Accenture Federal Services
Power Platform Analytics Engineer
About this role
Accenture Federal Services seeks a Power Platform Analytics Engineer to develop and maintain data solutions for the CFIUS Analytics team. This role combines data analysis with software engineering, requiring expertise in Power BI, Dataverse, Python, and Azure technologies to build end-to-end analytics platforms for federal clients.
What you'll do
- Develop and maintain database solutions and application components based on technical designs
- Implement ETL processes and internal APIs using Power Automate, Python, and Azure Data Factory
- Create and enhance interactive Power BI dashboards and reports with complex data models
- Configure data integrations with external APIs and apply security measures
- Contribute to front-end development using JavaScript/TypeScript and React as needed
- Support Azure DevOps CI/CD pipelines and maintain technical documentation
What they're looking for
- Power BI
- Dataverse and Power Automate
- Python
- Azure Data Factory
- Azure DevOps (CI/CD)
- Data security concepts (OAuth, Entra ID, Security Roles)
- AI Builder and Azure OpenAI
- JavaScript/TypeScript and React
Benefits
- Collaborative and caring work community
- Professional growth through hands-on experience and certifications
- Industry training and development opportunities
- Wide variety of benefits package
- Work with federal government clients on mission-critical projects
- Glassdoor Top 100 Best Place to Work recognition
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Accenture Federal Services
Accenture Federal Services builds and maintains mission-critical technology solutions for the U.S. federal government, including cloud infrastructure, enterprise systems integrations, and cyber defense tools. The company is hiring DevOps engineers, full-stack developers, SAP specialists, and test engineers to support classified and unclassified federal government projects.
- Website
- accenturefederal.com
Likely interview questions
- Describe your experience building data solutions with Power BI and Dataverse—what was your most complex project?
- How have you designed and implemented ETL pipelines, and which tools did you prefer and why?