Software Engineer Principal at PNC – Strongsville Technology Center

Software Engineer Principal at PNC – Strongsville Technology Center (OH537), United States

Position Overview 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 Software Engineer Principal within PNC’s DATA PRODUCTS organization, you will be based in Strongsville, OH, Pittsburgh, PA, Birmingham, AL or Dallas, TX. The position is primarily based in a PNC location; responsibilities require time in the office or in the field on a regular basis. Some responsibilities may be performed remotely, at the manager’s discretion.

* PNC will not provide sponsorship for employment visas or participate in STEM OPT for this position.*

We are looking for an experienced Senior Data Engineer with a strong background in building scalable data pipelines, ensuring data quality, and optimizing data availability. You will design and implement data solutions using cutting‑edge technologies, collaborate with cross‑functional teams, and contribute to data governance and quality initiatives. If you’re passionate about data engineering and thrive in an Agile environment, we’d love to have you on our team!

• Design, build, and maintain scalable data pipelines using cloud platforms and big data technologies.
• Develop and optimize data warehousing solutions to ensure high availability and performance.
• Implement data modeling techniques to support analytics and reporting needs.
• Ensure data quality, governance, and compliance across all data processes.
• Collaborate with business analysts, data scientists, and other stakeholders to understand requirements and deliver data solutions.
• Leverage cloud platforms (e.g., AWS, Azure, Google Cloud) and big data frameworks (e.g., Hadoop, Spark, Kafka) to build robust data architectures.
• Utilize Dev Ops practices and CI/CD tools to automate and streamline data workflows.
• Monitor and maintain data systems, implementing alerting mechanisms to ensure reliability.
• Participate in Agile/SAFe ceremonies, including sprint planning, stand‑ups, and retrospectives.

• Aligns business strategy with software solutions.
• Proposes, designs & codes software solutions to address complex business needs. Oversees technical and procedural documentation required.
• Leads complex problem solving.
• Provides technical guidance and support to colleagues and solution development.
• Displays an innovative approach to apply modern principles, methodologies and tools to advance business initiatives and capabilities.

• Education:
  
  Bachelor’s degree in STEM (Science, Technology, Engineering, Mathematics) or a related field. A Master’s degree in Computer Science or a related discipline is a plus.
• Experience:
  
  5+ years of data engineering experience, with a focus on building scalable data pipelines and warehouse solutions.
• Proven expertise in cloud platforms (e.g., AWS, Azure, Google Cloud) and big data technologies (e.g., Hadoop, Spark, Kafka, Flink).
• Experience with data governance, quality management, and compliance.
• Technical
  
  Skills:
  
  Proficiency in programming languages such as PySpark, Scala, SQL, and Java; strong experience with ETL processes, data modeling, and data warehousing.
• Familiarity with Dev Ops tools and CI/CD workflows (e.g., Git, Jenkins, Docker, Kubernetes).
• Knowledge of monitoring and alerting tools for data systems.
• Experience with mainframe technologies and COBOL is a plus.
• Soft Skills:
  
  Strong problem‑solving and analytical skills; excellent communication and collaboration skills; ability to thrive in a fast‑paced, Agile/SAFe environment.

• Certifications such as AWS Certified Data Engineer, Agile/SAFe Practitioner, or Apache Hadoop.
• Experience with data pipeline orchestration tools (e.g., Apache Airflow).
• Background in working with large‑scale, distributed systems.

• Preferred
  
  Skills:
  
  Application Development, Business Management, Customer Solutions,…