Data Engineer

SNB Career•Sioux City, IA

14d•Onsite

About The Position

The Data Engineer develops and maintains the Bank's data infrastructure, integrations, and automation solutions. Working closely with business and technology partners, this role ensures data is secure, accurate, and accessible while enabling operational efficiency, supporting innovation, and building a scalable foundation for the Bank's future data and AI initiatives.

Requirements

Bachelor’s degree in Computer Science, Information Systems, or related field
Five or more years of relevant experience in data engineering, analytics, systems integration, application development or a related field is preferred.
Demonstrated success in cross-functional initiatives and enterprise system implementations.
Strong understanding of enterprise systems (ERP, CRM), data warehouses and related integrations.
Experience with application development technologies (e.g., C#, Python, JavaScript, SQL) and APIs.
Knowledge of systems integration architectures and data flows.
Strong analytical, problem-solving, and decision-making capabilities.
Excellent communication skills with both technical and non-technical audiences.
Understanding of secure application development and production environments.
Ability to translate business needs into technical solutions.

Responsibilities

Design, build, and maintain data pipelines and integrations across enterprise systems.
Support and enhance the Bank's centralized data architecture, including data warehouse and analytics environments.
Develop automated processes for extracting, transforming, validating, and loading data.
Ensure data solutions are reliable, scalable, well-documented, and aligned with best practices.
Promote data integrity, process efficiency, and effective system utilization.
Evaluate and implement technologies that improve efficiency, automation, and service delivery.
Partner on AI-enabled solutions, including applications utilizing AI, APIs, and automation tools.
Establish scalable technical standards to support future growth and innovation.
Contribute technical expertise and help build a strong data and analytics function.
Support data governance standards, data quality initiatives, and reporting consistency.
Maintain documentation for data sources, transformations, integrations, and reporting processes.
Ensure data solutions comply with security, access management, audit, and compliance requirements.
Apply secure development practices and establish controls that support data accuracy and integrity.