.

Designs, develops, and maintains backend services and data pipelines for a scalable data platform. Writes production Python and SQL, architects storage and processing solutions, leads technical decisions and cross-functional initiatives, troubleshoots production issues, reviews code, mentors engineers, and collaborates with data science, product, and engineering stakeholders.