Databricks Data Engineer - Modernize Data Platforms at Scale

Deloitte France; Minneapolis (MN); On-site; USD 87,000 - 171,000; Full time

Job summary

Deloitte is seeking a Data Engineer II to design, build, and optimize cloud-based data solutions that enable large-scale transformation. You will work with Databricks, Spark, Python, and SQL to modernize data environments and support AI use cases.

Join a team focused on enterprise-scale data platforms, governance, and analytics, with opportunities to lead projects and collaborate across business and technology functions.

Qualifications

• Bachelor’s degree in CS/Engineering/IS/DS/Math/Stats.
• 3+ years of experience in data engineering, ETL, or data platform engineering.
• 2+ years building data pipelines in Databricks using Spark, Python, and SQL.
• Experience with data models, data integration patterns, and cloud-based processing workflows.
• Experience with AWS/Azure/GCP.
• Ability to travel 50% on average.

Responsibilities

• Design, build, and maintain data pipelines and data engineering solutions using Databricks, Apache Spark, Python, and SQL.
• Support modernization of enterprise data platforms with cloud-based ingestion, transformation, and storage patterns.
• Develop and maintain batch and streaming data workflows for reporting, analytics, and AI use cases.
• Apply data architecture, integration, and data modeling to improve data quality, scalability, and performance.
• Collaborate with client and Deloitte teams to troubleshoot issues and deliver large-scale data transformations.

Skills

Team collaboration

Communication

Attention to detail

Relationship building

Project leadership

Multitasking

Interpersonal skills

Deadline driven

Guidance

Education

Bachelor’s degree in CS/Engineering/IS/DS/Math/Stats

Tools

Databricks

Apache Spark

Python

SQL

AWS/Azure/GCP

Delta Lake

Databricks Workflows

Unity Catalog

Job description

Deloitte is seeking a Data Engineer II to design, build, and optimize cloud-based data solutions that enable large-scale transformation. You will work with Databricks, Spark, Python, and SQL to modernize data environments and support AI use cases.

Join a team focused on enterprise-scale data platforms, governance, and analytics, with opportunities to lead projects and collaborate across business and technology functions.