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Analyst II, Banking Automation Engineer

Job in Omaha, Douglas County, Nebraska, 68197, USA
Listing for: First National Bank of Omaha
Full Time position
Listed on 2026-07-09
Job specializations:
  • Software Development
    Python, AWS, Data Engineering
Salary/Wage Range or Industry Benchmark: 63288 - 104425 USD Yearly USD 63288.00 104425.00 YEAR
Job Description & How to Apply Below

At FNBO, our employees are the heart of our story, and we are committed to their success. Please review the details of this career opportunity and how it fits into our organization’s success.

Summary of the Job

The Banking Automation Engineer is responsible for designing, building, and maintaining automated solutions that improve efficiency, reduce manual processes, and enhance operational accuracy across key banking functions such as Risk, Operations, Finance, and Treasury. This role develops automation solutions using Python, RPA tools, and cloud‑based technologies, including AWS services, to support scalable and production‑ready workflows. The Banking Automation Engineer partners with Senior Banking Automation Engineers and cross‑functional teams to deliver reliable automation solutions that integrate with enterprise data platforms and reporting tools.

The ideal candidate combines technical skills with a process‑improvement mindset and has a foundational understanding of leveraging cloud environments to build resilient, maintainable automation solutions within a regulated banking environment.

Job Responsibilities
  • Design, develop, and implement automation solutions using Python, RPA tools (e.g., Blue Prism), and workflow platforms
  • Build automation scripts to support data processing, reporting workflows, and operational processes
  • Translate defined requirements into efficient, scalable, and maintainable automation solutions
  • Develop and deploy automation workflows using services within Amazon Web Services (AWS)
  • Utilize AWS services such as:
    • Compute (e.g., Lambda, EC2) for running automation processes
    • Storage (e.g., S3) for handling input/output data
    • Scheduling and orchestration (e.g., Event Bridge, Step Functions)
  • Support secure access and integration with internal systems while adhering to enterprise security and compliance standards
  • Identify opportunities to eliminate manual, repetitive tasks across reporting and operational processes
  • Partner with Senior Banking Automation Engineers and stakeholders to improve process design prior to automation
  • Test automation solutions to ensure accuracy, completeness, and reliability
  • Validate outputs against source systems and business expectations
  • Support deployment of automation solutions into production environments (including AWS‑based deployments) and monitor performance
  • Work with structured data using SQL and cloud platforms such as Snowflake
  • Document automation logic, workflows, and AWS architecture for maintainability and auditability
  • Follow established coding standards, naming conventions, and version control practices
  • Ensure compliance with internal controls, audit requirements, and regulatory expectations
  • Work closely with Senior Banking Automation Engineers, Data Analysts, and Data Engineers to support end‑to‑end solutions
  • Participate in intake and discovery processes to understand automation requirements
  • Provide support and troubleshooting for existing automation processes
The Ideal Candidate for This Role Knowledge,

Skills and Abilities
  • Foundational understanding of automation concepts, including scripting, RPA, and workflow automation
  • Basic understanding of cloud computing concepts, particularly within Amazon Web Services (AWS)
  • Understanding of data structures, relational databases, and data processing concepts
  • Proficiency in Python for automation, data processing, and scripting
  • Experience or exposure to RPA tools such as Blue Prism
  • Basic to intermediate SQL skills for querying and validating data
  • Ability to work with AWS services such as:
    • Lambda, S3, EC2, or similar cloud services
  • Strong problem‑solving skills with attention to detail and accuracy
  • Ability to debug, troubleshoot, and optimize automation workflows
  • Ability to translate requirements into scalable automation solutions (local and cloud‑based)
  • Ability to follow structured development, testing, and deployment processes
  • Ability to manage multiple tasks and meet deadlines in a fast‑paced environment
  • Ability to collaborate effectively with technical and non‑technical stakeholders
  • Strong willingness to learn and adapt to new tools, technologies, and cloud platforms
Required
  • Bachelor's degree in Computer Science,…
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