The Databricks Data Engineer II role at Deloitte focuses on designing and optimizing cloud-based data pipelines and platforms to support analytics and AI initiatives. You will collaborate with business and technology teams to modernize data environments and enable data-driven decision making.
Job Details
- Location: Boston, MA (onsite)
- Salary: USD 86,700 - 170,900 per year
- Minimum experience: 3 years
- Education: Bachelor's degree in Computer Science, Engineering, Information Systems, Data Science, Mathematics, or Statistics
Role Overview
The role centers on designing, building, and refining Databricks based data pipelines and engineering solutions to support analytics and artificial intelligence initiatives. It emphasizes cloud-native data ingestion, transformation, and storage patterns to modernize enterprise data platforms.
Responsibilities
- Architect and implement data pipelines and engineering solutions using Databricks, Apache Spark, Python, and SQL
- Assist in modernizing enterprise data platforms by applying cloud-based ingestion, transformation, and storage patterns
- Create and maintain batch and streaming workflows that support reporting, analytics, and AI use cases
- Apply data architecture, integration, and modeling practices to improve data quality, scalability, and performance
- Collaborate with client and Deloitte teams to troubleshoot issues, implement enhancements, and support large-scale data transformation programs
Requirements
- Ability to work independently and as part of a team
- Strong written and verbal communication skills
- Attention to detail and a commitment to quality
- Demonstrated ability to build and maintain professional relationships
- Capability to lead projects or workstreams
- Skill in managing multiple tasks in a fast-paced environment
- Professional demeanor and strong interpersonal skills
- Ability to meet deadlines and deliver results
- Ability to provide clear guidance to others
- 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 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 Google Cloud Platform (GCP)
- Ability to travel approximately 50% depending on assignments
- Limited immigration sponsorship may be available
Technologies
- Databricks
- Apache Spark
- Python
- SQL
- Delta Lake
- Databricks Workflows
- Unity Catalog
- Git
- CI/CD pipelines
- AWS
- Azure
- Google Cloud Platform (GCP)
The Team
Deloitte's Core AI and Data practice helps organizations modernize data platforms, reinforce enterprise data foundations, and scale analytics and AI capabilities across the business. The team architects, engineers, and deploys cloud-based data solutions to improve decision-making, foster innovation, and support large-scale transformations. Practitioners collaborate across business and technology functions to address complex data modernization challenges.
Information for Applicants with a Need for Accommodation
For applicants requiring accommodations, Deloitte provides assistance. See the following page for details: Join Deloitte: Assistance for Disabled Applicants.
