Senior Software Engineer - onsite Dallas or NYC - FinTech startup

Position: Senior Software Engineer - onsite Dallas or NYC - FinTech startup experience required
WELLTOWER – REIMAGINE REAL ESTATE WITH USAt 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 bottlenecksTECH STACKCloud Platforms: AWSData Warehousing:
Snowflake Orchestration Tools:
Airflow Data Transformation: dbt-core Programming

Languages:

Python, SQL, NodeCI/CD Tools:
Gitlab Pipelines Version Control:
Git Infrastructure as Code:
Terraform Monitoring & Observability:
DatadogOTHER 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. TRAVELMinimal out-of-area and overnight travel may be expected.

MINIMUM REQUIREMENTS Bachelor's degree in Computer Science, Data Science, Information Systems, or related technical field5+ 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…