Databricks Data Engineer

Deloitte is seeking a Databricks Data Engineer to design, build, and optimize cloud-based data engineering solutions that modernize data platforms. You will collaborate with business and technology teams to enable large-scale analytics and AI use cases, delivering measurable business outcomes. The role is onsite in McLean, VA, with a salary range of USD 86,700 to 170,900 per year and requires a bachelor’s degree with at least two years of relevant experience.

Responsibilities

• Develop and sustain data pipelines and engineering solutions using Databricks, Apache Spark, Python, and SQL.
• Support modernization efforts of enterprise data platforms by implementing cloud-based ingestion, transformation, and storage patterns.
• Create and manage batch and streaming data workflows that support reporting, analytics, and AI initiatives.
• 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
• Minimum of three years of experience in data engineering, ETL development, or data platform engineering
• At least two 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 up to 50% on average based on client work and engagement
• Limited immigration sponsorship may be available

Technologies

• Databricks
• Apache Spark
• Python
• SQL
• AWS, Azure, GCP
• Delta Lake
• Databricks Workflows
• Unity Catalog
• Git
• CI/CD pipelines

Qualifications Required

• 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 up to 50% on average based on client work and engagements
• Limited immigration sponsorship may be available

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