Overview
On Site
Full Time
Skills
Banking
Data Architecture
Machine Learning Operations (ML Ops)
Artificial Intelligence
Use Cases
Data Management
Collaboration
IT Governance
Regulatory Compliance
Auditing
Embedded Systems
Data Stewardship
Business Process
Continuous Improvement
Design Patterns
Computer Science
Information Systems
Data Engineering
SQL
Python
Snow Flake Schema
Meta-data Management
Data Quality
Data Governance
FFIEC
Management
Agile
DevOps
Immigration
Job Details
Make banking a Fifth Third better
We connect great people to great opportunities. Are you ready to take the next step? Discover a career in banking at Fifth Third Bank.
Job Description
Position Summary
We are seeking a technically skilled and governance-aware Data Engineer to join our Enterprise Data Office. This role is central to implementing and scaling automated data management capabilities across our modern data architecture. The ideal candidate will bring deep technical expertise in data engineering while embedding governance controls directly into data pipelines and products. The candidate will be directly aligned to large scale Bancorp modernization efforts, Category 3 readiness, Machine learning operations, and AI use case enablement.
Key Responsibilities
Required Qualifications
Preferred Qualifications
Position is not available for immigration sponsorship.
Lead Data Engineer
LOCATION -- Cincinnati, Ohio 45202
Fifth Third Bank, National Association is proud to have an engaged and inclusive culture and to promote and ensure equal employment opportunity in all employment decisions regardless of race, color, gender, national origin, religion, age, disability, sexual orientation, gender identity, military status, veteran status or any other legally protected status.
We connect great people to great opportunities. Are you ready to take the next step? Discover a career in banking at Fifth Third Bank.
Job Description
Position Summary
We are seeking a technically skilled and governance-aware Data Engineer to join our Enterprise Data Office. This role is central to implementing and scaling automated data management capabilities across our modern data architecture. The ideal candidate will bring deep technical expertise in data engineering while embedding governance controls directly into data pipelines and products. The candidate will be directly aligned to large scale Bancorp modernization efforts, Category 3 readiness, Machine learning operations, and AI use case enablement.
Key Responsibilities
- Design, build, and maintain scalable, automated data pipelines using tools such as dbt, Snowflake, and Elevate.
- Implement and operationalize data management capabilities including data quality, lineage, classification, and monitoring across all data domains-not just critical data elements.
- Collaborate with IT Governance, Risk, and Compliance teams to ensure alignment with regulatory and audit requirements.
- Embed governance controls into data products at the point of creation, enabling federated and automated governance models.
- Support the enterprise-wide transition from manual, white-glove governance to embedded, automated data stewardship.
- Partner with data product owners and business SMEs to ensure data solutions are discoverable, reusable, and aligned to business processes.
- Contribute to the continual improvement of our modern data strategy by adopting reusable design patterns and scalable architecture principles
Required Qualifications
- Bachelor's degree in Computer Science, Information Systems, or related field.
- 4+ years of experience in data engineering, preferably in a regulated industry.
- Proficiency in SQL, Python, and modern data stack tools (e.g., dbt, Snowflake, Airflow).
- Experience with data cataloging, metadata management, and data quality frameworks.
- Familiarity with data governance frameworks (e.g., DCAM) and regulatory data requirements (e.g., FR Y-9C, FFIEC 031).
- Strong understanding of data lineage, data classification, and lifecycle monitoring.
Preferred Qualifications
- Experience transitioning from governance-focused roles to engineering-focused delivery.
- Knowledge of enterprise data certification processes and critical data element (CDE) management.
- Exposure to Agile methodologies and DevOps practices in data environments.
Position is not available for immigration sponsorship.
Lead Data Engineer
LOCATION -- Cincinnati, Ohio 45202
Fifth Third Bank, National Association is proud to have an engaged and inclusive culture and to promote and ensure equal employment opportunity in all employment decisions regardless of race, color, gender, national origin, religion, age, disability, sexual orientation, gender identity, military status, veteran status or any other legally protected status.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.