The Full Stack Engineer will build, enhance, and support cloud-based applications and data solutions across front-end, back-end, and database layers. They will collaborate with cross-functional teams to develop RESTful APIs, manage ETL pipelines, and ensure reliable deployments within an AWS environment.
The Technical Lead will provide solution architecture guidance and technical direction for software delivery teams supporting federal health programs. This role involves mentoring developers, ensuring secure and scalable application delivery, and aligning technical execution with client requirements.
The CBT Training Specialist will design, develop, and maintain computer-based training and eLearning materials for federal healthcare programs. They will collaborate with subject matter experts and stakeholders to create engaging, accessible, and Section 508-compliant training content.
The Senior Technical Business Analyst will own the requirements lifecycle from intake through implementation, collaborating with stakeholders to translate business needs into technical specifications. They will also lead product backlog management, facilitate release planning, and support testing and production activities.
The Program Analyst serves as the primary point of contact for organizations during the Data Request and Attestation process and provides ongoing program administration. They are responsible for facilitating technical assistance meetings, validating documentation, and generating validation findings for state and territory Medicaid agencies.
The Data Engineer will design, build, and optimize scalable cloud-based data pipelines and infrastructure to support government analytics. They will collaborate with cross-functional teams to modernize legacy data systems and ensure high-quality data delivery for mission-critical projects.
The role involves designing and deploying machine learning models, NLP solutions, and RAG systems on AWS to support healthcare data analytics. You will also build scalable knowledge graphs and collaborate with cross-functional teams to provide data-driven insights for federal healthcare objectives.
The Medicaid Data SME will perform complex business analysis on healthcare datasets to provide actionable insights and support program oversight. They will collaborate with multidisciplinary teams to develop innovative solutions and technical documentation that enhance Medicaid and CHIP program outcomes.
The Program Control Analyst supports the financial and operational success of projects by managing forecasting, cost tracking, and performance reporting. They partner with project managers to ensure financial integrity and compliance while providing actionable insights for strategic decision-making.
The Senior Database Administrator will design, build, and optimize scalable data solutions and pipelines using AWS and Snowflake. They will collaborate with cross-functional teams to modernize the data ecosystem while implementing robust data quality and monitoring frameworks.
The Data Analyst will support data analysis, reporting, and analytics solution delivery within a federal healthcare environment. They will collaborate with stakeholders to identify requirements, collect and interpret data, and translate findings into actionable business recommendations.
The Team Lead will manage analytics product lifecycles and lead complex technical initiatives using Lean-Agile principles to deliver customer-centered solutions. They are responsible for mentoring junior staff, conducting advanced data analysis, and serving as a technical advisor to management and clients.
The Senior Data Scientist will lead the development of advanced analytical solutions, including NLP and LLM/RAG frameworks, to address complex healthcare policy challenges. They will collaborate with stakeholders to design data-driven products that improve program oversight and health outcomes for Medicaid and CHIP programs.
Design and optimize enterprise-scale data solutions and reusable workflows within Snowflake and Azure environments. Build scalable ETL pipelines and implement data governance and compliance policies to ensure data quality.
