Databricks Data Engineer: Modern Data Platforms & AI

Deloitte France; Houston (TX); On-site; USD 87,000 - 171,000; Full time

Job summary

Deloitte's Core AI & Data practice in Houston seeks a Data Engineer II to design, build, and optimize cloud-based data pipelines using Databricks, Spark, Python, and SQL. You will modernize data platforms, enable analytics, and support AI use cases for large-scale transformations.

The role requires 3+ years in data engineering, 2+ years with Databricks, and cloud platform experience (AWS/Azure/GCP), with travel ~50% and a path toward impactful client work.

Qualifications

• Bachelor's degree in Computer Science, Engineering, Information Systems, Data Science, Mathematics, or Statistics.
• 3+ years of experience in data engineering, extract, transform, load (ETL) development, or data platform engineering.
• 2+ years of experience building data pipelines in Databricks using Apache Spark, Python, and Structured Query Language (SQL)
• Experience implementing data models, data integration patterns, and cloud-based data processing workflows
• Experience working with at least one cloud platform: Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP)
• Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve.
• Limited immigration sponsorship may be available.

Responsibilities

• Design, build, and maintain data pipelines and data engineering solutions using Databricks, Apache Spark, Python, and SQL.
• Support the modernization of enterprise data platforms by implementing cloud-based ingestion, transformation, and storage patterns.
• Develop and maintain batch and streaming data workflows that support reporting, analytics, and artificial intelligence use cases.
• Apply data architecture, integration, and data modeling practices to improve data quality, scalability, and platform performance.
• Collaborate with client and Deloitte teams to troubleshoot issues, implement enhancements, and support delivery of large-scale data transformation programs.

Skills

Databricks

Apache Spark

Python

SQL

Data modeling

Data integration

Cloud platforms experience

Education

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

Tools

Git

CI/CD pipelines

Delta Lake

Databricks Workflows

Unity Catalog

Job description

Deloitte's Core AI & Data practice in Houston seeks a Data Engineer II to design, build, and optimize cloud-based data pipelines using Databricks, Spark, Python, and SQL. You will modernize data platforms, enable analytics, and support AI use cases for large-scale transformations.

The role requires 3+ years in data engineering, 2+ years with Databricks, and cloud platform experience (AWS/Azure/GCP), with travel ~50% and a path toward impactful client work.