Jobs at SteerBridge

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.

Build and optimize batch and real-time ETL/ELT pipelines, data lakes, and cloud-based processing systems. Perform data ingestion, transformation, profiling, validation, governance, quality checks, and API integration across AWS and Azure environments. Write Python, JavaScript, and SQL; maintain technical documentation; support reporting and machine learning; mentor junior engineers; and ensure secure, reliable, compliant data operations.

Develops, evaluates, and maintains predictive and statistical models using regression, time-series analysis, and supervised and unsupervised machine learning. Integrates complex aviation, supply chain, and operational datasets; assesses data quality; identifies trends; and documents analytical processes and models. The role collaborates with stakeholders to translate requirements into data science solutions and supports repeatable data, model, and quality-management practices.

Supports full-stack development for a Modern Disability Claims program by writing and testing UI and API features, debugging defects, maintaining unit tests, participating in code reviews, and documenting software. Works under senior-engineer guidance while learning coding standards, development tools, processes, and the claims systems domain.

Develop and maintain full-stack TypeScript applications for a federal disability claims modernization program. Support production AI/ML and analytics capabilities, collaborate with engineering, data science, and mission stakeholders, conduct code reviews and quality assurance, contribute to CI/CD automation, troubleshoot defects, and deliver scalable software in an Agile environment.

Provides executive leadership for Medical Disability Claims operations and technology programs supporting the U.S. Department of Veterans Affairs. Oversees delivery, budgets, staffing, risks, quality, performance metrics, stakeholder relationships, modernization, systems integration, automation, data initiatives, governance, and organizational change. Leads multidisciplinary teams and coordinates government, technical, operational, subcontractor, and vendor partners while aligning technology roadmaps with mission and contractual objectives.

Designs high-fidelity, production-ready product experiences for an aviation readiness and sustainment platform. Responsibilities include creating complex data-rich workflows in Figma, maintaining design-system components and tokens, documenting specifications, performing design QA, and translating research, operational workflows, and technical requirements into usable interfaces. The designer collaborates with engineers, researchers, data teams, stakeholders, and aviation experts while managing concurrent Jira tasks and growing toward greater ownership of workflows and features.

Analyze data from multiple sources to identify trends, anomalies, and process-improvement opportunities. Develop dashboards, reports, SQL queries, and data visualizations; perform data validation, cleansing, reconciliation, and quality assurance. Partner with cross-functional stakeholders to translate business requirements into analytical solutions, support forecasting and capacity planning, automate recurring reporting, document processes, and present actionable findings to technical and non-technical audiences.

Lead daily IT operations across enterprise and regulated environments, overseeing cloud infrastructure, endpoint management, identity and access, patching, incident response, asset lifecycle, vendors, and user support. Ensure compliance with CMMC Level 2 and NIST SP 800-171, maintain audit evidence, coordinate with security and compliance teams, monitor operational KPIs, and supervise and develop IT operations and help desk staff.

Lead and manage the Credit Card Quality Assurance team to ensure service quality, regulatory compliance, and operational accuracy. Design QA processes and scorecards, run audits of interactions and transactions, analyze quality metrics, drive continuous improvement, support UAT, and partner with Operations, Compliance, Fraud, and Customer Support to mitigate risk and enhance customer experience.

Lead end-to-end federal proposal development: analyze solicitations, create schedules and compliance matrices, manage SMEs and teams, write/edit proposal content, run color reviews, ensure FAR compliance, and drive proposal strategy to increase win probability.

Source and engage candidates for IT, technical, and construction/facilities roles using LinkedIn Recruiter and job boards; build pipelines; screen resumes; track activity in the ATS; coordinate interviews; report sourcing metrics; partner with recruiters and support additional talent acquisition projects.

Design, implement, and monitor secure on‑prem and cloud/hybrid systems; enforce NIST 800‑53 controls and SSPs for ATO; perform vulnerability scanning/remediation, log aggregation and SIEM correlation, incident response, IAM enforcement, and produce audit-ready security documentation.

Design, build, validate, and deploy statistical and ML models on claims and healthcare data; perform EDA and feature engineering; manage projects with minimal oversight; debug pipelines; collaborate with engineers; document and present results; mentor junior data scientists.

Develop, test, and maintain full-stack TypeScript applications; productionize AI/ML capabilities; build CI/CD pipelines; collaborate with data science and stakeholders; troubleshoot defects; ensure scalable, reliable software in Agile environments.

Lead end-to-end data science for aviation supply chain and operational data: integrate disparate sources, perform quality assessments, build predictive and statistical models (classification, regression, time series), document algorithms, and communicate results to stakeholders.

Senior advisor supporting Headquarters Marine Corps with strategic planning, operational analysis, process improvement, executive communications, and decision‑support. Develops executive briefings, recommendations, and coordinates across stakeholders to advance Force Design, logistics, readiness, and policy initiatives. Supports senior-leader engagements and classified TS/SCI discussions.

Lead contract execution for a federal engagement supporting Headquarters Marine Corps. Serve as prime point of contact, manage budgets, staffing, schedules, deliverables, quality, risk, subcontractors, compliance, reporting, and program performance through program planning, execution, monitoring, and closeout.

Lead analyst at the Pentagon overseeing a distributed analytics team to standardize, extract, validate, and analyze DoD logistics data. Build automation, predictive models, visualizations, and reports using Python/R/SQL and ML frameworks. Use high-resolution simulation tools and DoD logistics systems to support operational decision-making and mission readiness.