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EliseAI

Builds AI agents for housing and healthcare teams

Senior Data Engineer

Data EngineeringConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • At least 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.
  • 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.
  • Willingness to work in person at the office 4–5 days a week.

Responsibilities

  • Own the data pipeline and design, implement, and maintain data infrastructure and ETL pipelines.
  • Lead the engineering team in ensuring code processes produce meaningful data stored in a performant manner.
  • Build and maintain 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.
  • Create metrics datasets and dashboards to support data-driven decision-making.
  • Collaborate across teams to optimize and improve data quality while delivering user-centric experiences.

Desired 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.
  • Experience with real-time data streaming platforms.
  • Familiarity with dbt and Airflow.

About the Company

EliseAI

Builds AI agents for housing and healthcare teams

EliseAI builds AI agents that handle routine conversations and administrative work for housing operators and medical practices, connecting customer requests to business workflows. Its EliseCRM platform brings property teams' prospect and resident conversations into shared profiles, calendars, and task queues. The assistants answer calls and messages, schedule apartment tours or patient appointments, and keep staff informed when an interaction needs human attention. Customers buy access to its software and connect it to property management systems, medical records, and scheduling tools used by their teams. EliseAI was founded in 2017 and is headquartered in New York City.

Company size
501-1,000
Company stage
Series F
Total funding
$741.9M
Headquarters
New York, NY
Founded
2017

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