Data Engineer III

Deloitte’s AI & Engineering team helps clients design, develop, and operate data and AI platforms across the Government & Public Services (GPS) practice. As a Data Engineer III onsite in Washington, DC, you’ll build relational and analytical database solutions, orchestrate data pipelines, and implement platform infrastructure and governance that support secure, reliable analytics for clients.

You will also work on transformation logic and governed data sources used for dashboards and reporting, including Tableau, while applying version-controlled CI/CD and infrastructure-as-code practices. The role includes platform design evaluations and client-facing training on data platforms and workflows.

What you’ll do

• Design, code, test, debug, and document relational and analytical database solutions focused on performance, scalability, security, and system integration
• Administer cloud-based database platforms with 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 tools such as Airflow and Dagster
• Maintain data documentation including data dictionaries, metadata, and data lineage
• Implement governed data sources and calculation logic for dashboards and reporting tools such as Tableau, including testing filters, parameters, and user interactions
• Develop infrastructure and delivery practices using infrastructure-as-code, configuration management, and containerized deployments
• Support version-controlled CI/CD using tools such as Terraform, Ansible, and Docker
• Conduct platform design evaluations, develop program plans and implementation approaches, design access models for auditability and separation of duties, and communicate tradeoffs around cost, performance, scalability, and reliability
• Train client personnel on data platforms and associated workflows

What you’ll need

• 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, plus building orchestration workflows with Apache Airflow or Dagster
• Experience developing transformation logic using SQL, Python, and dbt
• Experience with infrastructure-as-code, configuration management, and containerization using Terraform, Ansible, and Docker, including version-controlled CI/CD workflows
• Experience supporting backup, recovery, and disaster recovery planning for production database environments
• Ability to travel 10-15%, on average
• Must be legally authorized to work in the United States without employer sponsorship, now or in the future

Technologies you may work with

• SQL, Python, dbt, Airflow, Dagster, Tableau
• Terraform, Ansible, Docker, CI/CD
• Amazon Aurora, Snowflake, Amazon SageMaker, AWS GovCloud

Preferred

• Experience using 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, or FedRAMP requirements

Compensation

USD 107,700 - 179,500 per year.