• Guidehouse is seeking an UiPath Developer to support the Defense Health Agency (DHA) by designing and maintaining UiPath and other RPA automations to improve efficiency and data quality across revenue cycle workflows. • This role focuses on Revenue Cycle Modernization and Innovation (RCMI) process improvement and data analytics. • The ideal candidate combines advanced technical skills (UiPath, Power Automate) and experience in healthcare revenue cycle management (RCM). • Develop unattended/attended UiPath automations with Orchestrator scheduling, credential management, and robust exception handling. • Produce professions PDDs, SDDs, test plans, and operational run-books; support change control and versioning. • Collaborate with revenue cycle SMEs to prioritize use cases and quantify benefits (throughput, cycle time, error rate). • Integrate automations with reporting/analytics (Power BI, Tableau) for operational monitoring and value tracking. • Sustain bots in production with monitoring, alerting, and continuous improvement. • Recommend and support implementation of standardized best practices. • Monitor and support the development of KPIs across Revenue Cycle Initiatives. • Serve as a liaison between Guidehouse, DHA, and MTF operational stakeholders. • Investigate and help resolve user-reported issues related to RPA projects across teams.

• Respond to and debug CIR Docusign template issues, escalate to engineering if necessary. • Handle weekly Docusign batch onboardings. • Automate onboarding with a batch job. • Debug/reverse-engineer Docusign behavior. • Create documentation and guidelines for template coding. • Manage ESign features flags and/or create tools to allow for self-service enablement by CSMs. • Port PHP Docusign code to Python, and migrate to Docman. • Improve security by customizing admin profiles and policies in Docusign. • Design and implement customizable Docusign sub-account settings. • File and follow-up with Docusign Partner Portal Issues.

• We are looking for an Analytics Reporting Engineer to join our data team. • Reporting to the Hiring Manager, you will be responsible for applying best practices in data modeling, data transformation, data testing for serving quality data to customer reporting interfaces. • You will be responsible for building and maintaining composable data models, optimizing SQL query performance and maintaining python APIs for serving data to customers. • You will transform raw data into business insights, working closely with stakeholders to serve data to critical customer reporting interfaces. • Build new models and optimize existing ones using SQL and Python. • Apply software engineering principles like version control and continuous integration to the analytics codebase. • Expand our data warehouse with clean data ready for analysis. • Apply advanced data testing strategies to ensure resulting datastores are aligned with expected business logic. • Implement validation checks and automated testing procedures to manage data quality in data transformation and API layers. • Work with stakeholders to define business logic and data expectations. • Help drive a change in the usage of data by actively surfacing insights to stakeholders. • Lead initiatives and problem definition, scoping, design, and planning. • Build tools and automation to run data infrastructure. • Manage large-scale data migrations in relational datastores.

• Design, develop, and maintain scalable backend services using Python and/or Node.js • Build and consume RESTful APIs with a focus on performance, reliability, and security • Develop and integrate microservices-based architectures using Spring Boot where applicable • Containerize applications using Docker and manage deployments using Kubernetes • Design, optimize, and manage data storage solutions using SQL, NoSQL, and Vector Databases • Implement secure coding practices, authentication, authorization, and data protection standards • Collaborate with DevOps teams to implement CI/CD pipelines and cloud deployments on Microsoft Azure • Monitor, troubleshoot, and optimize backend systems for scalability and high availability • Participate in code reviews, architecture discussions, and technical decision-making • Mentor junior developers and contribute to engineering best practices