Avatar for Prometheus Federal Services
Supports US federal healthcare transformation and improvement initiatives

Power Platform Developer

Posted: 2 months ago
Job Location
Remote Work Policy

In office

Visa Sponsorship

Not Available

RelocationAllowed
Skills
SQL
Git
Relational Databases
Application Design
ETL
Business Process Engineering
Data Validation
source control
Stakeholder engagement
Technical documentation
Structured Data
Process Mapping
Data Governance
Agile Delivery
Screen Design
Form Design
Security Policies
best practices
Section 508 Compliance
Elt
DAX
Metadata Management
efficiency improvement
Deployment Pipelines
Requirements Elicitation
Data Reconciliation
Power BI
data lineage
logging
RPA
Gateways
Flow Design
Templates
CI/CD
Report Design
Connectors
M Language
Azure DevOps
Component Libraries
Power Automate
Financial Data
Audit Readiness
Power Query
Managed Solutions
Power Apps
Azure SQL
Clinical Data
Power Automate Desktop
Dataverse
Power Fx
Power Bi Reports
Power BI Dashboards
WCAG Compliance
Reusable Components
Error Handling
Dataflows
App Deployment
Calculated Columns
Hybrid Delivery
Slowly Changing Dimensions
Data Dictionaries
Partitioning
Ingestion Pipelines
Naming Conventions
Data Pipeline Orchestration
Flow Monitoring
Power BI Semantic Models
Data Quality Checks
Semi-Structured Data
Dimensional Data Models
Retries
Surrogate Keys
Data Connectivity
Source-to-Target Mappings
Iterative Delivery
Normalized Data Models
Aggregations
Power Platform Admin Center
Certified Datasets
Operational Data
Solution Validation
Pipeline Alerting
Environment Variables
Transformation Pipelines
Expressions
SQL Automation
Row-Level Security (RLS)
Virtual Tables
Environment Strategy
Power Platform Governance
Cloud Flows
Dataverse Modeling
Reusable Patterns
Desktop Flows
Data Loss Prevention (DLP) Policies
DAX Optimization
Documentation Repositories
Report Performance Tuning
Pipeline Monitoring
Incremental Refresh
Star-Schema Design
Model Performance Tuning
Business Rules Validation
Notification Automation
Refresh Schedules
Data Modeling for Analytics
Non-Technical Audience Communication
Definitions
Scheduled Flows
Process Improvement Identification
As-Is Process Mapping
To-Be Process Mapping
Technical Concept Communication
Cleansing Logic
Unmanaged Solutions
Fact/dimension Structures
App Performance Optimization
Dataverse Connectors
Working Sessions Facilitation
Data Quality Expectations
Teams Automation
Dependencies Documentation
Instant Flows
Administrative Data
Graceful Failure Handling
SharePoint Connectors
SQL Server Connectors
Azure SQL Connectors
Responsive Screen Design
Accessible Screen Design
ALM Governance
Solutions Governance
Delegation Optimization
Data-Source Efficiency
Concurrent Loading Optimization
Data Movement Automation
Approval Automation
Process Hand-off Automation
SharePoint Automation
Outlook Automation
VA Systems Automation
Event-Triggered Flows
Legacy Systems Automation
Non-API Systems Automation
Data Transformation Orchestration
Flow Reliability
Flow Observability
Flow Alerting
Trigger Conditions Documentation
Corporate Data Warehouse (CDW)
Workspace Deployment
Query Folding
Model Size Optimization
Shared Semantic Models
Staging Logic
Conforming Logic
Loading Logic
Direct SQL Connectivity
Refresh Windows
Data Volume Considerations
Data Security Constraints
Source Control for Data Assets
Reusable Transformation Logic
VA/VHA Data Sources
VHA Data Sources
CDW Domains
CDW Fact Structures
CDW Dimension Structures
CDW Access Methods
CDW Security Considerations
CDW System Constraints
Source System Data Flows
Data Flow Collaboration
VA Data Assets
CDW Tables
CDW Views
Approved Reporting Layers
Automation Opportunities Identification
Demos Facilitation
Reviews Facilitation
Process Accuracy Validation
Data Ownership Documentation
Data Stewardship Documentation
Usage Constraints Documentation
VA Standards Adherence
Federal Standards Adherence
Program Standards Adherence
Version-Controlled Documentation
Solution Artifacts Version Control
Delivery Tooling Improvement
Governance Improvement

About the job

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 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 delivered solutions — Power BI models and DAX, Power Apps data connections and Power Fx logic, Power Automate flows, and pipeline transformations — for reuse, governance, and audit readiness.
  • Maintain data dictionaries, source-to-target mappings, and data lineage for the datasets and models you build, with consistent naming conventions and definitions.
  • Validate that engineered datasets, app data connections, and flows align with documented business rules, security requirements, and data quality expectations.
  • Support data governance and compliance by documenting data ownership, stewardship, usage constraints, and adherence to VA, federal, and program standards.
  • Maintain version-controlled documentation repositories alongside source-controlled solution artifacts.

Methodology, Standards & Continuous Improvement

  • Contribute reusable app, flow, model, and pipeline patterns, plus templates and best practices.
  • Identify opportunities to improve delivery tooling, efficiency, and governance.
  • Support Agile or hybrid delivery, producing solutions and documentation aligned with sprint-based, iterative delivery.

Minimum Qualifications

  • Bachelor's degree in Computer Science, Information Systems, Data Analytics, Healthcare Informatics, or a related field.
  • 4–6 years building solutions with the Microsoft Power Platform, with hands-on, production experience across Power Apps (canvas and/or model-driven), Power Automate, and Power BI.
  • Demonstrated Power Apps development: Dataverse modeling, screen/form design, Power Fx logic, and data connections to Dataverse, SharePoint, and SQL-based sources.
  • Demonstrated Power Automate development: cloud flows using connectors, expressions, and error handling for data movement, approvals, and process automation.
  • Demonstrated Power BI development: data modeling, DAX, Power Query (M), refresh, and report/dashboard delivery.
  • Hands-on data engineering experience: building ETL/ELT or data pipelines, data modeling, and working with structured and semi-structured data from multiple systems.
  • Strong understanding of relational databases and proficiency in SQL for building, reviewing, and validating data structures and logic.
  • Working knowledge of Power Platform data connectivity (Dataverse, SharePoint, SQL) and how governed data assets support these solutions.
  • Familiarity with data governance, metadata management, and data quality practices, and the ability to document the logic behind delivered solutions.
  • Experience supporting business process engineering (process mapping, as-is/to-be workflows, requirements elicitation).
  • Strong analytical and problem-solving skills with exceptional attention to detail.
  • Excellent written and verbal communication skills, including translating technical content for non-technical stakeholders.
  • Ability to work independently while collaborating within cross-functional teams.
  • Authorized to work in the U.S. indefinitely without sponsorship
  • Ability to obtain a Public Trust

Preferred Qualification

  • Master's degree in Computer Science, Information Systems, Data Analytics, Healthcare Informatics, or a related field.
  • Advanced Power Platform expertise: complex DAX, performance tuning, RLS, deployment pipelines, custom/premium connectors, PCF controls, Power Fx, and model-driven app development.
  • Power Platform ALM at scale: solution layering, environment strategy, DLP policies, and source control (Git / Azure DevOps).
  • Data engineering tooling: Azure Data Factory, SSIS, Synapse, Azure SQL, dataflows, and cloud data platform experience.
  • Relevant certifications: PL-100 (App Maker), PL-200 (Functional Consultant), PL-400 (Developer), PL-300 (Power BI Data Analyst), or Azure data certifications (DP-203, DP-900).
  • Prior experience supporting the VA, VHA, or other federal healthcare agencies.
  • Direct experience with the VA Corporate Data Warehouse (CDW), VA data domains, or enterprise VA systems.
  • Formal process improvement experience (BPMN, Lean/Six Sigma).
  • Experience with data cataloging, metadata, or documentation platforms (Confluence, SharePoint, data catalogs).
  • Experience in Agile delivery supporting analytics or data modernization initiatives

Compensation & Benefits

PFS offers a benefits package that may include health, dental, and vision coverage; flexible spending accounts; disability and life insurance; retirement plan; paid time off; and other programs to support employees and their families. Learn more about PFS Benefits.

PFS benefits, compensation, and bonuses are determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract and organizational requirements.

Equal Employment Opportunity

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, parental status, national origin, age, disability, genetic information, political affiliation, military service, or other status protected by law.

Accommodations

PFS is committed to providing equal employment opportunities to all applicants. If you require a reasonable accommodation during the application or interview process, please contact us at [email protected]. Reasonable accommodations are available to ensure applicants with disabilities have equal access to the hiring process, in accordance with the Americans with Disabilities Act (ADA) and applicable laws.

Workplace Health, Safety, and Compliance

This position may be subject to client‑specific or government‑mandated vaccination, health, or safety requirements, which may change over time.

Texting Privacy Policy and Information:

  • Message type: Informational; you will receive text messages regarding your application and potentially regarding interview scheduling.
  • No mobile information will be shared with third parties/affiliates for marketing/promotional purposes.
  • Message frequency will vary depending on the application process.
  • Msg & data rates may apply.
  • Opt out at any time by texting "stop".

About the company

Prometheus Federal Services company logo
Supports US federal healthcare transformation and improvement initiatives201-500 Employees
Learn more about Prometheus Federal Services image

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