Data Engineer II — Lending Data & Analytics

Huntington National Bank; Columbus (OH); On-site; USD 95,000 - 125,000; Full time

Job summary

Huntington National Bank is seeking a Data Engineer II to support reporting, analytics, and regulatory data solutions for the Home Lending organization. The role collaborates with stakeholders to deliver scalable data pipelines and datasets, leveraging SQL Server, Snowflake, and SAS for critical business functions.

The ideal candidate has 4+ years in data engineering, strong SQL, and experience translating business needs into technical solutions, with a focus on data quality and production

Qualifications

• Bachelor’s degree in computer science, statistics or related field, or equivalent work experience.
• 4+ years of data engineering, database development, ETL/ELT, BI, or related tech.
• 4+ years of SQL development and relational database experience.
• 3+ years translating business requirements into technical solutions.
• 3+ years supporting and troubleshooting production data solutions.

Responsibilities

• Analyze, design, develop, test, implement, and support data solutions per business requirements.
• Partner with stakeholders to gather requirements and translate needs into scalable solutions.
• Design, develop, and maintain data pipelines, integrations, and transformations.
• Develop and support solutions using SQL Server, Snowflake, SAS, and related data tech.
• Create and maintain data mappings, process flows, and technical documentation.

Skills

SQL development

Data engineering

ETL/ELT development

BI tooling

Python/PowerShell/VBA

Education

Bachelor’s Degree in computer science or related field

Tools

Snowflake

SAS

Power BI

Tableau

Encompass

Job description

Huntington National Bank is seeking a Data Engineer II to support reporting, analytics, and regulatory data solutions for the Home Lending organization. The role collaborates with stakeholders to deliver scalable data pipelines and datasets, leveraging SQL Server, Snowflake, and SAS for critical business functions.

The ideal candidate has 4+ years in data engineering, strong SQL, and experience translating business needs into technical solutions, with a focus on data quality and production