Deloitte is hiring a Data Engineer III for its AI & Engineering team. The position focuses on designing, building, and administering relational and analytical database solutions, data pipelines, and governed reporting data sources within an onsite environment in Rosslyn, VA.
Role Summary
The Data Engineer III will develop database and data platform capabilities across performance, scalability, security, and system integration. The role includes cloud database administration, infrastructure-as-code and CI/CD practices, and support for platform design and client enablement.
Responsibilities
- Design, code, test, debug, and document relational and analytical database solutions aligned to performance, scalability, security, and system integration requirements
- 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 using Airflow and Dagster; maintain data dictionaries, metadata, and data lineage
- Implement governed data sources and calculation logic for dashboarding and reporting tools, including Tableau, and support testing of filters, parameters, and user interactions
- Develop infrastructure-as-code, configuration management, containerized deployments, and version-controlled CI/CD practices using Terraform, Ansible, and Docker
- Evaluate platform design options and develop program plans and implementation approaches, including access model design for auditability and separation of duties; communicate tradeoffs related to cost, performance, scalability, and reliability; 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; and developing SQL, Python, and dbt transformation logic
- Experience with infrastructure-as-code, configuration management, and containerization, 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 based on client needs and industries/sectors served
- Legally authorized to work in the United States without employer sponsorship, now or in the future
Technologies
- SQL
- Python
- dbt
- Airflow
- Dagster
- Tableau
- Terraform
- Ansible
- Docker
Preferred Qualifications
- Experience using Amazon Web Services (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
Team
Deloitte’s Government & Public Services (GPS) practice is designed for impact. Within Deloitte, the AI & Data offering provides a full spectrum of solutions for designing, developing, and operating cutting-edge data and AI platforms, products, insights, and services.
Location, Compensation, and Experience
- Location: Rosslyn, VA (onsite)
- Salary: USD 107,700 - 179,500 per year
- Minimum Experience: 7 years
- Education: Bachelor’s degree
