Top Senior Level Data Engineer Jobs in Philadelphia, PA

The Sr. Data Expert will lead analytics processes using complex tools to develop optimized analytical solutions for AML operations. Responsibilities include overseeing data assets, ensuring compliance with governance standards, and analyzing results to advise management. Strong communication skills and a background in KYC and data quality management are critical.

As a Senior Data Engineer at PNC, you will lead the development and implementation of data solutions for various applications. This includes conducting data requirement analyses, overseeing data migration and transformation processes, and ensuring the scalability and maintainability of data infrastructure. You will leverage your technical knowledge to meet user requirements and business objectives.

As a Big Data DevOps Lead, you will improve efficiency in Big Data infrastructure, coordinate initiatives across teams, lead architecture design efforts, ensure system reliability, and support operational tools while also providing on-call support.

The Solutions Architect role involves engaging with clients to understand their Data & Analytics needs, creating tailored proposals, and ensuring successful delivery of solutions. Responsibilities include client support, design documentation, sales planning, and developing partner relationships, along with contributing to intellectual property.

As a Senior Data Engineer on the Finance team, you will manage financial data pipelines, ensuring accurate reporting and collaborating with cross-functional teams. You will design scalable solutions and have autonomy in driving key initiatives that impact the company's financial data vision.

The Sr. Data Engineer-GCP designs, develops, and integrates data applications on Google Cloud Platform. Responsibilities include building data processing systems, automating data pipelines, leading unit testing, adhering to quality standards, and implementing process improvements. The role leverages machine learning and collaborates with internal and external resources to support reporting and analytics needs.

The Geospatial Analytics Data Platform Architect will design and implement geospatial data architectures for large-scale analytics and machine learning using GCP. The role includes establishing data governance frameworks, leading cross-functional teams, and providing geospatial expertise to create innovative data solutions.

The Director, Data Integration will oversee claims data integration, ensuring accurate and timely data integration across systems. This role involves leading a team of data engineers, shaping data strategy, engaging in product development, and collaborating closely with clients to drive successful data initiatives.