Senior Data Warehouse Engineer

Twin Health 

At Twin Health, we empower people to reverse, prevent and improve chronic metabolic diseases. Twin Health invented The Whole Body Digital Twin™ , a dynamic representation of each individual’s unique metabolism, built from thousands of data points collected daily via non-invasive sensors and self-reported preferences. The Whole Body Digital Twin delivers a new standard of care, empowering physicians and patients to make personalized data-driven decisions. 

Working here  

Our team is passionate, talented, and driven by our purpose to improve the health and happiness of our members. Our culture empowers each Twin to do what’s needed to create impact for our members, partners, and our company, and enjoy their experience at work. Twin Health was awarded Innovator of the Year by Employer Health Innovation Roundtable (EHIR) (out of 358 companies), named to the 2021 CB Insights Digital Health 150, and recognized by Built In's 2022 Best Places To Work Awards. Twin Health has the backing of leading venture capital funds including ICONIQ Growth, Sequoia, and Sofina, enabling us to scale services in the U.S. and globally and help solve the global chronic metabolic disease health crisis. We have recently announced broad and growing partnerships with premier employers, such as Blackstone and Berkshire Hathaway. We are building the company you always wished you worked for. Join us in revolutionizing healthcare and building the most impactful digital health company in the world!

Excited to join us and do your part in improving people’s health and happiness?

Opportunity 

Twin Heath is expanding rapidly across health providers nationwide in the US as well as India. We are seeking an experienced Data Warehouse Engineer to join our growing team to own the entire process of building a data warehouse from scratch and managing ETL pipelines, working collaboratively with internal business stakeholders and customers. We are looking for candidates physically located in PST. 

Responsibilities 

• Drive analysis, architecture, design, and development of Cloud based data warehouse and business intelligence solutions.
•  Design and develop data flows and models for data warehousing and self-serve reporting.
•  Design and build extensible data acquisition and integration solutions to meet business reporting and analytics needs.
•  Implement a comprehensive framework to support logging, profile and audit high volume high frequency file processing supporting multiple formats.
•  Automate and optimize existing data processing workloads to integrate with the enterprise data warehouse.
•  Understand …