Power Platform Developer — Apps, Flows & Dataverse Expert

Ignite Digital; San Diego (CA); On-site; USD 86,000 - 105,000; Full time

Benefits offered by this job

Competitive pay

PTO

Education stipends

Referral bonuses

Work with US federal government

Job summary

Ignite Digital is seeking a Mid-Level Power Platform Developer to design, build, and enhance solutions across Power Apps, Power Automate, and Dataverse. This role supports enterprise digital transformation and partners with business and technical stakeholders to deliver scalable, secure applications.

You will build Canvas and Model-Driven Apps, design automated workflows, and optimize data models while ensuring governance and ALM standards are met.

Qualifications

• 2-5 years of experience building Power Platform solutions.
• Proficient in Canvas and Model-Driven app development.
• Experience with Power Automate cloud flows and integrations.

Responsibilities

• Build and enhance Canvas and Model-Driven Power Apps applications.
• Design automated workflows using Power Automate, including complex multi-stage flows.
• Develop and optimize Dataverse tables, relationships, and data models.
• Integrate Power Platform solutions with external systems using custom connectors and REST APIs.
• Participate in requirement gathering sessions with business partners.
• Provide production support and troubleshoot platform issues.
• Ensure solutions follow enterprise governance, security, and ALM standards.

Skills

Power Platform

Power Apps

Power Automate

Dataverse

ALM

Cross-functional

Communication

Tools

Power BI

Azure Functions

Logic Apps

Azure API Management

Job description

Ignite Digital is seeking a Mid-Level Power Platform Developer to design, build, and enhance solutions across Power Apps, Power Automate, and Dataverse. This role supports enterprise digital transformation and partners with business and technical stakeholders to deliver scalable, secure applications.

You will build Canvas and Model-Driven Apps, design automated workflows, and optimize data models while ensuring governance and ALM standards are met.