Databricks Data Engineer: Cloud Data Pipelines & AI

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

Job summary

Deloitte in Austin seeks a Data Engineer II to design, build, and maintain data pipelines using Databricks, Spark, Python, and SQL. You will modernize data platforms and support AI use cases across client engagements.

The role requires 3+ years in data engineering, 2+ years with Databricks, and cloud experience (AWS/Azure/GCP). Travel ~50% may be required, with strong collaboration and communication skills essential.

Qualifications

• 3+ years of data engineering experience, ETL development, or data platform engineering.
• 2+ years building data pipelines in Databricks using Spark, Python, and SQL.
• Experience implementing data models, data integration patterns, and cloud-based data processing workflows.
• Ability to travel 50% on average based on client and industry needs.

Responsibilities

• Design, build, and maintain data pipelines and data engineering solutions using Databricks, Apache 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 practices to improve data quality, scalability, and performance.
• Collaborate with client and Deloitte teams to troubleshoot issues and support large-scale data transformation programs.

Skills

Communication skills

Team collaboration

Attention to detail

Relationship building

Project leadership

Task prioritization

Interpersonal skills

Deadline driven

Guidance to others

Education

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

Tools

Databricks

Apache Spark

Python

SQL

Cloud platforms (AWS/Azure/GCP)

Job description

Deloitte in Austin seeks a Data Engineer II to design, build, and maintain data pipelines using Databricks, Spark, Python, and SQL. You will modernize data platforms and support AI use cases across client engagements.

The role requires 3+ years in data engineering, 2+ years with Databricks, and cloud experience (AWS/Azure/GCP). Travel ~50% may be required, with strong collaboration and communication skills essential.