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Welltower™ Inc. (NYSE:WELL)

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

toledo, OH

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About this opportunity

Welltower™ Inc. (NYSE:WELL) lists this Senior Software Engineer - Python/AWS/Node - FinTech startup experience highly preferred! opportunity in toledo, Ohio. Review the employer’s description below for duties, qualifications and application requirements.

Job description

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

Direct message the job poster from Welltower™ Inc. (NYSE:WELL)

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 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

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

Seniority level

Mid-Senior level

Employment type

Full-time

Job function

Engineering and Information Technology

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Worksite address

toledo, OH, 43614, US

Who can apply

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