Databricks Data Engineer role at Deloitte in Tempe, AZ (onsite) with a salary range of USD 86,700 - 170,900 per year.

Design, construct, and manage data pipelines and engineering solutions using Databricks, Apache Spark, Python, and SQL.
Support enterprise data platform modernization by implementing cloud-based ingestion, transformation, and storage patterns.
Develop and operate batch and streaming data workflows to enable reporting, analytics, and AI initiatives.
Apply data architecture, integration, and modeling practices to enhance data quality, scalability, and performance of the platform.
Collaborate with client teams and Deloitte colleagues to troubleshoot issues, implement enhancements, and deliver large-scale data transformation programs.

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 designing data models, data integration patterns, and cloud-based data processing workflows.
Experience with at least one cloud platform: AWS, Azure, or Google Cloud Platform (GCP).
Ability to travel approximately 50% of the time, depending on client engagements.
Limited immigration sponsorship may be available.

Experience with Delta Lake, Databricks Workflows, and Unity Catalog
Git-based version control and continuous integration/deployment pipelines
Experience supporting batch and streaming data workloads
Knowledge of data warehousing, lakehouse architecture, and performance optimization
Experience enabling analytics or machine learning data pipelines
Background in consulting or client-facing delivery environments

Databricks Data Engineer

Job Description