About EliseAI

At EliseAI, we're improving the industries that matter most: housing and healthcare. Everyone needs a place to live and access to quality healthcare, yet both are often harder to secure than they should be.

By integrating AI agents deeply into existing workflows, we make them more efficient, reduce costs, and improve the experience for everyone.

Housing: We simplify how renters tour apartments, sign leases, submit maintenance requests, and stay connected with their property team—bringing everything they need for their home into one place.

Healthcare: We make it easy to schedule appointments, complete intake forms, and we help patients communicate with providers, so everyone can focus on health instead of paperwork.

With EliseAI, organizations reduce manual work, improve accessibility, and deliver a seamless experience across essential services. We recently raised a $350 million funding round at a $4 billion valuation led by Andreessen Horowitz (a16z) and Bessemer Venture Partners to accelerate this mission.

About The Role

As a Senior Data Engineer, you will be a crucial member of our Engineering team, driving our mission to leverage data as a strategic asset. You’ll work closely with cross-functional teams, including product, operations, and analytics, to build out the data infrastructure that powers our decision-making processes. Your work will directly impact how we develop products, optimize our operations, and deliver value to our customers.

Key Responsibilities

We are seeking a skilled and experienced Senior Data Engineer to join our team. The ideal candidate will completely own our data pipeline, playing a crucial role in designing, implementing, and maintaining our data infrastructure and ETL pipelines. In addition, in this role, you’ll lead the engineering team in making sure all code processes produce meaningful data that is stored in a performant manner. This data process is integral in powering client facing reporting as well as informing internal decisions and strategy.

Core Objectives

The role involves building and maintaining high-quality data solutions and large-scale data pipelines that process vast amounts of data

Optimize data flow and collection for cross-functional teams

Design core data objects and models for the entire company

Implement and maintain data quality checks and monitoring systems

Develop client-facing reporting solutions

Additionally, the position supports data-driven decision-making through the creation of metrics datasets and dashboards

Engineers will collaborate across teams to optimize and improve data quality while delivering user-centric experiences

Move at rocket speed, build something massive.

We’re scaling fast, solving real client problems with precision and ambition. Here, you own your impact; full autonomy, no micromanagement, no fluff. We hire the best, expect the best, and give you the masterclass of your career. It’s hard, it’s intense, and it’s the most rewarding work you’ll ever do. If you’re hungry, driven, and ready to build something massive, climb aboard.

Requirements

Technical skills

4+ years of professional experience in data engineering

Programming proficiency in python

Experience with PostgreSQL or other relational databases

Proven experience in data modeling and database design

Experience with ETL design, implementation, and maintenance

Knowledge of data warehousing solutions, particularly Snowflake

Understanding of development workflows and best practices

Professional skills

Strong problem-solving skills and attention to detail

Strong communication and collaboration skills

Ability to work independently and as part of a team

Excellent organizational and time management skills

Adaptability to learn and work with new technologies

Passion for maintaining high data quality standards

Preferred Qualifications

Experience with data quality management and monitoring tools

Familiarity with AWS services

Familiarity with data visualization techniques and tools

Knowledge of machine learning pipelines and tools