← Back to jobs

Senior Software Engineer - Python/AWS/Node - FinTech startup experience highly preferred!

Welltower
FULL_TIME Remote · US New York, NY, US Posted: 2026-05-11 Until: 2026-06-10
Apply Now →
You will be redirected to the original job posting on BeBee.
Apply directly with the employer.
Job Description
Senior Software Engineer - Python/AWS/Node - FinTech Startup Experience Highly Preferred! At Welltower, we're transforming how the world thinks about senior living and wellness-focused real estate. As a global leader in residential wellness and healthcare infrastructure, we create vibrant, purpose-driven communities where housing, healthcare, and hospitality converge. Our culture is fast-paced, collaborative, and endlessly ambitious—guided by our mantra: The only easy day was yesterday. We're looking for bold, independent thinkers who thrive on challenge, embrace complexity, and are driven to deliver long-term value. Every team member is empowered to think like an owner, innovate fearlessly, and lead from where they stand. If you're passionate about outcomes and inspired by the opportunity to shape the future of healthcare infrastructure, we want you on our best-in-class team. About The Role The Senior Software Engineer at Welltower is responsible for designing, implementing, and maintaining robust data infrastructure that powers the organization's analytics and business intelligence initiatives. This role requires expertise in building scalable data pipelines, managing cloud-based data warehousing solutions, and implementing data quality frameworks. The Senior Data Engineer will collaborate with cross-functional teams, lead data engineering projects to completion, and establish best practices for data management across the organization. Key Responsibilities Design, develop, and maintain scalable ELT data pipelines to support time-series based analytics and reporting needs Architect and implement data models and solutions in Snowflake to ensure optimal performance and accessibility Build and manage AWS-based infrastructure Implement and maintain data orchestration workflows using industry-standard tools to automate data processing Establish data quality frameworks and automa