Senior Data Engineer

Role Overview

Elder Research seeks 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.

What You Will Do

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.

Why It Might Be a Fit

The ideal candidate brings deep engineering expertise and experience supporting analytics in large-scale production systems within regulated environments. Strong experience supporting analytics across legacy and modern enterprise platforms is required.

Requirements

• Bachelor of Science degree in a relevant field
• 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

Benefits

• Security Clearance Required – ACTIVE IRS MBI
• Health insurance
• Paid time off
• Retirement plan
• Clearance Requirements: Must currently possess an IRS Public Trust clearance with Full Background Investigation