Databricks Data Engineer: Cloud Data & AI Transformation

Deloitte France; Charlotte (NC); On-site; USD 87,000 - 171,000; Full time

Job summary

Deloitte is seeking a Databricks Data Engineer II to help modernize data platforms and enable AI-driven analytics. You will design and optimize data pipelines, work with Spark, Python, and SQL, and implement cloud-based ingestion and storage patterns to support large-scale transformations.

The role requires 3+ years in data engineering, strong communication, and ability to travel up to 50% depending on client needs. Deloitte offers collaborative, client-focused delivery and growth opportunities.

Qualifications

• Bachelor's degree in CS/Engineering/IS/Data Science/Math/Statistics.
• 3+ years of data engineering, ETL, or data platform experience.
• 2+ years building data pipelines in Databricks with Spark, Python, SQL.
• Experience with cloud-based data processing and models.
• Willingness to travel ~50% and possibility of immigration sponsorship.

Responsibilities

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

Skills

Independence

Team collaboration

Written communication

Verbal communication

Attention to detail

Quality of work

Relationship building

Project leadership

Time management

Education

Bachelor's degree in CS/Eng/IS/Data Science/Math/Stats

Tools

Databricks

Apache Spark

Python

SQL

Cloud platforms (AWS/Azure/GCP)

Delta Lake

Unity Catalog

Databricks Workflows

Git & CI/CD

Job description

Deloitte is seeking a Databricks Data Engineer II to help modernize data platforms and enable AI-driven analytics. You will design and optimize data pipelines, work with Spark, Python, and SQL, and implement cloud-based ingestion and storage patterns to support large-scale transformations.

The role requires 3+ years in data engineering, strong communication, and ability to travel up to 50% depending on client needs. Deloitte offers collaborative, client-focused delivery and growth opportunities.