Top Hybrid Senior Level Software Engineer Jobs in Philadelphia, PA

The Distinguished Data Engineer will lead data modernization efforts, build enterprise data platforms, mentor talent, and promote engineering excellence within Capital One.

Lead the development and implementation of innovative technology solutions, mentoring teams and driving results through collaboration and effective communication with stakeholders.

As an Engineering Specialist, you will design and implement cloud-based data solutions, guide architecture decisions, and mentor teams in data engineering practices, primarily using Databricks and AWS.

Lead design and development of mobile and web streaming applications, integrate and test new features, mentor junior engineers, document technical work, track performance metrics, and provide architectural and operational leadership across releases and deployments.

The Engineer will work on CIAM architecture, design, implementation, and administration. Responsibilities include integration of IAM systems, documentation, solution design, and collaboration with various teams.

The Microsoft Solutions Engineer will design and implement Microsoft-based solutions, provide technical support, collaborate with stakeholders, and ensure high performance of Microsoft applications. Responsibilities include managing SharePoint and training users.

Design, implement, test, and startup Process Control Systems using DeltaV. Lead project teams, develop customer relationships, and ensure customer satisfaction while mentoring engineers.

Lead design and delivery of end-to-end personalization and experimentation programs using Contentful Personalization. Architect and implement integrations, rendering strategies, and cloud-native systems; run experiments and measurement; conduct technical discovery; enable customers through workshops, documentation, and mentoring; and partner with Product and Engineering to inform roadmap and reusable patterns.

Senior Database Engineer required to design, develop and optimize databases and ETL processes. Collaborate with teams to deliver data solutions, ensure compliance, and troubleshoot issues.

Design enterprise-grade Azure solutions, influence cloud strategy, guide clients through adoption frameworks, and manage migrations while driving project success and customer engagement.