Databricks Data Engineer — Cloud Data Pipelines & AI

Deloitte France; San Diego (CA); On-site; USD 87,000 - 171,000; Full time

Job summary

Deloitte is seeking a Databricks Data Engineer II to design, build, and optimize cloud-based data pipelines for large-scale transformations. You will modernize data environments and support analytics and AI use cases across client projects.

The role emphasizes collaboration with business and technology teams, strong communication, and the ability to work independently in a fast-paced consulting setting. Travel up to 50% is typical for client engagements.

Qualifications

• Bachelor's degree in Computer Science, Engineering, Information Systems, Data Science, Mathematics, or Statistics
• 3+ years of data engineering or related experience
• 2+ years building data pipelines in Databricks with Spark, Python, SQL
• Experience with cloud platforms (AWS, Azure, or GCP)
• Willingness to travel ~50% as required

Responsibilities

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

Skills

Independent worker

Communication skills

Attention to detail

Relationship building

Project leadership

Time management

Interpersonal skills

Deadline-driven

Mentoring

Education

Bachelor's degree in Computer Science or related field

Tools

Databricks

Apache Spark

Python

SQL

Git/version control

Job description

Deloitte is seeking a Databricks Data Engineer II to design, build, and optimize cloud-based data pipelines for large-scale transformations. You will modernize data environments and support analytics and AI use cases across client projects.

The role emphasizes collaboration with business and technology teams, strong communication, and the ability to work independently in a fast-paced consulting setting. Travel up to 50% is typical for client engagements.