Data Engineer - Data Engineer III

Deloitte’s Government & Public Services (GPS) practice brings together people, ideas, technology, and outcomes to support meaningful impact. Within the AI & Data offering, the Data Engineering team works across the full spectrum of designing, developing, and operating Data and AI platforms, products, insights, and services.

This onsite role in Rosslyn, VA supports delivery of governed data solutions for relational and analytical database platforms, data pipelines, and reporting data sources. If you focus on performance, reliability, and secure data operations, this position connects database engineering with platform enablement for clients.

What you’ll do

• Design, code, test, debug, and document relational and analytical database solutions to meet performance, scalability, security, and system-integration requirements
• Administer cloud-based database platforms using role-based access controls, schema management, performance tuning, capacity planning, and backup, recovery, and disaster-recovery practices
• Extract, parse, validate, and transform structured and unstructured data using parameterized SQL, Python, and dbt; build and maintain data pipeline orchestration workflows with Airflow and Dagster; maintain data dictionaries, metadata, and data lineage
• Implement governed data sources and calculation logic for dashboard and reporting tools, including Tableau, and test filters, parameters, and user interactions
• Develop infrastructure-as-code, configuration management, and containerized deployment; support version-controlled CI/CD practices using Terraform, Ansible, and Docker
• Conduct platform design evaluations, create program plans and implementation approaches, and design access models for auditability and separation of duties; communicate cost, performance, scalability, and reliability tradeoffs; train client personnel on data platforms and workflows

Required qualifications

• Bachelor’s degree
• Ability to obtain and maintain the required clearance for this role
• 7+ years of experience designing and coding databases for big data and administering cloud-based relational and analytical database platforms, including role-based access control and schema management
• Experience designing databases for performance, scalability, security, and system integration; building and maintaining data pipeline orchestration workflows using Apache Airflow or Dagster; developing SQL, Python, and dbt transformation logic
• Experience with infrastructure-as-code, configuration management, and containerization using Terraform, Ansible, and Docker; building version-controlled CI/CD workflows; and supporting backup, recovery, and disaster-recovery planning for production database environments
• Ability to travel 10-15% on average based on work, clients, and industries/sectors served
• Must be legally authorized to work in the United States without employer sponsorship, now or in the future

Tools you’ll work with

• SQL, Python, dbt, Airflow, Dagster, Tableau, Terraform, Ansible, Docker

Preferred experience

• Experience with AWS GovCloud database and analytics services, including Amazon Aurora, Snowflake, and Amazon SageMaker
• Experience implementing governed data sources and calculation logic for Tableau or business intelligence and data visualization platforms
• Experience supporting database platforms in a federal environment governed by FISMA, NIST requirements, or FedRAMP requirements

Location: Rosslyn, VA (onsite)

Compensation: USD 107,700 - 179,500 per year