Mid-Level Data Engineer: Microsoft Power Platform & AI Copilot Studio (Hybrid)

Location: Hybrid work near one of these U.S. hubs: Bloomington, Illinois; Richardson, Texas; Tempe, Arizona; or Dunwoody, Georgia. Some work is performed from home and some in the office. Applicants must already be eligible to work lawfully in the United States; visa sponsorship is not available.

Salary: $85,500–$120,000 yearly, plus potential incentive pay of up to 14% of base salary.

Company

hirify.global is an insurance company developing enterprise-scale AI-powered business solutions and modern technology platforms.

What you will do

• Design, build, and maintain scalable data pipelines, integrations, and reusable data products.
• Prepare, transform, cleanse, profile, and validate structured, semi-structured, and unstructured data.
• Develop data solutions supporting Microsoft Power Platform, analytics, reporting, automation, and AI-powered applications.
• Integrate data from APIs, databases, SaaS platforms, and enterprise systems.
• Apply DataOps practices including source control, automated testing, monitoring, CI/CD, and deployment.
• Partner with software engineers, architects, citizen developers, and business stakeholders while establishing secure, governed engineering patterns.

Requirements

• 3+ years of professional data engineering experience building production pipelines, integrations, or data solutions.
• 3+ years of SQL experience with querying, data transformation, and data modeling.
• 2+ years of Python experience for data engineering, automation, transformation, or pipeline development.
• 2+ years of experience with modern cloud data technologies such as Microsoft Fabric, Azure Data Factory, Azure Synapse Analytics, Azure Databricks, Snowflake, or comparable platforms.
• Experience with structured, semi-structured, and unstructured data, as well as version control, automated testing, CI/CD, and deployment.
• Strong analytical, problem-solving, written communication, and cross-functional collaboration skills.

Nice to have

• Microsoft Power Platform, Microsoft Dataverse, Microsoft Fabric, OneLake, or Microsoft Graph experience.
• Microsoft Foundry or Azure OpenAI experience and data engineering for AI or generative AI applications.
• Lakehouse architecture, Power BI semantic models, enterprise analytics, REST APIs, or event-driven architecture experience.
• Microsoft Azure certifications.

Culture & Benefits

• Collaborative environment focused on innovation, experimentation, enablement, and continuous learning.
• Opportunity to work with Microsoft engineering and product teams and build reusable capabilities for enterprise users.
• Health, dental, vision, telemedicine, mental health, and wellbeing programs.
• Training, tuition assistance, mentoring, and employee resource groups.
• Paid time off, up to 20 days initially, parental leave, paid holidays, and additional leave programs.
• Annual raise, bonus eligibility, retirement benefits with a 401(k) contribution of up to 7%, and financial coaching.