Senior Data Engineer

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 $250 million Series E round https://www.eliseai.com/blog/eliseai-raises-250m-series-e led by Andreessen Horowitz 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