ETL Developer - SME

Accenture Federal Services • Chantilly, VA

3d • $106,300 - $221,100

About The Position

Accenture Federal Services is seeking an ETL Developer – Subject Matter Expert (SME) to serve as the principal authority for enterprise data integration frameworks, data pipeline architecture, cross-enclave data interoperability, and secure data movement strategies. The role leads the design, development, and optimization of scalable ETL solutions, enterprise data warehouses, and business intelligence capabilities that support mission-critical analytics and investigations. It combines expertise in database engineering, Python development, cloud and container technologies, and enterprise data architecture while driving technical standards, modernization efforts, and secure data integration across complex environments.

The position requires a bachelor's degree, at least 10 years of relevant experience, US citizenship, and an active Top Secret security clearance. A master's degree and experience with cloud platforms, containers, secure or regulated environments, search indexing, data governance, or relevant certifications are preferred. The stated base pay range for the listed states and the District of Columbia is $106,300–$221,100 USD. Applications are accepted on an ongoing basis with no fixed deadline.

Requirements

• Bachelor's degree required.
• Minimum of 10 years of experience in relevant fields.
• Extensive experience designing enterprise ETL frameworks and data warehouse solutions.
• Advanced SQL expertise, including stored procedures and database performance optimization.
• Strong Python development experience supporting automation and data processing.
• Experience with DevSecOps practices, CI/CD pipelines, and source control platforms.
• Knowledge of enterprise architecture and secure data integration.
• Proven ability to lead technical initiatives and influence data strategies.
• US citizen.
• Active Top Secret security clearance.

Nice To Haves

• Master's degree in Computer Science, Data Engineering, Information Systems, or a related discipline.
• Experience supporting secure, multi-enclave, or highly regulated environments.
• Expertise in cloud data platforms such as AWS, Azure, or Google Cloud.
• Experience with Docker, Kubernetes, and containerized data processing environments.
• Knowledge of search indexing technologies and enterprise data governance.
• Relevant certifications in cloud, database, data engineering, or DevOps technologies.

Responsibilities

• Lead the design and development of scalable ETL solutions and enterprise data warehouses.
• Optimize data pipelines and business intelligence capabilities for mission-critical analytics.
• Drive technical standards and modernization efforts across complex environments.
• Ensure secure data integration and movement strategies across cross-enclave environments.
• Collaborate with cross-functional teams to influence enterprise-wide data strategies.
• Implement DevSecOps practices and CI/CD pipelines to enhance development processes.
• Leverage cloud and container technologies to support data processing and automation.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior