Databricks Data Engineer

Deloitte seeks a Databricks Data Engineer to design, build, and optimize cloud-based data platforms for large-scale analytics and AI initiatives in an onsite role in McLean, VA, with a salary range of USD 86,700 to 170,900 per year.

Responsibilities

• Architect and implement data pipelines and engineering solutions using Databricks, Apache Spark, Python, and SQL.
• Support modernization of enterprise data platforms by deploying cloud-centric ingestion, transformation, and storage patterns.
• Develop and sustain batch and streaming data workflows to power reporting, analytics, and AI use cases.
• Apply data architecture, integration, and modeling practices to improve data quality, scalability, and platform performance.
• Collaborate with client teams and Deloitte colleagues to troubleshoot issues, implement enhancements, and support the delivery of large-scale data transformation programs.
• Lead projects or workstreams and coordinate across teams to meet objectives.

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 approximately 50 percent based on client engagements and industries served.
• Limited immigration sponsorship may be available.
• Minimum 2 years of overall experience.
• Ability to work independently as well as in a team environment.
• Effective written and verbal communication skills.
• Meticulous attention to detail and commitment to quality.
• Ability to build and sustain professional relationships.
• Ability to lead projects or workstreams.
• Ability to manage and prioritize multiple tasks in a fast-paced, dynamic environment.
• Strong interpersonal skills and professional demeanor.
• Ability to meet deadlines and provide clear guidance to others.

Technologies

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

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