Data Engineer III

Deloitte is seeking a Data Engineer III to support its AI & Data capability within the Government & Public Services (GPS) practice. In this onsite role based in Washington, DC, you will design, code, and operate relational and analytical database solutions, build data pipelines, and help implement infrastructure and governance for data platforms serving federal and public sector clients.

This position sits within Deloitte’s AI & Engineering team, where the focus spans platform development, governed data for reporting, and client-facing enablement across data and AI capabilities.

What you’ll do

• Design, code, test, debug, and document relational and analytical database solutions with attention to performance, scalability, security, and system integration needs
• Administer cloud-based database platforms, including 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 using Airflow and Dagster, and maintain data dictionaries, metadata, and data lineage
• Implement governed data sources and calculation logic for dashboard and reporting tools, including Tableau, with tested filters, parameters, and user interaction logic
• Develop infrastructure-as-code and configuration management for containerized deployment, and support version-controlled CI/CD practices using Terraform, Ansible, and Docker
• Conduct platform design evaluations, create program plans and implementation approaches, design access models supporting auditability and separation of duties, communicate tradeoffs across cost, performance, scalability, and reliability, and 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 orchestration workflows with Apache Airflow or Dagster; and developing transformation logic with SQL, Python, and dbt
• Experience with infrastructure-as-code, configuration management, and containerization tools including 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
• Must be legally authorized to work in the United States without employer sponsorship, now or in the future

Skills and experience

• Ability to work independently and collaborate in a team
• Effective written and verbal communication
• Meticulous attention to detail and quality of work product
• Ability to build and sustain professional relationships
• Ability to lead projects or workstreams
• Ability to manage and prioritize multiple tasks in a fast-paced environment
• Strong interpersonal skills and professional demeanor
• Ability to meet deadlines
• Ability to provide clear guidance to others

Technologies

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

Preferred experience

• 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 similar BI and data visualization platforms
• Experience supporting database platforms in a federal environment governed by FISMA, NIST, or FedRAMP requirements

Location: Washington, DC (onsite). Salary: USD 107,700 to 179,500 per year. Minimum experience: 7 years. Education: Bachelor’s degree.