Databricks Data Engineer for AI & Data Modernization

Deloitte France; McLean (VA); On-site; USD 87,000 - 171,000; Full time

Job summary

Deloitte is hiring a Databricks Data Engineer II to design, build, and optimize cloud-based data pipelines and analytics solutions. You will work with Databricks, Spark, Python, and SQL to support enterprise-scale data modernization and AI use cases.

Join a team that partners with clients to deliver measurable business outcomes, with opportunities to scale analytics capabilities and improve platform performance.

Qualifications

• Bachelor's degree in a technical field.
• 3+ years of data engineering or data platform experience.
• 2+ years building data pipelines in Databricks using Spark, Python, SQL.
• Experience with cloud-based data processing workflows and data modeling.

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 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 quality, scalability, and performance.
• Collaborate with client and Deloitte teams to troubleshoot, enhance, and deliver large-scale data transformations.

Skills

Independent work

Team collaboration

Written and verbal communication

Attention to detail

Relationship building

Project leadership

Time management

Interpersonal skills

Meeting deadlines

Guidance to others

Education

Bachelor's degree in Computer Science, Engineering, Information Systems, Data Science, Mathematics, or Statistics

Tools

Databricks

Apache Spark

Python

SQL

AWS/Azure/GCP

Job description

Deloitte is hiring a Databricks Data Engineer II to design, build, and optimize cloud-based data pipelines and analytics solutions. You will work with Databricks, Spark, Python, and SQL to support enterprise-scale data modernization and AI use cases.

Join a team that partners with clients to deliver measurable business outcomes, with opportunities to scale analytics capabilities and improve platform performance.