Senior Data Engineer – Reporting Automation & AI

Role Overview

The Senior Data Engineer – Reporting Automation & AI designs, develops, and maintains automated reporting solutions that improve the efficiency, accuracy, and scalability of risk-reporting processes. This role combines reporting automation, AI-enabled workflows, application development, and technical problem solving to modernize legacy processes and support future-state reporting platforms.

What You Will Do

Design, develop, and maintain automated reporting solutions that improve the efficiency, accuracy, and scalability of risk-reporting processes. Build and integrate AI-enabled workflows that streamline data preparation, validation, and report generation. Develop and maintain Python and Shell applications and scripts that support reporting automation, monitor system health, and improve operational reliability.

Why It Might Be a Fit

The successful candidate will work closely with risk-reporting teams to translate manual, fragmented processes into reliable automated pipelines. This person will serve as the technical bridge between raw risk data and the accurate, timely reports stakeholders rely on.

Requirements

• 4+ years of hands-on professional work experience in reporting automation or data development, including advanced SQL with complex views, stored procedures, and performance tuning.
• 2+ years of experience using both Python and Shell scripting to automate reporting workflows and build supporting applications.
• 2+ years of experience integrating AI functionality into existing processes through APIs or comparable AI-enabled workflow tooling.
• 1 year of experience with Power BI and Power Query.
• 1 year of experience using Git for version control.
• 3+ years of experience with dimensional modeling and modern data-warehouse concepts.
• Experience modernizing legacy reporting or data processes; SAS-to-Python migration experience is strongly preferred.
• Ability to work independently, take initiative, and manage technical work with limited day-to-day direction.
• Strong collaboration and communication skills, including the ability to work effectively with data-reporting teams and explain technical ideas concisely.

Benefits

• Health insurance
• Tuition reimbursement
• Accident and life insurance
• Retirement savings plans