Data Engineer - Data Engineer III
Analytics
Ansible
Apache Airflow
Business Intelligence
CI/CD
Cloud Infrastructure
Cloud Native
Cloud Platform
Cloud Platforms
Cloud Technology
Data
Data Analysis
Data Analytics
Data Architecture
Data Build Tool
Data Engineer
Data Engineering
Data Integration
Data Management
Data Modeling
Data Operations
Data Pipeline
Data Pipelines
Data Platform
Data Processing
Data Transforms
Data Visualization
Data Warehouse
Database
Databases
Dbt
Design
DevOps
Devops Tools
DevSecOps
Digital Marketing
Engineer
Engineering
ETL
Informatica
Information Technology (IT)
Infrastructure As Code
Platform Engineering
Reporting and Analytics
Software Development
SQL
Visual Design
Job Description
Deloitte’s Government & Public Services (GPS) practice brings together people, ideas, technology, and outcomes focused on real impact. Within Deloitte’s AI & Data offering, this Data Engineer III role supports the design, development, and operations of data and AI platforms, products, insights, and services. If you enjoy building reliable data foundations, governed reporting data sources, and production-ready pipelines, this onsite position in Rosslyn, VA offers an opportunity to work across relational and analytical database solutions, cloud administration, and platform enablement.
What you’ll do
- Design, code, test, debug, and document relational and analytical database solutions aligned 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 Apache Airflow and Dagster, while maintaining 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 and configuration management practices with version-controlled CI/CD, using tools such as Terraform, Ansible, and Docker.
- Evaluate platform designs, create program plans and implementation approaches, design access models for auditability and separation of duties, and communicate cost, performance, scalability, and reliability tradeoffs.
- Support client enablement by training 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 pipeline orchestration workflows with Apache Airflow or Dagster; and 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 and support for 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 at any time in the future
Location: Rosslyn, VA (onsite) | Salary range: USD 107,700 - 179,500 per year
Technology areas 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 other business intelligence and data visualization platforms
- Experience supporting database platforms in a federal environment governed by FISMA, NIST requirements, or FedRAMP requirements