Azure Databricks Engineer, Data and Generative AI

Job overview

The Azure Databricks Engineer role is onsite in Minnetonka, MN. Compensation is not specified. The position supports enterprise data engineering and AI-powered application work across business domains. The role builds and maintains data platforms and pipelines, modernizes on-premises platforms for cloud architectures, and makes trusted data available for analytics and AI use cases. It also collaborates with AI/ML engineers and domain experts to develop and improve machine-learning and generative AI solutions.

What you'll do

• Design, build, and maintain scalable batch and streaming data pipelines
• support migration of on-premises data platforms to cloud-native architectures
• develop data platform components for ingestion, transformation, enrichment, and consumption
• implement data quality, governance, monitoring, documentation, and security controls
• collaborate with domain experts on data models
• support BI and analytics datasets
• partner with AI/ML engineers on models and generative AI architectures
• develop AI-powered enterprise applications using Azure, .NET, and generative AI technologies.

What we're looking for

Skills & competencies

azure databricks engineer

azure databricks

pyspark

python

generative ai

llms

rag

ai agents

vector databases

prompt engineering

minnetonka mn

ampcus

Work arrangement

• Weekend coverage required

Why this role

Combines Azure Databricks and PySpark data engineering with generative AI technologies including LLMs, RAG, AI agents, vector databases, and prompt engineering.

About the employer

Ampcus Incorporated is hiring for this role. Industry: Computer Systems Design Services. Sector: 54.