Data Engineer

Job Description: Supports ECS/EAD (Enterprise Case Selection/Enterprise Anomaly Detection) data engineering efforts with a focus on automation and repeatable data processing workflows.
Builds automated data validation routines, ETL test harnesses, and monitoring scripts to ensure pipeline reliability, data integrity, and compliance with agency standards.
Implements ingestion and transformation components, integrates with cloud data services, and resolves pipeline defects through automated checks.
Collaborates with senior engineers, analysts, and cloud teams to ensure data flows are accurate, secure, and aligned with ECS/EAD modernization patterns.
Requirements: Bachelors Degree in Computer Science, Information Technology, Engineering, or a related field and 2 years of experience required. 4 additional years of experience required without a Bachelors degree
US Citizenship required
Must possess an active IRS MBI Clearance and have current GFE
Experience with the following: Python, SQL, ETL/ELT development, Test automation for data pipelines, Data quality automation, API integration, Airflow or workflow orchestration, AWS/Azure data services, CI/CD, Git Logging/monitoring tools, Agile delivery, Data validation frameworks, Cloud security basics
Excellent oral and written communication skills with client stakeholders at all organizational and technical levels
Prior experience working on Agile teams
Benefits: PTO available to use immediately upon joining (prorated based on start date)
paid parental leave
individual and family health, vision, and dental benefits
annual budget for training, professional development and tuition reimbursement
a 401(k) plan with company match fully vested after 60 days of employment