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Analytics
Develop and deploy Salesforce applications across the full lifecycle, including design, coding, testing, troubleshooting, integrations, and solution delivery. Collaborate with business analysts, architects, stakeholders, and developers to implement Salesforce Sales, Service, and Experience Cloud solutions. Support proof-of-concept efforts, configure security and authentication, document solutions, and help deliver reliable systems for federal government clients.
Analytics
Owns full-cycle recruiting for administrative, technical, corporate, and program support roles. Responsibilities include intake meetings, sourcing, candidate assessment, interview coordination, hiring manager advising, offer recommendations, pipeline reporting, compliance, and post-offer coordination. The recruiter will manage multiple requisitions, improve recruiting technology and automation, and support remote hiring across geographically dispersed teams.
Analytics
The Product Owner defines product requirements, manages roadmaps and backlogs, prioritizes epics, features, stories, and bugs, and translates business needs into user stories. The role collaborates with customers, stakeholders, product leadership, scrum masters, engineering, and analytics teams to deliver value through Lean-Agile and SAFe practices. Responsibilities include facilitating planning and refinement ceremonies, accepting user stories, demonstrating functionality, resolving roadblocks, and supporting delivery commitments.
Analytics
Conducts advanced research and statistical analysis of Medicaid and CHIP data to identify trends, build predictive models, improve operations, and inform health policy. Develops analytic products, dashboards, reports, visualizations, and technical deliverables while integrating qualitative research and UX practices. Collaborates with analysts, data scientists, clients, and technical teams in an agile environment, independently leading research projects and translating complex findings for diverse stakeholders.
Analytics
Build, enhance, and support cloud-based full-stack applications across frontend, backend, and database layers. Develop Angular or React applications, RESTful APIs, AWS serverless solutions, and data-storage integrations. Manage infrastructure as code, CI/CD deployments, testing, production support, monitoring, troubleshooting, and documentation. Collaborate with cloud, DevSecOps, product, design, and application teams in an Agile environment while applying AWS Well-Architected principles and AI coding tools.
Analytics
Performs business analysis and software testing for federal government client programs. Responsibilities include analyzing requirements, defining acceptance criteria, creating and executing test plans, functional, regression, and user acceptance testing, maintaining traceability matrices, reporting findings, improving processes, and developing technical documentation and training materials in an agile environment.
Analytics
Lead technical execution and solution architecture for cloud-based federal health software programs. Guide developers, translate requirements into implementation direction, manage technical risks, document architecture decisions, and ensure secure, scalable, maintainable solutions across application, API, and data layers. Partner with QA and DevSecOps teams on testing, CI/CD, infrastructure-as-code, security, and releases. Provide mentoring, technical reviews, hands-on engineering support, and occasional proposal or innovation assistance.
Analytics
Designs, develops, tests, deploys, and supports secure, scalable full-stack applications for federal healthcare programs. Responsibilities span front-end, back-end, APIs, databases, AWS cloud services, CI/CD pipelines, infrastructure as code, monitoring, troubleshooting, vulnerability remediation, and production support. The role collaborates with product, architecture, infrastructure, analytics, and platform teams while meeting CMS security, privacy, and DevSecOps requirements.
Analytics
Designs, develops, delivers, tests, maintains, and improves computer-based training and eLearning for federal healthcare programs. Creates Storyline 360 modules, simulations, scripts, assessments, accessibility-compliant materials, presentations, and training documentation. Collaborates with SMEs, stakeholders, product teams, and end users to translate complex technical information into learner-centered content. Manages LMS course delivery and tracking, conducts peer reviews, facilitates feedback sessions, and evaluates training effectiveness.
Analytics
Design, build, and optimize scalable AWS and Snowflake data pipelines, databases, data models, and cloud-based solutions. Implement ETL/ELT workflows, data quality and monitoring frameworks, CI/CD pipelines, automated recovery, documentation, and performance improvements. Collaborate with stakeholders and cross-functional teams in an Agile environment while conducting advanced analysis using Python and SQL.
Analytics
Develop and productionize machine learning, deep learning, NLP, RAG, LLM, and knowledge graph solutions for federal healthcare clients. Build AWS-based ML pipelines, perform statistical modeling and data analysis, create visualizations, evaluate models, and communicate insights. Collaborate with cross-functional Agile teams to deliver AI strategies aligned with CMS and healthcare policy objectives.
Analytics
Designs, builds, and optimizes scalable AWS and Snowflake data pipelines, infrastructure, data models, semantic layers, and data quality frameworks. Analyzes Medicare, Medicaid, and CMS repository data to support analytics and reporting. Responsibilities include workflow monitoring, automation, governance, security, performance optimization, stakeholder collaboration, and Agile delivery using modern DevOps and software engineering practices.
Analytics
Build and optimize enterprise-scale Snowflake data solutions, including ingestion, ETL pipelines, transformation, quality assurance, production deployment, legacy warehouse migration, and workflow automation. Establish data governance, compliance policies, and data quality rules while supporting cloud-based architectures and efficient data consumption.



