Software Engineer Principal - Data Solution Implementation; Hadoop

Software Engineer Principal - Data Solution Implementation (Hadoop)

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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 Pittsburgh, PA, Strongsville, OH, Dallas, TX, or Birmingham, AL.

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.

• Designing, building, and maintaining scalable data pipelines using cloud platforms and big data technologies
• Developing and optimizing data warehousing solutions to ensure high availability and performance
• Implementing data modeling techniques to support analytics and reporting needs
• Ensuring data quality, governance, and compliance across all data processes
• Collaborating with business analysts, data scientists, and other stakeholders to understand requirements and deliver data solutions
• Leveraging cloud platforms (e.g., AWS, Azure, Google Cloud) and big data frameworks (e.g., Hadoop, Spark, Kafka) to build robust data architectures
• Utilizing Dev Ops practices and CI/CD tools to automate and streamline data workflows
• Monitoring and maintaining data systems, implementing alerting mechanisms to ensure reliability
• Participating in Agile/SAFe ceremonies, including sprint planning, stand-ups, and retrospectives

• 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

• 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

• Strong problem-solving and analytical skills, with a focus on delivering high-quality solutions
• Excellent communication and collaboration skills to work effectively with cross‑functional teams
• 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

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

• 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.

• Customer Focused — Knowledgeable of the values and practices that align customer needs and satisfaction as primary considerations in all business decisions and able to leverage that information in creating customized customer solutions.
• Managing Risk — Assessing and effectively managing all of the risks associated with their business objectives and activities to ensure they adhere to and support PNC’s Enterprise Risk Management Framework.

Roles at this level typically require a university / college degree, with 5+ years of industry‑relevant experience. Specific certifications are often required. In lieu of a degree, a comparable combination of…