About EliseAI
At EliseAI, we improve 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, EliseAI makes them more efficient, reduces costs, and improves the experience for everyone.
- Healthcare: Makes it easy to schedule appointments, complete intake forms, and helps patients communicate with providers, so everyone can focus on health instead of paperwork.
- Housing: Simplifies 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.
With EliseAI, organizations reduce manual work, improve accessibility, and deliver a seamless experience across essential services. The company recently raised a $250 million Series E round led by Andreessen Horowitz to accelerate this mission.
About The Role
As a Senior Data Engineer, you will be a crucial member of the Engineering team, driving the 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 decision-making processes. Your work will directly impact how products are developed, operations optimized, and value delivered to customers.
Key Responsibilities
The candidate will own the data pipeline, playing a crucial role in designing, implementing, and maintaining the data infrastructure and ETL pipelines. The role leads the engineering team to ensure all code processes produce meaningful data stored in a performant manner. This data process powers client-facing reporting and informs internal decisions and strategy.
Core Objectives:
- Build and maintain high-quality data solutions and large-scale data pipelines processing 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
- Support data-driven decision-making through metrics datasets and dashboards
- Collaborate across teams to optimize and improve data quality while delivering user-centric experiences
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, especially 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
- Experience with real-time data streaming platforms
- Familiarity with DBT, Airflow
Mindset
- Entrepreneurial and ambitious; gritty, ‘roll-up-your sleeves’ attitude
- Hardworking
- Action-oriented with the ability to influence others
- Self-starter mentality, yet a team player with a collaborative approach
- Ego-free
- Direct and clear communicator
- Willingness to work in person at the office 4-5 days a week
Why Join
Growth and impact. The opportunity to get in on the ground floor of a funded unicorn startup scaling fast. Instead of following a playbook, you write it daily. You face challenges to identify scaling and execution opportunities and learn from successes and failures with support from the rest of the team.
Benefits
Competitive salaries along with benefits including:
- Equity in the company as stock options
- Medical, dental, and vision premiums covered at 100%
- Fully paid parental leave
- Commuter benefits
- 401k benefits
- Monthly fitness stipend
- Collaborative in-office environment with open floor plan, fully stocked kitchen, company-paid lunch
- Fun company social events through Elise and the City program
- Unlimited vacation and paid holidays
- Relocation packages to make the move exciting and painless
Job Compensation Range
Salary range: $240,000 - $300,000. Total rewards package includes base salary, equity, and comprehensive benefits and perks. Compensation and bonuses depend on experience, skill, location, and qualifications assessed during interviews. More details provided by Recruiting Team during hiring process.
Equal Employment Opportunity
EliseAI provides equal employment opportunities and prohibits discrimination and harassment of any kind based on protected characteristics.
Employment is on an "at-will" basis, meaning either employee or company may terminate employment at any time without cause or notice.
Qualified applicants with arrest and conviction records considered per San Francisco Fair Chance Ordinance.
For assistance or reasonable accommodation in application or recruiting process due to disability, contact [email protected].
How to Apply
To apply for this job, please visit the job application page by clicking the "Apply for this Job" button on the original job posting.
If you need assistance or reasonable accommodation during the application or recruiting process due to a disability, please contact us at [email protected].