Top Remote Software Engineer Jobs in Philadelphia, PA

The Analytics Engineer will manage BI modeling, create dashboards, ensure data quality, and collaborate with customers and teams for reporting needs.

The Staff Software Engineer will lead the design and development of scalable access control solutions for Identity and Access Management. Responsibilities include architecting authorization systems and mentoring engineers, ensuring high-quality, high-scale platform solutions.

Lead architecture and implementation of a new frontend platform, define org-wide frontend best practices, mentor engineers, collaborate with product/design/backend, operationalize tools and CI/CD, drive cross-team initiatives, and ensure high-performance, maintainable, and accessible frontend systems.

Lead and mentor a team of engineers to design, implement, and maintain scalable, enterprise-grade services. Drive architecture decisions, conduct code and architecture reviews, define testing strategies, collaborate cross-functionally, engage with clients on complex technical issues, and continuously improve development processes and tooling.

Build and maintain data onboarding pipelines and automation to extract, transform, validate, and import retailer data from legacy POS systems. Optimize performance, ensure data quality, and collaborate with onboarding, product, and operations teams to scale retailer onboarding.

The Senior Frontend Engineer will architect and develop core services using Angular, collaborating on design and maintenance of web applications, ensuring quality and security standards are met.

Build and maintain backend services for Cadence's remote patient monitoring platform. Improve engineering standards and tooling, collaborate with cross-functional teams, and deliver well-architected features on a six-week cadence to support large-scale patient care.

The Dynamics 365 Developer will design, customize, and maintain solutions in Dynamics 365. Responsibilities include collaboration with stakeholders, API integrations, testing, optimization, and ongoing support to improve business operations.

Develop and operate core data platforms, improve frontend architecture, add functionalities to APIs, integrate data sources, and provide feedback to the team.

The Data Engineer will develop and maintain ETL processes using Python and Azure Synapse, ensuring data quality, performance optimization, and documentation.