Jobs · Information Technology · Georgia

Mid-Level DATA ENGINEER: Microsoft Power Platform & AI Copilot Studio (HYBRID)

State Farm · Atlanta, GA · 1 mo ago
Information Technology$86k–$120k/yrFull-time

Overview

State Farm is building the next generation of AI-powered business solutions, and data is at the center of that transformation. The Power Platform team is looking for a Data Engineer who is passionate about building modern, scalable data solutions that enable automation, analytics, AI-powered experiences, and intelligent applications across the enterprise. Our team works closely with Microsoft engineering and product teams to evaluate and enable emerging technologies.

Responsibilities

In this role, you'll help design and deliver scalable, secure, and governed data solutions that support Microsoft Power Platform, AI, Microsoft Fabric, Dataverse, and other cloud technologies. This is an opportunity to help shape the data foundation supporting modern application development, automation, analytics, and AI at enterprise scale.

  • Design, build, and maintain scalable data pipelines, integrations, and data solutions
  • Develop reusable data products that support AI, Power Platform, analytics, reporting, and enterprise automation
  • Engineer data solutions that support AI and generative AI use cases, including the preparation, integration, and delivery of trusted enterprise data for intelligent applications
  • Partner with software engineers, architects, citizen developers, and business partners to design and deliver trusted data solutions
  • Transform, cleanse, profile, and validate structured, semi-structured, and unstructured data from enterprise and external sources
  • Apply DataOps practices including source control, automation, monitoring, testing, continuous integration and continuous delivery (CI/CD), and deployment
  • Design solutions that integrate data from application programming interfaces (APIs), databases, software-as-a-service (SaaS) platforms, and enterprise systems
  • Support secure, governed, and compliant data solutions aligned with enterprise standards
  • Contribute to modern cloud data architecture and evaluate emerging technologies that improve engineering productivity and platform capabilities
  • Help establish reusable patterns and engineering best practices for enterprise data solutions

Why Join Our Team?

  • Work with Microsoft engineering and product teams as we evaluate and enable emerging technologies
  • Help shape the future of AI, Power Platform, data, and enterprise automation at State Farm
  • Build reusable platform capabilities that enable thousands of builders across the organization
  • Contribute to modern enterprise architecture and engineering practices
  • Join a collaborative team focused on innovation, enablement, experimentation, and continuous learning

Qualifications

We are seeking candidates with:

  • 3+ years of professional data engineering experience, including designing and building production data pipelines, integrations, or data solutions
  • 3+ years of experience with SQL, including querying, data transformation, and data modeling
  • 2+ years of experience using Python for data engineering, automation, data 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 cloud data platforms
  • Experience applying modern DataOps and software engineering practices, including version control, automated testing, CI/CD, and deployment
  • Experience working with structured, semi-structured, and unstructured data
  • Strong analytical and problem-solving skills with the ability to independently investigate and solve technical problems
  • Strong written and verbal communication skills and the ability to collaborate across technical and business teams

Additional Skills That Will Help You Stand Out

  • Experience with one or more of the following is beneficial:
    • Microsoft Power Platform
    • Databricks
    • Microsoft Dataverse
    • Microsoft Fabric and OneLake
    • Microsoft Graph
    • Microsoft Foundry or Azure OpenAI
    • Data engineering supporting AI or generative AI applications
    • Lakehouse architecture
    • Power BI semantic models and enterprise analytics
    • REST APIs and event-driven architectures
    • Microsoft Azure certifications

Pay

Potential starting salary range: $85,500 - $120,000. Starting salary will be based on skills, background, and experience. High end of the range limited to applicants with significant relevant experience. Potential yearly incentive pay up to 14% of base salary.

Benefits

Because work-life balance is a priority at State Farm, compensation is based on our standard 38:45-hour work week. Benefits include:

  • Get Paid: On top of competitive pay, you are eligible for an annual raise and bonus
  • Stay Well: Robust health and wellbeing programs with State Farm paying most of your healthcare premium; multiple healthcare plan options including a high deductible plan; all medical plans provide 100% coverage for in-network preventative care; access to vision, dental, telemedicine, and 24/7 mental health professionals
  • Develop and Grow: Educational benefits including industry leading training programs, tuition assistance programs, employee resource groups, and mentoring
  • Plan Ahead: Fertility/IVF/adoption assistance, college coaching, national discount programs, interactive monthly financial workshops, free financial coaching, and more; access to State Farm Federal Credit Union
  • Take a Little "You" Time: Generous time off policies with opportunity to initially earn up to 20 days annually plus parental leave, paid holidays, celebration day, life leave (40 hours/year), bereavement leave, and community service/education support days
  • Give Back: Matching Gift Program, Good Neighbor Grant Program, and Employee Assistance Fund
  • Finish Strong: Free financial advisors and a 401(k) plan with company contributions of up to 7% of your salary

Schedule

HYBRID — Qualified candidates must live within close proximity to a hub location listed below and should plan to spend time working from home and some time working in the office as part of our hybrid work environment. HUB LOCATIONS: Bloomington, IL; Richardson, TX; Tempe, AZ; or Dunwoody, GA.

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