Deloitte's Core AI & Data practice is seeking a Databricks Data Engineer to design, build, and optimize cloud-based data pipelines that enable large-scale transformation and data-driven decision making. This on-site role in Sacramento, CA focuses on implementing enterprise-scale Databricks solutions to improve platform performance and support analytics and AI use cases. The position offers a salary range of USD 86,700 - 170,900 per year and requires a bachelor's degree in Computer Science, Engineering, Information Systems, Data Science, Mathematics, or Statistics, with a minimum of two years of experience.
Responsibilities
- Design, develop, and sustain data pipelines and engineering solutions using Databricks, Apache Spark, Python, and SQL
- Contribute to modernizing enterprise data platforms by implementing cloud-based ingestion, transformation, and storage patterns
- Create 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 initiatives
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 working with at least one cloud platform: AWS, Azure, or 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
Technologies
- Databricks, Apache Spark, Python, SQL
- Delta Lake, Databricks Workflows, Unity Catalog
- Git, CI/CD
- AWS, Microsoft Azure, Google Cloud Platform (GCP)
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 works 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 solve complex challenges in data modernization, governance, platform engineering, and insight delivery.
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
Accommodation information
Information for applicants with a need for accommodation: https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applic
