Deloitte seeks a Databricks Data Engineer to join its Core AI & Data practice in Sacramento, onsite. The role centers on designing, building, and optimizing cloud-based data engineering solutions that enable large-scale transformations and data-driven decision making, with a focus on enterprise-scale Databricks implementations that boost performance for analytics and AI initiatives.

Job Details

Location: Sacramento, CA (onsite)
Salary: USD 86,700 - 170,900 per year
Minimum experience: 2 years
Education: Bachelor's degree in Computer Science, Engineering, Information Systems, Data Science, Mathematics, or Statistics

Summary

The Databricks Data Engineer will contribute to Deloitte's Core AI & Data practice by designing, building, and optimizing cloud-based data pipelines and platforms. The role emphasizes implementing scalable Databricks solutions to improve platform performance and support analytics and AI use cases across client environments.

Responsibilities

Design, implement, and maintain data pipelines and engineering solutions using Databricks, Apache Spark, Python, and SQL
Support modernization of enterprise data platforms through cloud-based ingestion, transformation, and storage patterns
Develop and sustain 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 with at least one cloud platform: AWS, Azure, or GCP
Ability to travel 50 percent on average based on client engagement
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 AI capabilities across the business.
The team collaborates with clients to architect, engineer, and deploy cloud-based data solutions that enhance decision-making, foster innovation, and support large-scale transformation.
Practitioners work across business and technology functions to address data modernization, governance, platform engineering, and insight delivery challenges.

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

Applicants with a need for accommodation may review Deloitte's assistance for disabled applicants at the following URL: Join Deloitte assistance for disabled applicants.

Databricks Data Engineer

Job Description