Analyst II, Banking Automation Engineer

First National Bank•Omaha, NE

7d•$63,288 - $104,425•Hybrid

About The Position

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 services within Amazon Web Services (AWS), 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 how to leverage cloud environments to build resilient, maintainable automation solutions within a regulated banking environment.

Requirements

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
Bachelor’s degree in Computer Science, Information Systems, Data Analytics, or a related field
1–3+ years of experience in automation, data processing, or software development
Experience with Python or similar programming languages
Basic experience with SQL and relational databases
Foundational experience or exposure to Amazon Web Services (AWS) or similar cloud platforms
Unrestricted work authorization and not requiring future sponsorship

Nice To Haves

Hands-on experience deploying automation solutions in Amazon Web Services (AWS)
Experience with RPA tools such as Blue Prism
Familiarity with cloud data platforms such as Snowflake
Experience with workflow orchestration or scheduling tools
Familiarity with version control systems (e.g., Git)
Experience working in banking, financial services, or regulated environments

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., EventBridge, 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