Join Deloitte's Core AI & Data practice in Seattle, onsite, and help clients modernize data platforms, unlock scalable analytics, and drive AI-enabled decision making. This role centers on building cloud-based data solutions with Databricks and Spark, collaborating with business and technology teams to enable large‑scale data transformation across client engagements. The position carries a competitive salary range of USD 86,700 to 170,900 per year.

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-based 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 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 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% on average based on client needs and engagements
Limited immigration sponsorship may be available

Technologies

Databricks, Apache Spark, Python, SQL
Delta Lake, Databricks Workflows, Unity Catalog
Git, CI/CD pipelines
AWS, Microsoft Azure, Google Cloud Platform (GCP)

The Team

Deloitte's Core AI & Data practice partners with organizations to modernize data platforms, strengthen foundational data capabilities, and scale analytics and AI across the business. The team designs, engineers, and deploys cloud-based data solutions that support better decision‑making, foster innovation, and enable large‑scale transformations. Practitioners collaborate across business and technology lines to tackle challenges in data modernization, governance, platform engineering, and insight delivery.

Preferred qualifications

Experience with Delta Lake, Databricks Workflows, and Unity Catalog
Proficiency with Git-based version control and CI/CD pipelines
Experience supporting batch and streaming data workloads
Knowledge of data warehousing, lakehouse architectures, and performance optimization
Background supporting analytics or machine learning data pipelines
Experience working in consulting or client service delivery environments

Accommodation information

Information for applicants who require accommodation is available at: https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applic...

Databricks Data Engineer