Senior Data Engineer at PNC will design, build, and maintain scalable data pipelines using Spark, SQL, and distributed data platforms. You will develop robust ETL/ELT frameworks supporting batch and real-time processing, ensure code quality and reusability, and work with containerized environments (Docker, Kubernetes/OpenShift Container Platform) to deploy data workloads and modernize Spark platforms. You will design and manage data on object storage (e.g., S3, ADLS) and optimize table formats such as Apache Iceberg, with attention to partitioning and lifecycle management in data lakes. You will implement and maintain CI/CD pipelines for data workflows, automate deployments and testing, and support infrastructure-as-code practices. You will optimize Spark jobs for performance and monitor resource usage, identify bottlenecks, and drive efficiency. You will contribute to data architecture decisions, support migrations and modernization efforts, and evaluate new technologies. You will collaborate with business stakeholders and product teams, provide technical leadership, and mentor junior engineers. You will ensure governance, security, and compliance standards, follow change management and deployment processes, and support audit readiness. The role emphasizes an inclusive, in-office culture at PNC. Visa sponsorship is not provided for this position.

Senior Data Engineer at PNC will design, build, and maintain scalable data pipelines using Spark, SQL, and distributed data platforms. You will develop robust ETL/ELT frameworks supporting batch and real-time processing, ensure code quality and reusability, and work with containerized environments (Docker, Kubernetes/OpenShift Container Platform) to deploy data workloads and modernize Spark platforms. You will design and manage data on object storage (e.g., S3, ADLS) and optimize table formats such as Apache Iceberg, with attention to partitioning and lifecycle management in data lakes. You will implement and maintain CI/CD pipelines for data workflows, automate deployments and testing, and support infrastructure-as-code practices. You will optimize Spark jobs for performance and monitor resource usage, identify bottlenecks, and drive efficiency. You will contribute to data architecture decisions, support migrations and modernization efforts, and evaluate new technologies. You will collaborate with business stakeholders and product teams, provide technical leadership, and mentor junior engineers. You will ensure governance, security, and compliance standards, follow change management and deployment processes, and support audit readiness. The role emphasizes an inclusive, in-office culture at PNC. Visa sponsorship is not provided for this position.