Power BI Developer

About this role

Position Summary
Prometheus Federal Services (PFS) is a trusted partner of federal health agencies. We are seeking an experienced, hands-on Power BI Developer with strong data engineering expertise. This role will design and build Power Apps applications, Power Automate workflows, and Power BI solutions using governed Department of Veterans Affairs (VA) and Veterans Health Administration (VHA) data assets, including the Corporate Data Warehouse (CDW). The role will also develop the data pipelines and models that support these solutions. The incumbent will own solutions end-to-end, including data modeling, ingestion and transformation logic, application and report development, and ALM governance, to ensure deliverables are maintainable, performant, and compliant.

Essential Duties and Responsibilities
Power Apps Development

• Design, build, and deploy canvas and model-driven Power Apps that operationalize VA/VHA data and replace manual, spreadsheet, or email-driven processes.

• Architect Dataverse as the application data backbone — designing tables, columns, relationships, keys, business rules, calculated/rollup columns, and security roles.

• Connect apps to Dataverse, SharePoint, SQL Server/Azure SQL, and the CDW using standard, premium, and (where required) custom connectors, and to external data through virtual tables and dataflows.

• Build responsive, accessible (Section 508/WCAG) screens, forms, and views, and implement application logic using Power Fx.

• Develop reusable components, component libraries, and PCF controls to standardize UX and accelerate delivery across apps.

• Apply ALM and Power Platform governance — solutions, managed/unmanaged layering, environment strategy, deployment pipelines, and source control (Git / Azure DevOps) — through the Power Platform admin center.

• Optimize app performance (delegation, data-source efficiency, concurrent loading) and harden apps with appropriate security and data loss prevention (DLP) policies.

Power Automate Development

• Build and maintain cloud flows to automate data movement, approvals, notifications, and process hand-offs across Dataverse, SharePoint, Outlook/Teams, SQL, and VA systems.

• Develop scheduled, automated (event-triggered), and instant flows, using connectors, expressions, environment variables, and robust error handling, retries, and logging.

• Implement desktop flows / RPA (Power Automate Desktop) to automate interactions with legacy or non-API systems where appropriate.

• Orchestrate ingestion and transformation steps within larger data pipelines, coordinating with Dataverse, dataflows, and downstream reporting.

• Design flows for reliability and observability — including monitoring, alerting, and graceful failure handling and document trigger conditions and dependencies.

Power BI Development

• Design, build, and maintain Power BI reports, dashboards, and semantic models against the CDW and other VA data sources.

• Author robust data models with star-schema design, relationships, and well-documented DAX measures, calculated columns, and Power Query (M) transformations.

• Configure row-level security (RLS), gateways, refresh schedules, incremental refresh/partitioning, and workspace/app deployment.

• Tune model and report performance (query folding, aggregations, model size, DAX optimization) and apply deployment pipelines for promotion across dev/test/prod.

• Build certified, reusable datasets and shared semantic models that serve multiple downstream reports and apps.

Data Engineering & Pipeline Development

• Design and build ingestion and transformation pipelines (ETL/ELT) that move data from VA source systems and the CDW into Dataverse, Azure SQL, and Power BI semantic models.

• Develop and maintain Power Platform dataflows, Azure Data Factory, and/or SSIS pipelines, including logic for staging, cleansing, conforming, and loading.

• Design dimensional and normalized data models (fact/dimension structures, surrogate keys, slowly changing dimensions) to support analytics and applications.

• Implement performant data connectivity — gateways, virtual tables, dataflows, and direct SQL — with attention to refresh windows, volume, and security constraints.

• Build data validation, reconciliation, and quality checks into pipelines, and instrument monitoring/alerting for pipeline health.

• Apply CI/CD and source control to data assets, and partner with data engineering teams on shared pipeline patterns and reusable transformation logic.

VA/VHA Data Sources, Systems & the Corporate Data Warehouse (CDW)

• Work directly with VA/VHA clinical, operational, financial, and administrative data sources and the CDW, including its domains and fact/dimension structures.

• Understand and work within CDW access methods, refresh schedules, security considerations, and system constraints, and how source systems feed the CDW and downstream layers.

• Collaborate with technical teams to understand and leverage data flows across development, test, and production environments.

• Enable analysts and engineers to use VA data assets effectively (CDW tables, views, and approved reporting layers) through working solutions and concise reference material.

Business Process Engineering & Stakeholder Engagement

• Partner with VA/VHA stakeholders to elicit data, process, and application requirements and clarify business and technical needs.

• Map current-state (as-is) and future-state (to-be) processes, identifying manual hand-offs and opportunities to automate or improve with Power Platform solutions.

• Translate business questions and operational needs into data models, app/flow designs, and report requirements.

• Facilitate working sessions, demos, and reviews to validate solution and process accuracy with subject matter experts.

• Communicate technical concepts clearly to both technical and non-technical audiences.

Technical Documentation, Metadata & Governance (Supporting)

• Document the logic behind…