✦ Luna Orbit — Data & Analytics

Principal Data Engineer

at Fifth Third Bancorp

📍 Cincinnati, OH Unknown Posted April 18, 2026
Type Not Specified
Experience executive
Exp. Years Not specified
Education Bachelor's degree in Computer Science/Information Systems or equivalent combination of education and experience
Category Data & Analytics

Fifth Third Bancorp is looking for a Principal Data Engineer to design and build data platforms, tools, and solutions that help the bank manage, secure, and generate value from its data. The role covers end-to-end data engineering (ETL, analytics, warehousing, streaming, and persistence) and includes CI/CD and on-call support responsibilities.

  • Design, Development, and Support of data solutions, APIs, tools, and processes for rapid business delivery
  • Build scalable platforms and reusable solutions for gathering, collecting, storing, processing, and serving data
  • Work with IT application teams, Enterprise architecture, infrastructure, information security, and LOB stakeholders to translate strategies into data solutions
  • Build CI/CD pipelines, self-service build tools, and automated deployment processes for data delivery
  • Provide support and troubleshooting for data platforms, including escalated on-call support for critical incidents

The engineer will build scalable and reusable data solutions across ETL, business intelligence, analytics, data warehousing, stream processing, and machine learning, supporting both on-premise and cloud-based data platforms. They will develop data solution APIs, implement CI/CD pipelines and automated deployment processes, and provide support and troubleshooting for data platforms including escalated on-call incidents.

The ideal candidate is a principal-level data engineer who designs and builds scalable data engineering platforms across ETL, business intelligence, analytics, data warehousing, persistence (relational and NoSQL), and stream processing. They have strong experience implementing CI/CD pipelines and automated deployment processes, and they provide hands-on data platform support including escalated on-call incident response.

designDevelopmentand Support of data solutionsAPIstoolsand processesWork closely with IT application teamsEnterprise architectureinfrastructureinformation securityand LOB stakeholdersBuild CI/CD pipelinesSelf-service Build toolsand automated deployment processesProvide Support and troubleshooting for data platforms and be willing to provide escalated on-call SupportBachelor's degree in Computer Science/Information Systems or equivalent combination of education and experience
legacy system replacementmonitoring and analytics improvementsmachine learningstream processingdata lakes
data engineeringdesign and build data platformstoolsand solutionsgather datacollect datastore dataprocess dataserve dataon-premise data platformscloud-based data platformsETLbusiness intelligenceanalyticspersistence (relationalNoSQLdata lakes)searchmessagingdata warehousingstream processingmachine learningdata solutionsAPIsCI/CD pipelinesautomated deployment processesdata platform supporttroubleshootingescalated on-call Supportenterprise architectureinfrastructureinformation securitytechnical mentoringrisk identificationassessmentmanagingmonitoringreporting
data engineeringdesign and build platformstoolsand solutionsgathering datacollecting datastoring dataprocessing dataserving dataon-premise data platformscloud-based data platformsETLbusiness intelligenceanalyticspersistence (relationalNoSQLdata lakes)searchmessagingdata warehousingstream processingmachine learningAPIstools and processessystem and application designperformanceintegrationsecurityresearch and developmentCI/CD pipelinesself-service build toolsautomated deployment processessoftware product evaluation and documented recommendationsdata platform support and troubleshootinghardware and software planninglegacy system replacementmonitoring and analytics improvementstechnical documentationtechnical mentoringrisk identificationassessmentmanagingmonitoringreporting risks of all typesrisk appetite
openly exchanging ideas and opinionselevating concernscommunication (verbal and written)risk accountabilitycustomer experience focustechnical guidance and mentoringmanage and prioritize multiple assignmentscollaboration with IT application teamscross-functional collaboration with enterprise architectureinfrastructureinformation securityand LOB stakeholdersability to provide escalated on-call support
Industry Banking
Job Function Design and operate enterprise data engineering platforms and pipelines that power secure, scalable banking analytics and data-driven capabilities.
Role Subtype Data Engineer
Tech Domains Data & Analytics, Python, Azure, Amazon Web Services, Google Cloud Platform, SQL / PostgreSQL, Kubernetes, Docker
Principal Data Engineerdata engineerdata engineeringETLbusiness intelligenceanalyticsdata lakesNoSQLdata warehousingstream processingmachine learningAPIsCI/CDCI/CD pipelinesautomated deployment processeson-premise data platformscloud-based data platformspersistencesearchmessagingdata platformstroubleshootingescalated on-call SupportEnterprise architectureinformation securityrisk appetitetechnical mentoringtechnical documentationlegacy system replacementmonitoring and analytics improvementssoftware product evaluation

Must have Bachelor's degree in Computer Science/Information Systems or equivalent combination of education and experience, Must have experience building CI/CD pipelines and automated deployment processes, Must be willing to provide escalated on-call Support for critical incidents

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