Senior Databricks Analytics Engineer

Chanhassen, MN, US • Posted 3 hours ago • Updated 2 hours ago
Contract W2
On-site
Depends on Experience
Fitment

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Summary

Senior Databricks Analytics Engineer
Contract-(3-6 months)
Hybrid - Chanhassen, MN (Local Preferred)


Role Overview:
  • Client is seeking a Senior Databricks Analytics Engineer to help design and build a new Databricks-based analytics platform from the ground up.
  • This individual will work closely with Data & AI leadership and serve as a technical partner in establishing the Lakehouse architecture, Medallion data model, semantic layer strategy, and reporting-ready datasets.
  • The ideal candidate has prior experience building Databricks environments from scratch and can operate independently with minimal direction while helping establish foundational best practices.
Top Skills:
  • Databricks
  • Delta Lake
  • PySpark
  • SQL
  • Data Modeling
  • Medallion Architecture
  • Lakehouse Architecture
  • Silver & Gold Layer Development
  • Semantic Modeling
  • Analytics Engineering
  • Data Warehousing
  • PowerBI
Nice to have Skills:
  • Databricks Apps
  • Unity Catalog
  • dbt
  • Microsoft Fabric
  • Power BI Semantic Models
  • Unstructured Data Ingestion
  • AI / GenAI Data Preparation
  • Vector Databases
  • Azure AI Services
  • RAG Framework Exposure
  • Python
  • Azure Data Factory
Job Description:
  • Partner with Data & Analytics leadership to design and build a Databricks Lakehouse environment.
  • Develop and maintain Bronze, Silver, and Gold layers within a Medallion Architecture.
  • Design and implement business-facing data models and semantic layers.
  • Create analytics-ready datasets optimized for reporting and self-service BI.
  • Build and optimize ETL/ELT pipelines using Databricks, PySpark, and SQL.
  • Support ingestion and processing of structured and unstructured data sources.
  • Collaborate with business stakeholders to define metrics, reporting requirements, and data structures.
  • Establish data quality, validation, and governance best practices.
  • Contribute to Databricks Apps and analytics platform capabilities.
  • Help define scalable architecture patterns and development standards.
  • Support AI and GenAI initiatives through data preparation and ingestion pipelines.
Ideal Candidate Profile:
  • Senior Databricks Analytics Engineer
  • Senior Data Engineer
  • Lakehouse Engineer
  • Analytics Engineer
  • Databricks Consultant
  • Databricks Data Architect (hands-on)
  • Data Platform Engineer
  • Azure Databricks Engineer
  • Data Warehouse Engineer with Lakehouse experience
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10529458
  • Position Id: 25504
  • Posted 3 hours ago
Contact the job poster
TT

Tyler Tuneberg

Recruiter @ C4 Technical Services
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