Required Clearance: Minimum Active Top Secret Clearance (Eligible for higher) 

Job Description: 
Summary
We are seeking a Senior Data Engineer to support financial crime investigations by developing and maintaining data pipelines, queries, and analytical tools that transform large, complex datasets into actionable insights. This role focuses on integrating data from multiple sources, ensuring data quality and accessibility, and enabling analysts through centralized dashboards and visualizations in a secure environment.
Responsibilities

• Design, develop, and maintain data pipelines to ingest and integrate data from internal systems and external agency partners
• Build and optimize complex queries and scripts to process large financial datasets
• Develop and manage centralized data stores ensuring data integrity, quality, and usability
• Implement APIs and automated processes to synchronize and update data across systems
• Create and maintain dashboards and visualizations to support investigative analysis
• Manage data access controls and maintain access lists in accordance with security requirements
• Perform data validation, cleansing, and reconciliation to ensure accuracy and consistency
• Troubleshoot data-related issues and optimize performance of data workflows
• Support ongoing enhancements and continuous improvement of data integration and analytics capabilities

Required Skills & Qualifications

• Strong experience in data engineering and analytics using SQL and Python
• Experience building and maintaining ETL/ELT pipelines and working with large datasets
• Proficiency in data integration using APIs and automated workflows
• Experience with data visualization tools (e.g., Tableau, Power BI, or similar)
• Strong understanding of data modeling, data quality, and data governance practices
• Ability to work with structured and unstructured data from multiple sources
• Experience working in secure or regulated environments with sensitive data
• Strong problem-solving skills and ability to support investigative or analytical use cases
• Bachelor’s degree or equivalent and up to eight (8) years of relevant experience.