Based onsite in Sacramento, CA, Deloitte's Core AI & Data practice invites you to join as a Databricks Data Engineer. This role focuses on designing, building, and optimizing cloud-based data engineering solutions to enable large-scale transformation and data-driven decision making. You will work on enterprise-scale Databricks implementations that enhance platform performance to support analytics and AI use cases. The position offers a structured career path within a leading consulting environment, a salary range of USD 86,700 to 170,900 per year, and on-site opportunities with travel typically up to 50% depending on client engagements. Limited immigration sponsorship may be available.

What you will do

Design, build, and maintain data pipelines and data engineering solutions using Databricks, Apache Spark, Python, and SQL
Support modernization of enterprise data platforms by implementing cloud-based ingestion, transformation, and storage patterns
Develop and maintain batch and streaming data workflows that enable 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 working with at least one cloud platform: AWS, Azure, or 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, Databricks Workflows, Unity Catalog
Git, CI/CD
AWS, Microsoft Azure, Google Cloud Platform (GCP)

The Deloitte Core AI & Data 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 architects, engineers, and deploys 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 qualifications

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 is available at the following Deloitte page: Accommodation for applicants with a disability.

Databricks Data Engineer