Software Engineer - onsite Dallas, TX

Welltower Careers•Dallas, TX

20h•Onsite

About The Position

The 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 Software Engineer will collaborate with cross-functional teams, lead data engineering projects to completion, and establish best practices for data management across the organization.

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.

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