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Data Engineer Senior - Big Data Platform TeamPNC • United States
Postuler Maintenant
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Data Engineer Senior - Big Data Platform Team

PNC
  • US
    United States
  • US
    United States
Postuler Maintenant

À propos

Data Engineer Senior
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 Data Engineer Senior within PNC's Data Products organization, you will be based in Pittsburgh, PA, Dallas, TX, Birmingham, AL, Strongsville, OH, Denver, CO, or Phoenix, AZ. Due to the nature of the position, we are looking for Data Engineers with the following experience: Data Pipeline Development & Engineering
Design, develop, and maintain scalable data pipelines using Spark, SQL, and distributed data platforms. Build robust ETL/ELT frameworks supporting batch and real-time processing. Ensure code quality, modularity, and reusability across pipelines. Platform, Containerization & Infrastructure
Work with containerized environments (Docker, Kubernetes/OCP) to deploy and manage data workloads. Support containerization initiatives for Spark workloads and platform modernization. Collaborate with infrastructure teams for resource allocation, scaling, and cluster optimization. Object Storage & Data Lake Technologies
Design and manage data on object storage platforms (e.g., S3, ADLS, or equivalent). Implement and optimize modern table formats such as Apache Iceberg for large-scale analytics. Ensure efficient data partitioning, versioning, and lifecycle management in data lakes. DevOps & CI/CD Practices
Implement and maintain CI/CD pipelines for data engineering workflows (e.g., Jenkins, GitHub/Bitbucket, Azure DevOps). Automate deployments, testing, and monitoring of data pipelines. Support infrastructure-as-code practices and environment standardization. Resource Utilization & Performance Optimization
Optimize Spark jobs for performance, memory, and compute efficiency. Monitor resource allocation (CPU, memory, storage) and drive improvements. Identify and resolve bottlenecks in distributed processing environments. Architecture & Solution Design
Contribute to data architecture decisions, including data modeling and pipeline design. Support migration and modernization efforts (e.g., legacy to cloud/OCP platforms). Evaluate and recommend new technologies for scalability and efficiency. Collaboration & Leadership
Partner with business stakeholders and product teams to define data requirements. Provide technical leadership and mentor junior engineers. Participate in sprint planning, design reviews, and release governance. Governance & Compliance
Ensure adherence to enterprise data governance, security, and compliance standards. Follow change management (CR), code review, and deployment processes. Support audit readiness and vulnerability remediation activities. Documentation & Knowledge Sharing
Maintain clear technical documentation for pipelines and architecture. Conduct KT sessions and support onboarding/offboarding activities. Promote engineering best practices across the team. PNC is an in-office company that fosters a supportive culture where employees can thrive and achieve balance. We encourage candidates to connect with their recruiter and hiring manager to understand workplace expectations and ensure the role aligns with their goals. PNC will not provide sponsorship for employment visas or participate in STEM OPT for this position.
  • United States

Compétences linguistiques

  • English
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