Sr Software Engineer (Datawarehouse)

Job Requirements

At Siemens Healthineers, we bring together the world's best talent to realize our vision of a world without fear of cancer.

Together, we work passionately to develop and deliver easy-to-use, efficient oncology solutions.

We are part of an incredible community of scientists, clinicians, developers, researchers, professionals, and skilled specialists pushing the boundaries of what's possible to improve people's lives around the world.

We embrace a culture of inclusivity in which the power and potential of every individual can be unleashed.

We spark ideas that lead to positive impact and continued success.

If you want to be part of this important mission, we want to hear from you.

Position Summary:

We are seeking a hands-on Senior Software Engineer to design, develop, test, and maintain a cloud-based oncology SaaS platform deployed on AWS and used by patients, clinicians, and healthcare providers.

The platform includes modern web applications, cloud services, and data solutions leveraging Snowflake for analytics and reporting.

The ideal candidate is a strong full-stack or backend engineer with experience building scalable SaaS applications, working in Agile teams, and contributing to all phases of the software development lifecycle, including design, development, testing, deployment, and production support.

The productis Siemens Healthineers's cloud-based software solution for patient relationships and care navigation management.It'sdesigned to connect cancer patients with their clinics online throughout the entire cancer journey.The product used by35000+ active cancer patients and healthcare professionals from leading oncologycentersinNorth America and Europe.

The candidate in this role will provide strong product development leadership to a team of software engineers and test engineers, working in an agile/scrum environment.

Position Duties:


* Design, develop, test, and maintain high-quality software solutions for patient-facing and clinician-facing applications.


* Develop and support integrations with Snowflake data warehouse solutions.


* Build and optimize dimensional data models, data marts, and analytical datasets.


* Develop scalable ETL/ELT pipelines to ingest, transform, and integrate data from multiple SaaS applications and cloud services.


* Utilize AI-assisted software development tools to improve coding, testing, debugging, documentation, and development productivity.


* Support development of dashboards, KPIs, operational reports, and product usage analytics.


* Implement scalable, secure, and reliable cloud-native services on AWS.


* Develop APIs, backend services, and user-facing features that meet functional, performance, and security requirements.


* Participate in architecture discussions, technical design reviews, and code reviews.


* Collaborate with data engineers and product teams to enable reporting, analytics, and data-driven features.


* Own quality th...