Deloitte seeks an onsite Databricks Data Engineer in Atlanta, GA, offering a salary range of USD 86,700 - 170,900 per year and requiring a Bachelor's degree plus at least 3 years of data engineering experience.

Responsibilities

Create and sustain data pipelines and engineering solutions using Databricks, Apache Spark, Python, and SQL
Support modernization of enterprise data platforms by deploying cloud-based ingestion, transformation, and storage patterns
Design and operate batch and streaming data workflows to enable reporting, analytics, and AI use cases
Apply data architecture, integration, and modeling practices to improve data quality, scalability, and performance
Collaborate with client and Deloitte teams to troubleshoot issues, implement enhancements, and support large-scale data transformation programs

Requirements

Bachelor's degree in Computer Science, Engineering, Information Systems, Data Science, Mathematics, or Statistics
Minimum of three years in data engineering, ETL development, or data platform engineering
At least two years building data pipelines in Databricks using Spark, Python, and SQL
Experience implementing data models, data integration patterns, and cloud-based processing workflows
Experience with one or more cloud platforms (AWS, Azure, or Google Cloud Platform)
Willingness to travel approximately 50% depending on client engagements
Limited immigration sponsorship may be available

Technologies

Databricks
Apache Spark
Python
SQL
Delta Lake
Unity Catalog
Databricks Workflows
Git and Git-based version control
AWS
Microsoft Azure
Google Cloud Platform (GCP)
CI/CD

The Team

Deloitte's Core AI & Data practice helps organizations modernize data platforms, strengthen enterprise data foundations, and scale analytics and artificial intelligence capabilities across the business. The team collaborates with clients to architect, engineer, and deploy cloud-based data solutions that improve decision-making, enable innovation, and support large-scale transformation. Practitioners work across business and technology functions to address data modernization challenges.

Preferred

Experience with Delta Lake, Databricks Workflows, and Unity Catalog
Proficiency with Git-based version control and continuous integration/continuous deployment pipelines
Experience supporting batch and streaming data workloads
Background in data warehousing, lakehouse architecture, and performance optimization
Experience supporting analytics or machine learning data pipelines
Experience working in consulting or client service delivery environments

Accommodation

Information for applicants with a need for accommodation is available at Deloitte assistance for disabled applicants.

Databricks Data Engineer