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Lead Data Engineer-Risk

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.

GENERAL FUNCTION:

The data engineer designs and builds platforms, tools, and solutions that help the bank manage, secure, and generate value from its data. The person in this role creates scalable and reusable solutions for gathering, collecting, storing, processing, and serving data on both small and very large (i.e. Big Data) scales. These solutions can include on-premise and cloud-based data platforms, and solutions in any of the following domains ETL, business intelligence, analytics, persistence (relational, NoSQL, data lakes), search, messaging, data warehousing, stream processing, and machine 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, and ensures 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 AND RESPONSIBILITIES:

- Responsible for design, Development, and Support of data solutions, APIs, tools, and processes to enable rapid delivery of business capabilities.
- Work closely with IT application teams, Enterprise architecture, infrastructure, information security, and LOB stakeholders to translate business and technical strategies into data-driven solutions for the Bank.
- Act as a technical Expert addressing problems related to system and application design, performance, integration, security, etc.
- Conduct research and Development based on current trends and technologies related to the banking industry, data engineering and architecture, data security, and related topics.
- Work with developers to Build CI/CD pipelines, Self-service Build tools, and automated deployment processes.
- Evaluate software products and Provide documented recommendations as needed.
- Provide Support and troubleshooting for data platforms. Must be willing to Provide escalated on-call Support for complicated and/or critical incidents.
- Participate in the planning process for hardware and software.
- Plan and work on internal projects as needed, including legacy system replacement, Monitoring and analytics improvements, tool Development, and technical documentation.
- Provide technical guidance and mentoring for other team members.
- Manage and prioritize multiple assignments.

MINIMUM KNOWLEDGE, SKILLS AND ABILITIES REQUIRED:

- Bachelor's degree in Computer Science/Information Systems or equivalent combination of education and experience.
- Must be able to communicate ideas both verbally and in writing to management, business and IT sponsors, and technical resources in language that is appropriate for each group.
- At least 6 years of related experience, including at least 4 years in a hands-on software development role.
- Significant experience with at least one major RDBMS product.
Experience working with and supporting Unix/Linux and Windows systems.
- Proficient in relational database modeling concepts and techniques.
- Solid conceptual understanding of distributed computing principles.
- Working knowledge of application and data security concepts, best practices, and common vulnerabilities.
- Experience in one or more of the following disciplines preferred: big data technologies and distributions, metadata management products, commercial ETL tools, Bi and reporting tools, messaging systems, data warehousing, Java (language and run time environment), major version control systems, continuous integration/delivery tools, infrastructure automation and virtualization tools, major cloud, or rest API design and development.
- Previous experience working with offshore teams desired.
- Financial industry experience is a plus.

#LI-GM1

Lead Data Engineer-Risk

Total Base Pay Range 80,500.00 - 169,100.00 USD Annual

LOCATION -- Virtual, Ohio 00000

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.

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Average salary estimate

$124800 / YEARLY (est.)
min
max
$80500K
$169100K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About Lead Data Engineer-Risk, Fifth Third

At Fifth Third Bank, we believe in making banking a Fifth Third better® through innovation and excellence, and we're excited to bring on a Lead Data Engineer-Risk to spearhead our data solutions! In this virtual role, you'll play a pivotal part in designing, building, and maintaining the platforms that allow us to manage, secure, and derive incredible value from our data. Imagine crafting scalable solutions that cater to both small datasets and massive volumes commonly referred to as Big Data. Your expertise will enable us to leverage cutting-edge technologies in ETL, analytics, cloud data platforms, and machine learning, among others. Collaborative by nature, you'll work closely with IT teams and business stakeholders, transforming technical strategies into actionable, data-driven solutions. Plus, you’ll act as a technical expert, addressing challenges in system performance and integration while remaining committed to the highest security standards. We value those who actively share ideas, audit risk, and maintain compliance with our policies. If you have a knack for mentoring others, managing diverse projects, and want to be part of a mission-driven organization that prioritizes customer experience, this Lead Data Engineer-Risk role at Fifth Third Bank could be the perfect opportunity for you to shine in an inclusive environment where your contributions matter!

Frequently Asked Questions (FAQs) for Lead Data Engineer-Risk Role at Fifth Third
What are the responsibilities of a Lead Data Engineer-Risk at Fifth Third Bank?

As a Lead Data Engineer-Risk at Fifth Third Bank, you'll be responsible for designing and developing innovative data solutions, APIs, and processes that enable quick delivery of business capabilities. You'll closely collaborate with IT application teams and stakeholders to translate strategies into data-driven solutions, acting as a technical expert to address critical challenges effectively.

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What qualifications are needed for the Lead Data Engineer-Risk position at Fifth Third Bank?

To qualify for the Lead Data Engineer-Risk position at Fifth Third Bank, you need a bachelor’s degree in Computer Science or a related field, along with at least six years of relevant experience, including four years in software development. Familiarity with RDBMS, data security best practices, and big data technologies is essential. Great communication skills to bridge the gap between management and technical teams are also crucial.

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What programming languages and technologies should a Lead Data Engineer-Risk at Fifth Third Bank be proficient in?

A Lead Data Engineer-Risk at Fifth Third Bank should be proficient in relational database languages and common big data technologies. Familiarity with Java, project management tools, data warehousing solutions, ETL tools, and continuous integration/delivery pipelines is highly beneficial. A strong grasp of cloud platforms and REST API development is also advantageous.

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How does the Lead Data Engineer-Risk role contribute to customer experience at Fifth Third Bank?

In the Lead Data Engineer-Risk role at Fifth Third Bank, your work directly enhances customer experience by ensuring that data-driven solutions are reliable and efficient. By streamlining data processes and fostering security, you help the bank make informed decisions that lead to better services for customers, ultimately supporting Fifth Third's commitment to doing the right thing for clients.

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Is previous experience in the financial industry beneficial for the Lead Data Engineer-Risk position at Fifth Third Bank?

Yes, previous experience in the financial industry is definitely beneficial for the Lead Data Engineer-Risk position at Fifth Third Bank. Understanding the unique challenges and regulations within the banking sector will allow you to better tailor data solutions and contribute meaningfully to the organization's data strategies.

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Common Interview Questions for Lead Data Engineer-Risk
Can you describe your experience with big data technologies applicable to the Lead Data Engineer-Risk role?

When discussing your experience with big data technologies, focus on specific tools you've used, such as Hadoop or Spark. Detail any projects where you designed data architectures or implemented solutions, emphasizing both challenges faced and how you overcame them, while aligning with banking applications.

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How do you ensure data security within your data engineering solutions?

Explain your practical knowledge of data security protocols and best practices. Discuss how you integrate security measures during the design phase and what steps you take to comply with regulations, highlighting any past experiences in preventing data breaches.

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What are some strategies you use when collaborating with IT application teams?

Share your approach to collaboration by highlighting communication tools, regular meetings, or joint planning sessions. Emphasize the importance of translating technical jargon into layman's terms to ensure everyone on the team understands the project objectives and deliverables.

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Describe a challenging project you worked on and how you managed it.

Choose a project that involved complex data processing or integration. Discuss the challenges you faced and how your leadership and technical skills helped navigate these issues. Provide specifics about your approach to project management and stakeholder communication.

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What tools have you used for CI/CD pipelines, and how have they improved your workflow?

Be prepared to discuss specific tools like Jenkins, GitLab, or Azure DevOps that you've utilized for CI/CD. Share how these tools have streamlined your development process, such as through automated testing or quicker deployments, leading to enhanced productivity.

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How do you keep up with current trends in data engineering?

In your response, mention resources such as industry blogs, webinars, or professional associations you follow. Highlight any recent certifications or courses you’ve taken to enhance your skills and knowledge regarding emerging technologies in data engineering.

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How do you prioritize tasks when managing multiple projects?

Discuss your prioritization methodology, such as using Agile or prioritization matrices. Detail how you assess project deadlines and impacts, ensuring that you align team efforts with business goals while maintaining quality in your deliverables.

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Can you explain a time when you provided technical guidance to team members?

Describe an occasion where you mentored or provided training to junior engineers. Explain how you identified their needs, the methods you used to communicate complex concepts, and the overall positive impact of your guidance on team performance.

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What experience do you have with data modeling and architecture?

Outline your experience in designing data models, discussing the types of data you’ve worked with, such as transactional or analytical data. Mention any specific methodologies you followed and the tools that facilitated your data architecture design process.

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How do you measure the success of a data engineering project?

Explore how you define and track success metrics, such as data accuracy, system performance, or user feedback. Share examples of successful projects and how measurement influenced future projects, improving their efficiency and outcomes.

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At Fifth Third Bank, we’re working hard to make banking a Fifth Third better. Which, according to the laws of mathematics, 5/3 equals 166.7%. That’s a whole lot of percents. Learn more at http://go.53.com/better

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DATE POSTED
April 22, 2025

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