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Power Platform Developer

Job in Fairfax, Fairfax County, Virginia, 22032, USA
Listing for: Prometheus Federal Services (PFS)
Full Time position
Listed on 2026-07-01
Job specializations:
  • Software Development
    Data Engineering
Salary/Wage Range or Industry Benchmark: 90000 - 120000 USD Yearly USD 90000.00 120000.00 YEAR
Job Description & How to Apply Below

Position Summary

Prometheus Federal Services (PFS) is a trusted partner of federal health agencies. We are seeking an experienced, hands‑on Power Platform 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 deploycanvasand model-driven Power Appsthat operationalize VA/VHA data and replace manual, spreadsheet, or email-driven processes
  • Architect Dataverseas 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 CDWusing 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 reusablecomponents, component libraries, and PCF controls to standardize UX and accelerate delivery across apps
  • ApplyALM and Power Platform governance— solutions, managed/unmanaged layering, environment strategy, deployment pipelines, and source control (Git / Azure Dev Ops) — 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 maintaincloud flowsto automate data movement, approvals, notifications, and process hand‑offs across Dataverse, SharePoint, Outlook/Teams, SQL, and VA systems
  • Developscheduled, automated (event-triggered), and instant flows, using connectors, expressions, environment variables, and robust error handling, retries, and logging
  • Implementdesktop 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 modelsagainst the CDW and other VA data sources
  • Author robustdata models with star-schema design, relationships, and well-documentedDAXmeasures, calculated columns, and Power Query (M) transformations
  • Configurerow-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 applydeployment 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 buildingestion 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 SSISpipelines, including logic for staging, cleansing, conforming, and loading
  • Designdimensional 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
  • Builddata validation, reconciliation, and quality checksinto pipelines, and…
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