Databricks Data Engineer: AI & Data Modernization

Deloitte France; Columbus (OH); 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 engineering solutions. You will work with Databricks, Spark, Python, and SQL to enable large-scale data transformation for analytics and AI use cases.

You will support enterprise data modernization, implement ingestion and storage patterns, and collaborate with cross-functional teams to deliver measurable business outcomes. Travel is expected around 50%.

Qualifications

• Bachelor's degree in a relevant field.
• 3+ years in data engineering or ETL.
• 2+ years building pipelines in Databricks with Spark, Python, SQL.
• Experience with cloud platforms (AWS, Azure, or GCP).
• Willingness to travel ~50% on average.

Responsibilities

• Design, build, and maintain data pipelines using Databricks and Spark.
• Support modernization of enterprise data platforms and cloud ingestion patterns.
• Develop batch and streaming data workflows for analytics and AI use cases.
• Apply data architecture and modeling to improve quality and performance.
• Collaborate with client and Deloitte teams on large-scale transformations.

Skills

Databricks

Apache Spark

Python

SQL

Data pipelines

Cloud platforms

Communication skills

Education

Bachelor's degree

Tools

Delta Lake

Databricks Workflows

Unity Catalog

Git

Job description

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

You will support enterprise data modernization, implement ingestion and storage patterns, and collaborate with cross-functional teams to deliver measurable business outcomes. Travel is expected around 50%.