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# Data Engineer III

- **Company:** Deloitte T.T.L.
- **Location:** United States
- **Experience:** Expert
- **Salary:** $107,700.0 - $179,500.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Configuration Management, Cyber Security, Databases, Continuous Integration, Global Positioning Systems (GPS), Interaction Design, Operational Databases, Ansible, Tableau (Software), Snowflake, Data Lineage, Data Analytics, Data Management, Tools for Reporting, Terraform, Docker
- **Published:** October 9, 2026
- **Apply:** https://apply.deloitte.com/en_US/careers/Login?jobId=370658

## About the Role

* Ability to work independently and collaborate as part of a team
 * Effective written and verbal communication skills
 * 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 and dynamic environment
 * Strong interpersonal skills and professional demeanor
 * Ability to meet deadlines
 * Ability to provide clear guidance to others, Required:
 * 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 Structured Query Language (SQL), Python, and dbt transformation logic
 * Experience using infrastructure-as-code, configuration-management, and containerization tools, including Terraform, Ansible, and Docker; building version-controlled continuous integration and continuous deployment (CI/CD) workflows; and supporting backup, recovery, and disaster-recovery planning for production database environments
 * Ability to travel 10-15%, on average, based on the work you do and the clients and industries/sectors you serve
 * Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future

Preferred:

 * 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 the Federal Information Security Modernization Act (FISMA), National Institute of Standards and Technology (NIST) requirements, or Federal Risk and Authorization Management Program (FedRAMP) requirements

## Description

* Design, code, test, debug, and document relational and analytical database solutions that address 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 tools such as 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, and test filters, parameters, and user interactions
 * Develop infrastructure-as-code, configuration-management, containerized deployment, and version-controlled continuous integration and continuous deployment (CI/CD) practices using tools such as Terraform, Ansible, and Docker
 * Perform platform design evaluations and develop program plans and implementation approaches; design access models that support auditability and separation of duties; communicate cost, performance, scalability, and reliability tradeoffs; and train client personnel on data platforms and workflows