Databricks Data Engineer

Take on the role of a Databricks Data Engineer with Deloitte, embedded in the Core AI & Data practice in Arlington, VA. This on-site position focuses on designing, building, and optimizing cloud-based data solutions with Databricks to enable large-scale transformations, analytics, and AI use cases. The role carries a salary range of USD 86,700 to 170,900 per year and requires a bachelor’s degree along with hands-on experience, starting from two years and up.

Responsibilities

• Design, build, and maintain data pipelines and data engineering solutions using Databricks, Apache Spark, Python, and SQL
• Support the 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 artificial intelligence 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

Skills and attributes

• Ability to work independently and collaborate as part of a team
• Effective written and verbal communication skills
• Meticulous attention to detail and quality of work product
• Ability to build and sustain professional relationships
• Ability to lead projects or workstreams
• Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
• Strong interpersonal skills and professional demeanor
• Ability to meet deadlines
• Ability to provide clear guidance to others

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 the work and clients served
• Limited immigration sponsorship may be available

Technologies

• Databricks
• Apache Spark
• Python
• SQL
• Delta Lake
• Databricks Workflows
• Unity Catalog
• Git-based version control
• CI/CD pipelines
• AWS
• Azure
• GCP

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

Information for applicants with a need for accommodation is available at the following page: Accommodation information for disabled applicants.