Welltower is looking to transform how the world thinks about senior living and wellness-focused real estate by building robust data infrastructure to power analytics and business intelligence initiatives.
Requirements
- 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
- Proficiency in Python, SQL, Node
- Experience with AWS, Snowflake, Airflow, dbt-core, Gitlab Pipelines, Git, Terraform, Datadog
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
Other
- Bachelor's degree in Computer Science, Data Science, Information Systems, or related technical field
- Excellent problem-solving skills and attention to detail
- Strong communication skills and ability to collaborate with cross-functional teams
- Minimal out-of-area and overnight travel may be expected.
- 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.
