Cloud Data Engineer
Role details
Job location
Tech stack
Job description
- Design and build scalable ETL/ELT pipelines on AWS using Databricks, Spark, Python, and SQL.
- Integrate AWS services (S3, Redshift, Glue, Lambda, EMR, DMS) for ingestion, transformation, storage, and orchestration.
- Develop and optimize Databricks workflows and Spark jobs for batch and streaming processing.
- Ensure data quality, governance, and security through validation, monitoring, and access controls.
- Collaborate with analysts, data scientists, and stakeholders to translate requirements into technical solutions.
- Tune and troubleshoot SQL/Spark performance and mentor junior engineers on best practices.
The Team
Deloitte's Government & Public Services (GPS) practice - our people, ideas, technology and outcomes - is designed for impact. Serving federal, state, & local government clients as well as public higher education institutions, our team of professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise.
Our AI & Data offering provides a full spectrum of solutions for designing, developing, and operating cutting-edge Data and AI platforms, products, insights, and services. Our offerings help clients innovate, enhance and operate their data, AI, and analytics capabilities, ensuring they can mature and scale effectively.
The Project Delivery Talent Model is designed for professionals with specialized skills that align to a current client need. Team members focus on delivering services to clients, without additional expectations related to business development or promotion. Their employment is tied to their role on a project, and they are eligible for a benefits package that is competitive for project delivery-focused professionals.
Requirements
- Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field.
- Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.
- Active Public Trust Clearance.
- Ability to travel 0-25%, on average, based on the work you do and the clients and industries/sectors you serve.
- 5+ years of AWS S3 experience
- Minimum 5 years of hands-on experience in data engineering or related roles; previous leadership or mentorship experience a strong plus.
- 5+ years of experience with AWS (must be comfortable with S3, DMS, Glue etc).
- 5+ years of experience with Databricks & Spark
- 2+ years of experience with Python for data processing and workflow automation.
