Data Engineering Lead — Architect Pipelines & Production

Huntington Bancshares, Inc.; Columbus (OH); On-site; USD 120,000 - 180,000; Full time

Job summary

Huntington Bank is seeking a Data Engineer Lead to build and operate enterprise data pipelines, ensure data quality, and drive analytics initiatives. You will supervise the team, mentor colleagues, and partner with data science and business analysts.

This role emphasizes productionizing pipelines, governance, and communicating complex results to technical and non-technical audiences, while delivering timely data solutions across the organization.

Qualifications

• Bachelor's Degree in computer science, statistics, related field, or relevant work experience.
• 7+ years of related experience in data management disciplines including data integration, modeling, optimization and data quality, and/or other areas directly relevant to data engineering responsibilities and tasks.
• 7+ years of experience with database programming languages and advanced analytics.

Responsibilities

• Architecting, creating and maintaining data pipelines.
• Assist with renovating the data management infrastructure to drive automation in data integration and management.
• Work with data science teams and business analysts to refine data requirements for data and analytics initiatives.
• Train counterparts across the organization in data pipelining and preparation techniques.
• Work with data governance teams and promote content to the curated data catalog for governed reuse.
• Communicate complex results to technical and non-technical audiences.
• Lead cross-functional teams and mentor team members.

Skills

Leadership

Communication

Data modeling

Data integration

Mentoring

Education

Bachelor's degree in computer science or related field

Master's degree in computer science or related field

Tools

AWS Glue

AWS Athena

BI software tools

Job description

Huntington Bank is seeking a Data Engineer Lead to build and operate enterprise data pipelines, ensure data quality, and drive analytics initiatives. You will supervise the team, mentor colleagues, and partner with data science and business analysts.

This role emphasizes productionizing pipelines, governance, and communicating complex results to technical and non-technical audiences, while delivering timely data solutions across the organization.