Data Engineer II

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GENERAL FUNCTION:

The Data Engineer II designs and builds data platforms, tools, and solutions that enable the Bank to manage, secure, and extract value from its data. This role develops scalable, reusable solutions for collecting, storing, processing, and serving data across both traditional and modern architectures. Engineers work across on-premises and cloud-based environments to deliver reliable, secure, and well-governed data capabilities. The role includes leveraging AI-assisted engineering capabilities to improve productivity, code quality, testing, and documentation, while developing trusted data assets that support analytics, artificial intelligence, and machine learning use cases. Data Engineers II grow their individual capabilities by delivering well-defined solutions with guidance as needed and contributing to the effectiveness of their team through collaboration, knowledge sharing, and continuous learning.

 

Responsible and accountable for risk by openly exchanging ideas and opinions, elevating concerns, and personally following policies and procedures as defined. Accountable for always doing the right thing for customers and colleagues while ensuring that actions and behaviors drive a positive customer experience. While operating within the Bank's risk appetite, achieves results by consistently identifying, assessing, managing, monitoring, and reporting risks of all types.

 

ESSENTIAL DUTIES & RESPONSIBILITIES:

- Contribute to the design, development, and support of scalable data solutions, APIs, tools, and processes that enable rapid delivery of business capabilities across both traditional and modern data platforms.

- Work with IT application teams, Enterprise architecture, infrastructure, information security, and LOB stakeholders to translate defined business and technical requirements into data-driven solutions for the Bank.
- Apply growing technical expertise to address problems related to system and application design, performance, integration, security, and related areas, seeking guidance for more complex issues.
- Conduct research and development based on current trends and technologies related to the banking industry, data engineering and architecture, data security, AI-readiness, and related topics.
- Contribute to building and maintaining CI/CD pipelines and self-service deployment tools to streamline development and operations.

- Assist with evaluating data and software products and documenting recommendations as needed.

- Support data solutions throughout their lifecycle, including design, development, testing, deployment, monitoring, operational support, modernization, and retirement.

- Provide support and troubleshooting for data pipelines and platforms, including participation in incident response and resolution for critical production issues.

- Participate in planning and execution of internal projects, including but not limited to, legacy system modernizations, modernizing data pipelines, monitoring, and documentation improvements.

- Optimize and automate data pipelines for efficiency, scalability, observability, and performance.

- Develop and maintain automated testing, validation, reconciliation, and data quality controls to ensure reliable, trusted, and production-ready data solutions.

- Leverage approved AI-assisted engineering capabilities to improve productivity, code quality, testing, documentation, and problem solving, while supporting the delivery of trusted data assets for analytics, artificial intelligence, and machine learning solutions.

- Apply a data product mindset within assigned work by supporting the lifecycle of data assets and following established expectations for ownership, quality, discoverability, documentation, lineage, and governance.

- Build relationships, learn from other engineers, share knowledge, and contribute to the overall effectiveness and growth of the team.

- Manage and prioritize multiple assignments in a dynamic environment.

- Deliver assigned data solutions in Agile teams through close collaboration with engineers, product owners, and stakeholders.

 

 

 

SUPERVISORY RESPONSIBILITIES: None.

 

MINIMUM KNOWLEDGE, SKILLS AND ABILITIES REQUIRED:

- Bachelor's degree in Computer Science, Information Systems, or related field, or equivalent combination of education and experience.
- Strong verbal and written communication skills, with the ability to tailor messaging to technical and non-technical audiences including business stakeholders, IT sponsors, and leadership.

- At least 2 years of related experience, including at least 1 year in a hands-on software development or data engineering role.

- Working proficiency in SQL, including joins, data transformations, query troubleshooting, and analytical queries.

- Experience with relational databases, SQL-based data platforms, and common data processing patterns.
- Experience working with and supporting Unix/Linux and Windows systems.
- Proficiency in relational database modeling concepts and techniques.
- Solid conceptual understanding of distributed computing principles and scalable data architectures.
- Working knowledge of application and data security concepts, best practices, and common vulnerabilities.
- Experience in one or more of the following disciplines preferred:

• Modern data platforms, cloud-native architectures, and data transformation technologies (e.g. Snowflake, dbt).
• Traditional data engineering tools (e.g. IBM DB2, IBM Information Server/DataStage)
• Metadata management products and data governance tools
• BI (Business Intelligence) report development and data visualization tools
• Messaging and streaming systems (e.g. Apache Kafka)
• Data warehousing and warehousing architectures
• REST API design and development
• Version control and CI/CD tools
• Infrastructure automation and virtualization tools
• Major cloud platforms (AWS, Azure, GCP)

- Experience using AI-assisted engineering capabilities and an understanding of how trusted data supports analytics, artificial intelligence, and machine learning solutions.

- Understanding of data product principles and experience supporting the full lifecycle of data assets.

- Experience collaborating with offshore teams is a plus.

- Financial services industry experience is preferred.

Data Engineer II

At Fifth Third, we understand the importance of recognizing our employees for the role they play in improving the lives of our customers, communities and each other. Our Total Rewards include comprehensive benefits and differentiated compensation offerings to give each employee the opportunity to be their best every day.

The base salary for this position is reflective of the range of salary levels for all roles within this pay grade across the U.S. Individual salaries within this range will vary based on factors such as role, relevant skillset, relevant experience, education and geographic location. In addition to the base salary, this role is eligible to participate in an incentive compensation plan, with any such payment based upon company, line of business and/or individual performance.

Our extensive benefits programs are designed to support the individual needs of our employees and their families, encompassing physical, financial, emotional and social well-being. You can learn more about those programs on our 53.com Careers page at: https://www.53.com/content/fifth-third/en/careers/benefits.html or by consulting with your talent acquisition partner. 

LOCATION -- Cincinnati, Ohio 45202

Attention search firms and staffing agencies: do not submit unsolicited resumes for this posting.  Fifth Third does not accept resumes from any agency that does not have an active agreement with Fifth Third.  Any unsolicited resumes – no matter how they are submitted – will be considered the property of Fifth Third and Fifth Third will not be responsible for any associated fee.

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.