Databricks Data Engineer
Job Description
Join Deloitte's Core AI & Data practice to help modernize data platforms, strengthen enterprise data foundations, and scale analytics and AI capabilities across client organizations. This onsite role in Atlanta, GA offers a competitive salary and the chance to work with Databricks, Apache Spark, Python, and SQL to deliver AI driven insights. You will collaborate with business and technology teams to achieve measurable business outcomes through cloud based data engineering solutions.
Location: Atlanta, GA (onsite). Salary: USD 86,700 - 170,900 per year. Education: Bachelor's degree. Experience: 3+ years in data engineering.
Responsibilities
- Design, build, and maintain data pipelines and engineering solutions using Databricks, Apache Spark, Python, and SQL.
- Support modernization of enterprise data platforms by implementing cloud native ingestion, transformation, and storage patterns.
- Develop and maintain batch and streaming data workflows that support reporting, analytics, and AI 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.
Requirements
- Bachelor's degree in Computer Science, Engineering, Information Systems, Data Science, Mathematics, or Statistics.
- 3+ years of experience in data engineering, ETL development, or data platform engineering.
- 2+ years of experience building data pipelines in Databricks using Apache Spark, Python, and SQL.
- Experience implementing data models, data integration patterns, and cloud based data processing workflows.
- Experience with at least one cloud platform: AWS, Azure, or Google Cloud Platform (GCP).
- Ability to travel 50% on average based on client needs.
- 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 partners with clients to architect, engineer, and deploy cloud-based data solutions that improve decision-making, enable innovation, and support large-scale transformation. Practitioners collaborate across business and technology functions to address complex challenges in data modernization.
Preferred
- Experience with Delta Lake, Databricks Workflows, and Unity Catalog
- Experience using Git-based version control and CI/CD pipelines
- Experience supporting batch and streaming data workloads
- Experience with data warehousing, lakehouse architecture, and performance optimization
- Experience supporting analytics or machine learning data pipelines
- Experience working in consulting or client service delivery environments
Information for applicants with a need for accommodation
For accommodations during the application process, please refer to Deloitte's guidance for disabled applicants: https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applic...