ETL Developer | SME
Listed on 2026-10-29
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IT/Tech
Data Engineering, Cloud Computing: Infrastructure & Operations
Location: Chantilly, VA
Security Clearance: Active TS or higher [Required]
Job Type: Full-Time
Target Salary Range*:$145,000 - $190,000
* This represents the potential salary range for this position depending on education level, years of experience and/or certifications in addition to other position specific requirements which may impact salary
Position OverviewThe ETL Developer (SME) designs, develops, and maintains scalable data integration frameworks and business intelligence solutions that enable cyber professionals to analyze case data and advance investigations. This role builds efficient extract, transform, and load (ETL) pipelines, optimizes database performance, and applies Dev Sec Ops practices to support accurate, reliable data processing. The developer collaborates with data architects, Dev Ops teams, and infrastructure specialists to support applications across multi-enclave environments and advance enterprise data warehousing practices.
Key Responsibilities Data Integration and ETL Development- Design, develop, and maintain scalable data integration frameworks and business intelligence solutions.
- Architect ETL pipelines and data mappings to extract, transform, and load complex datasets.
- Integrate modern data pipeline architectures and search indexing technologies to support enterprise data warehousing and cross-functional system integration.
- Write complex database scripts, stored procedures, triggers, and views.
- Conduct performance tuning to ensure data accuracy, processing efficiency, and system reliability.
- Apply advanced Python proficiency to data integration and application development.
- Implement Dev Sec Ops practices, including automation, version control, testing frameworks, and CI/CD workflows.
- Collaborate with data architects, Dev Ops teams, and infrastructure specialists to support and maintain applications deployed across multi-enclave environments.
- Integrate containerized environments and cloud platforms into data pipeline and application architectures.
- Minimum of 10 years of experience.
- Advanced Python proficiency.
- Ability to develop complex database scripts, stored procedures, triggers, and views.
- Knowledge of ETL pipelines, data mappings, and database performance tuning.
- Knowledge of Dev Sec Ops practices, including automation, version control, testing frameworks, and CI/CD workflows.
- Technical capabilities supporting modern data pipeline architectures, containerized environments, cloud platforms, and search indexing technologies.
- Ability to collaborate across data architecture, Dev Ops, and infrastructure teams supporting multi-enclave applications.
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