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

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.

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 include:

• 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 automated testing procedures to ensure data integrity and reliability
• Deploy CI/CD pipelines for data infrastructure to enable efficient, reliable, and repeatable deployments
• Collaborate with data scientists, analysts, and business stakeholders to understand data requirements and implement solutions
• Establish data engineering best practices and standards
• Create comprehensive documentation for data processes, models, and infrastructure
• Implement data governance practices and ensure compliance with regulatory requirements
• Proactively identify and resolve data-related issues and bottlenecks

Tech stack includes:

• Cloud Platforms: AWS
• Data Warehousing: Snowflake
• Orchestration Tools: Airflow
• Data Transformation: dbt-core
• Programming Languages: Python, SQL, Node
• CI/CD Tools: Gitlab Pipelines
• Version Control: Git
• Infrastructure as Code: Terraform
• Monitoring & Observability: Datadog

Minimum requirements include:

• Bachelor's degree in Computer Science, Data Science, Information Systems, or related technical field
• 5+ years of experience in data engineering with a focus on cloud-based data infrastructure
• Strong proficiency in our tech stack or similar technologies
• Experience implementing and managing data pipelines and ETL/ELT processes
• Knowledge of data modeling, database design, and optimization techniques
• Experience with CI/CD practices for data infrastructure
• Excellent problem-solving skills and attention to detail
• Strong communication skills and ability to collaborate with cross-functional teams

Compensation includes:

• Salaries may vary by location. The base salary range for this role in New York is $150,000 – $225,000.
• In addition to base pay, this role is eligible for a highly competitive and lucrative total rewards package, which includes:
• Annual bonus opportunity
• Lucrative equity awards through our long-term incentive program
• A comprehensive benefits suite

Welltower is committed to leveraging the talent of a diverse workforce to create great opportunities for our business and our people. EOE/AA. Minority/Female/Sexual Orientation/Gender Identity/Disability/Vet