PNC - Cleveland, OH

posted 2 months ago

Part-time - Mid Level
Cleveland, OH
Credit Intermediation and Related Activities

About the position

At PNC, our people are our greatest differentiator and competitive advantage in the markets we serve. We are all united in delivering the best experience for our customers. We work together each day to foster an inclusive workplace culture where all of our employees feel respected, valued and have an opportunity to contribute to the company's success. As a Data Engineer, you will be a member of PNC's Technology organization within the ACFR Technology group. You will be based in Pittsburgh, Pennsylvania or Cleveland, OH. Your responsibilities include performing critical technical activities as a Data Engineer to build and support a suite of business solutions. You will be responsible for performing application development as a member of a scrum crew. This involves developing a deep understanding of the application functionality, including the various key components, what they do, and how they interact with each other. You will be one of the technology members on the wing to help in building business solutions. Your role will require you to understand user stories, estimate, and implement them while looking for opportunities to automate and innovate. You will develop deep expertise in the PNC agile process and toolsets, be involved with complex software releases, and ensure successful deployments. Additionally, you will work closely with other scrum teams and PNC technical teams, developing, supporting, and implementing data solutions for multiple applications to meet business objectives and user requirements. This includes leveraging your technical knowledge and industry experience to design, build, and maintain technology solutions. You will also be responsible for data requirement analysis and the data preparation process development for targeted data solutions, designing and building data service infrastructure on multiple data platforms according to the workflow, and ensuring the scalability, availability, and maintainability of data solutions through effective data migration and transformation processes.

Responsibilities

  • Perform application development as a member of a scrum crew.
  • Develop a deep understanding of the application functionality and its key components.
  • Understand user stories, estimate, and implement them.
  • Look for opportunities to automate and innovate.
  • Develop expertise in the PNC agile process and toolsets.
  • Be involved with complex software releases and ensure successful deployments.
  • Work closely with other scrum teams and PNC technical teams.
  • Develop, support, and implement data solutions for multiple applications.
  • Conduct data requirement analysis and develop data preparation processes.
  • Design and build data service infrastructure on multiple data platforms.
  • Implement data migration and transformation activities to ensure data accuracy and security.

Requirements

  • Bachelor's degree in a relevant field.
  • 3+ years of relevant industry experience.
  • Strong technical knowledge in data engineering and application development.
  • Experience with data migration and transformation processes.
  • Familiarity with agile methodologies and scrum processes.

Nice-to-haves

  • Analytical Thinking
  • Data Analytics
  • Data Mining
  • Data Science
  • Machine Learning

Benefits

  • Medical/prescription drug coverage with a Health Savings Account feature
  • Dental and vision options
  • Employee and spouse/child life insurance
  • Short and long-term disability protection
  • 401(k) with PNC match
  • Pension and stock purchase plans
  • Dependent care reimbursement account
  • Back-up child/elder care
  • Adoption, surrogacy, and doula reimbursement
  • Educational assistance, including select programs fully paid
  • Robust wellness program with financial incentives
  • Paid maternity and/or parental leave
  • Up to 11 paid holidays each year
  • 8 occasional absence days each year
  • 15 to 25 vacation days each year depending on career level and years of service
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