Senior Data Engineer - Reporting Automation & AI

Bank N.A.; Chicago (IL); Hybrid; USD 120,000 - 180,000; Full time

Job summary

Bank N.A. is seeking a Senior Data Engineer - Reporting Automation & AI to design, build, and operate automated reporting solutions that enhance risk reporting.

You will develop AI-enabled workflows, Python and Shell apps, and modernize legacy processes for scalable, reliable outputs. The role focuses on migrating SAS-based processes to Python/Anaconda, creating optimized data marts for Power BI, and partnering with reporting teams to deliver accurate, timely insights.

Qualifications

• 5+ years in reporting automation or data development.
• 3+ years Python and Shell scripting.
• 3+ years integrating AI via APIs.
• 2+ years Power BI and Power Query.
• 4+ years dimensional modeling and data-warehouse concepts.
• SAS-to-Python migration experience is preferred.

Responsibilities

• Design, develop, and maintain automated reporting solutions for risk data.
• Build AI-enabled workflows to streamline data prep, validation, and reporting.
• Develop Python and Shell applications to support automation and monitoring.
• Modernize legacy reporting into scalable pipelines; migrate SAS to Python.
• Design data marts and star schemas for Power BI consumption.
• Tune SQL queries for accurate, high-performing outputs.
• Collaborate with data-reporting teams and communicate tradeoffs clearly.

Skills

Advanced SQL

Python

Shell scripting

Power BI

Power Query

Git

Dimensional modeling

SAS migration

Data automation

Stakeholder comms

Education

Bachelor's degree

MS in Data Science

Tools

Anaconda

SQL Server

Airflow

API integration

Job description

Application Deadline: 11/12/2026

Address: 320 S Canal Street

Job Family Group: Technology

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.

This is a net-new hybrid role based in Downtown Chicago. The successful candidate will work from the Chicago office 3 days per week, with Tuesday as a required in-office day.

KEY RESPONSIBILITIES:

• 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.
• Modernize manual and legacy reporting processes into scalable automated pipelines, including migration from SAS-based processes to Anaconda and Python-based solutions.
• Design optimized data marts and star schemas for Power BI consumption.
• Develop and tune SQL queries to deliver accurate, high-performing risk-reporting outputs.
• Partner with data-reporting teams to ensure data structures and outputs support effective reporting and visualization.
• Communicate technical ideas, tradeoffs, and solutions clearly to technical stakeholders.

SKILLS AND QUALIFICATIONS :

• 5+ years of hands-on professional work experience in reporting automation or data development, including advanced SQL with complex views, stored procedures, and performance tuning.
• 3+ years of experience using both Python and Shell scripting to automate reporting workflows and build supporting applications.
• 3+ years of experience integrating AI functionality into existing processes through APIs or comparable AI-enabled workflow tooling.
• 2 year of experience with Power BI and Power Query.
• 2 year of experience using Git for version control.
• 4+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.

WHAT THE SUCCESSFUL CANDIDATE WILL TACKLE

During the first several months, the successful candidate will build familiarity with the existing code, risk data, and reporting processes.

This person will help advance data and code migration away from SAS and toward Anaconda- and Python-based solutions while improving the reliability and automation of reporting workflows.

Additional Information:

• Provides production and end-user support and governance for the risk technical platform and system environment that supports risk data & control structures (e.g. process controls, user access controls, data integrity controls) to enable risk processes and operations.
• Supports and oversees the planning, maintenance and change management for risk system strategies, process changes, system parameter changes, production schedules, and operational tasks.
• Oversees the management of system parameter changes.
• Works with stakeholders to resolve issues and provide solutions that ensure service delivery and effectiveness.
• Acts as a trusted advisor to assigned business/group.
• Influences and negotiates to achieve business objectives.
• Recommends and implements solutions based on analysis of issues and implications for the business.
• Assists in the development of strategic plans.
• Identifies emerging issues and trends to inform decision-making.
• Researches existing or emerging requirements & related best practices to assist and develops recommendations for changes/enhancements.
• Helps determine business priorities and best sequence for execution of business/group strategy.
• Conducts independent analysis and assessment to resolve strategic issues.
• Supports the planning and execution of system management infrastructure planning and development activities for a designated portfolio.
• Supports development and execution of strategic initiatives in collaboration with internal and external stakeholders including product enhancements; Initiative areas can include intake, requirements, design, development, testing, simulation, sign-offs, production and post