Senior Data Engineer
Role Overview
Design and build scalable, reusable platforms and solutions for gathering, storing, processing, securing, and serving data.
Work across on-premises and cloud platforms and domains including ETL, BI, analytics, databases, data lakes, search, messaging, warehousing, stream processing, and machine learning.
The role includes data solution delivery, technical guidance, support, risk accountability, and collaboration across the bank.
Key Skills for This Role
Full Job Posting
Role overview
Design and build scalable, reusable platforms and solutions for gathering, storing, processing, securing, and serving data.
Work across on-premises and cloud platforms and domains including ETL, BI, analytics, databases, data lakes, search, messaging, warehousing, stream processing, and machine learning.
The role includes data solution delivery, technical guidance, support, risk accountability, and collaboration across the bank.
Responsibilities
- Design, develop, and support data solutions, APIs, tools, and processes; translate business and technical strategies into data-driven solutions.
- Address design, performance, integration, and security problems; research relevant banking and data technologies.
- Build CI/CD pipelines, self-service tools, and automated deployments with developers; evaluate software and document recommendations.
- Support and troubleshoot data platforms, including escalated on-call incidents; participate in hardware and software planning.
- Deliver internal projects including legacy replacement, monitoring and analytics improvements, tools, and technical documentation.
- Mentor team members, prioritize assignments, and manage risks in accordance with bank policies.
Minimum qualifications
- Bachelor's degree in Computer Science/Information Systems or equivalent combination of education and experience.
- At least six years of related experience, including four years in hands-on software development.
- Significant experience with a major RDBMS; experience supporting Unix/Linux and Windows systems.
- Proficiency in relational database modeling; understanding of distributed computing.
- Working knowledge of application and data security concepts, best practices, and common vulnerabilities.
- Ability to communicate with management, business and IT sponsors, and technical resources.
Preferred qualifications
- Experience in one or more of big data, metadata management, ETL, BI/reporting, messaging, data warehousing, Java, version control, CI/CD, infrastructure automation, virtualization, cloud, or REST API development.
- Offshore team experience is desired; financial industry experience is a plus.
Location and work conditions
- The position is listed in Cincinnati, Ohio.
- Escalated on-call support may be required for complicated or critical incidents.
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