About the job
About EliseAI
At EliseAI, we are dedicated to transforming the vital sectors of housing and healthcare. We believe that everyone deserves access to safe housing and quality healthcare, yet these essentials are often challenging to obtain.
By seamlessly integrating AI agents into existing workflows, we enhance efficiency, reduce costs, and improve user experiences for all stakeholders.
Housing: We streamline the rental process, allowing tenants to easily tour apartments, sign leases, submit maintenance requests, and maintain communication with property management—all from one platform.
Healthcare: We simplify appointment scheduling, intake form completion, and patient-provider communication, enabling a greater focus on health rather than administrative tasks.
With EliseAI, organizations can minimize manual labor, enhance accessibility, and provide a cohesive experience across essential services. Recently, we secured a $250 million Series E funding led by Andreessen Horowitz to accelerate our mission.
About The Role
As a Senior Data Engineer, you will play a pivotal role in our Engineering team, steering our commitment to leveraging data as a strategic asset. Collaborating closely with product, operations, and analytics teams, you will be responsible for developing the data infrastructure that drives our decision-making processes. Your contributions will significantly influence product development, operational optimization, and customer value delivery.
Key Responsibilities
We are on the lookout for a talented and experienced Senior Data Engineer to join our team. The ideal candidate will take full ownership of our data pipeline, playing a crucial role in the design, implementation, and maintenance of our data infrastructure and ETL processes. In this role, you will lead the engineering team to ensure that all coding processes yield meaningful data stored efficiently. This data pipeline is essential for client-facing reporting and internal strategic decision-making.
Core Objectives
Construct and uphold high-quality data solutions and extensive data pipelines capable of processing large volumes of data.
Collaborate with various teams to understand data requirements and deliver robust solutions that meet business needs.
Optimize data storage and retrieval processes for maximum efficiency and performance.

