PNC
Software Engineer Principal
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. As a Software Engineer Principal, you will design and implement data solutions using cutting-edge technologies, collaborate with cross-functional teams, and contribute to data governance and quality initiatives. Key responsibilities of this role include the following: 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 DevOps 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 Due to the nature of the position, we are seeking candidates with the following qualifications: 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 DevOps tools and CI/CD workflows (e.g., Git, Jenkins, Docker, Kubernetes) Knowledge of monitoring and alerting tools for data systems Soft Skills: 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 Preferred Qualifications: 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.
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. As a Software Engineer Principal, you will design and implement data solutions using cutting-edge technologies, collaborate with cross-functional teams, and contribute to data governance and quality initiatives. Key responsibilities of this role include the following: 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 DevOps 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 Due to the nature of the position, we are seeking candidates with the following qualifications: 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 DevOps tools and CI/CD workflows (e.g., Git, Jenkins, Docker, Kubernetes) Knowledge of monitoring and alerting tools for data systems Soft Skills: 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 Preferred Qualifications: 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.