Job description

WELLTOWER – REIMAGINE REAL ESTATE WITH US 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 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 • 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 OTHER DUTIES Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities that are required of this employee for this job.  Duties, responsibilities, and activities may change at any time with or without notice. TRAVEL Minimal out-of-area and overnight travel may be expected. MINIMUM REQUIREMENTS • 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 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 Employment is contingent upon the successful completion of a background check, drug screening, and verification of employment, education, and other credentials relevant to the position. COMPENSATION 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 ABOUT WELLTOWER Welltower® Inc. (NYSE: WELL) an S&P 500 company, is the world's preeminent residential wellness and healthcare infrastructure company. Our portfolio of 1,500+ Seniors and Wellness Housing communities is positioned at the intersection of housing, healthcare, and hospitality, creating vibrant communities for mature renters and older adults in the United States, United Kingdom, and Canada. We also seek to support physicians in our Outpatient Medical buildings with the critical infrastructure needed to deliver quality care. Our real estate portfolio is unmatched, located in highly attractive micro-markets with stunning built environments. Yet, we are an unusual real estate organization as we view ourselves as a product company in a real estate wrapper driven by relationships and unconventional culture. Through our disciplined approach to capital allocation powered by our data science platform and superior operating results driven by the Welltower Business System, we aspire to deliver long-term compounding of per share growth and returns for our existing investors – our North Star. 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

Requirements

Must-haves

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
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
Minimal out-of-area and overnight travel may be expected.
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 our tech stack or similar technologies

Nice-to-haves

None flagged.

Application prep

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Keywords to mirror

accessibilityawsci/cdpythonsql

Platform: ukg
Effort: medium

Benefits

Benefits detected in the listing.

Wellness