AI-Driven Data Engineer — Power Platform Studio

State Farm; Bloomington (IN); Hybrid; USD 86,000 - 120,000; Full time

Job summary

State Farm is building the next generation of AI-powered data solutions, seeking a Data Engineer to design scalable data pipelines and responsible data products for enterprise use. The role collaborates with Microsoft engineering teams to enable AI-powered experiences across the Power Platform and related cloud technologies.

You will work in a hybrid setup near Bloomington and contribute to DataOps practices, data governance, and the development of trusted enterprise data for intelligent

Qualifications

• 3+ years of professional data engineering experience
• 3+ years of SQL querying, data transformation, and modeling
• 2+ years using Python for data engineering or automation
• 2+ years with modern cloud data technologies (e.g., Fabric, Azure, Snowflake)
• Experience with DataOps practices like CI/CD and automated testing
• Experience working with structured, semi-structured, and unstructured data
• Strong communication and collaboration across teams

Responsibilities

• Design, build, and maintain scalable data pipelines and integrations
• Develop reusable data products for AI, Power Platform, analytics, and automation
• Engineer data solutions for AI and generative AI use cases
• Collaborate with engineers, architects, and business partners to deliver data solutions
• Transform and validate data from various sources and formats
• Apply CI/CD, monitoring, and testing in data pipelines
• Integrate data from APIs, databases, and SaaS platforms
• Support secure, governed, and compliant data solutions
• Contribute to modern cloud data architecture and governance
• Establish reusable patterns and best practices for enterprise data solutions

Skills

SQL

Python

Cloud data platforms

DataOps

Structured data handling

Job description

State Farm is building the next generation of AI-powered data solutions, seeking a Data Engineer to design scalable data pipelines and responsible data products for enterprise use. The role collaborates with Microsoft engineering teams to enable AI-powered experiences across the Power Platform and related cloud technologies.

You will work in a hybrid setup near Bloomington and contribute to DataOps practices, data governance, and the development of trusted enterprise data for intelligent