Senior Data Engineer: AI-Driven Reporting & Automation

Bank N.A.

Chicago (IL)

Hybrid

USD 120,000 - 180,000

Full time

5 days ago
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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

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.

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