Senior Data Engineer at Elder Research in Arlington, VA

Job description

• Elder Research Inc., a wholly owned subsidiary of MANTECH international Corporation seeks a motivated, career and customer-oriented Senior Data Engineer to join our team in Arlington, VA. This is a hybrid position with several days onsite over the course of a month.
• We are seeking a Senior Data Engineer to support the infrastructure and pipelines powering mission-critical fraud detection analytics. This role ensures reliable integration, execution, and performance of analytical workflows across both legacy and modern analytics environments.
• The ideal candidate brings deep engineering expertise and experience supporting analytics in large-scale production systems within regulated environments.

Responsibilities

• Design, develop, and maintain data pipelines and analytical infrastructure supporting fraud detection analytics.
• Integrate analytical models and rules into operational production systems.
• Ensure reliability and continuity of production analytics workflows during operational cycles.
• Support testing, validation, and migration of analytical models and logic across platforms.
• Perform data extraction, transformation, and feature engineering for large-scale analytics datasets.
• Collaborate with IT and platform teams to resolve data and infrastructure issues.
• Support modernization efforts to improve scalability and performance of analytical environments.
• Maintain documentation for data pipelines, analytical workflows, and system integrations.

Requirements

• Bachelor of Science degree in a relevant field such as statistics, computer science, economics, mathematics, analytics, data science, data engineering, business, or social sciences
• 8+ years of experience in data engineering, analytics engineering, or production analytics system support.
• 3+ years supporting analytics in fraud detection, compliance, identity theft, or similarly regulated environments.
• Strong experience supporting analytics across legacy and modern enterprise platforms.
• Expertise working with large and complex datasets in distributed environments.
• Proficiency with SQL, Python, and data engineering frameworks used in analytics development.
• Experience with Databricks, PostgreSQL, or comparable enterprise analytics platforms.
• Demonstrated ability to support data extraction, transformation, feature engineering, and model execution pipelines.
• Experience supporting testing, validation, troubleshooting, and migration of analytical logic and models.
• Must currently possess an IRS Public Trust clearance with Full Background Investigation
• Advanced degree (MS) in analytics, computer science, data science, mathematics, statistics, engineering, management information systems, decision science, or related fields
• Ability to coordinate effectively with IT teams, data scientists, and program stakeholders.
• Strong documentation and communication skills for technical and operational audiences.

Skills

Required

• SQL
• Python
• Data engineering frameworks
• Databricks
• PostgreSQL
• Data extraction
• Data transformation
• Feature engineering
• Model execution pipelines
• Testing
• Validation
• Troubleshooting

Preferred

• Documentation skills