Quick Overview
Seniority
Mid Senior
Work mode
On Site
Location
Chicago, IL, United States
Posted
Yesterday
FastAPISQLApache SparkMLflowDatabricksPythonUnityGenerative AIDelta LakeStreamlit
Job Description
Job Description:
Role: Data Engineer Databricks, AI Applications & Analytics
Location: Edina, MN or Chicago, IL (Hybrid 3 days onsite per week)
Duration: Long term
Job Summary
Seeking a Data Engineer with strong hands-on Databricks experience to support AI application development, automation, and analytics initiatives. This role focuses on building quick-turnaround business solutions that improve processes, automate workflows, and enable data-driven decision-making.
Required Skills
- Strong hands-on experience with Databricks, Python, PySpark, and SQL.
- Experience building data pipelines and transforming data for analytics and applications.
- Experience developing AI-powered applications, data products, or analytical solutions.
- Experience integrating APIs, data sources, and enterprise platforms.
- Strong understanding of data modeling, data quality, and performance optimization.
Preferred Skills
- Experience with Generative AI, LLMs, AI agents, or agentic AI frameworks.
- Databricks Workflows, Delta Lake, Unity Catalog, and MLflow.
- Experience with Streamlit, FastAPI, or similar tools for building data applications.
- Experience delivering automation and process optimization solutions.
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