Data Engineer

Role Overview

As a Data Engineer within PNC’s Data and Automation organization, you will be based in one of several locations and work to build and evolve modern data solutions that enable analytics across the organization. Ideal candidates thrive in problem-solving environments and contribute to the design of a next-generation, cloud-native data platform.

What You Will Do

Key responsibilities include monitoring and maintaining the health and performance of the data platform, ensuring stability and reliability, and implementing best practices for platform operations and data engineering standards. You will also contribute to large-scale transformation initiatives, design and build scalable data observability analytics, and partner with business stakeholders to translate analytical needs into technical solutions.

Why It Might Be a Fit

The ideal candidate will have a strong background in data engineering and big data ecosystems, hands-on experience working in scalable data platforms, and knowledge of machine learning concepts for automation development. They will also be able to communicate effectively between technical and non-technical audiences and bridge the gap between business and engineering teams.

Requirements

• Strong proficiency in relevant programming languages such as Python, Spark, Scala
• Strong background and practical experience in SQL development and enterprise database systems (Oracle, Teradata, etc.)
• Experience with modern, cloud-native and open-source tools such as Apache Iceberg, Apache Airflow, Trino
• Strong experience in modern data engineering and big data ecosystems / frameworks
• Hands-on experience working in scalable data platforms and analytical solutions using data Lakehouse architecture
• Knowledge and experience with machine learning concepts for automation development
• Familiarity with cloud platforms (e.g. Azure, AWS) and their data related services
• Experience with dedicated data observability tools or broad monitoring stacks
• Proven ability to go beyond data movement and contribute to solution design
• Strong communication and presence — able to translate between technical and non-technical audiences
• Proven ability to bridge the gap between business and engineering teams
• Collaborative mindset with experience working across cross-functional teams
• Strong problem-solving and critical thinking skills

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
• Maternity and/or parental leave
• Up to 11 paid holidays each year
• 9 occasional absence days each year
• Between 15 to 25 vacation days each year, depending on career level

Tagged as: Python, SQL