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

Databricks Data Engineer