Senior Data Engineer

About EliseAI

EliseAI develops cutting-edge conversational AI technology for industries fundamental to our lives: housing and healthcare. Everything is built on the foundation of health and home. Broken systems or ineffective processes in these domains have a disproportionate impact on our quality of life and society’s overall wellbeing. Conversely, any solution or technology that solves problems in these areas will have an impact that ripples far beyond them.

That’s the only kind of impact we are interested in having at EliseAI.

If you get excited by the thought of working really hard on these kinds of problems, then EliseAI is the right place for you.

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. We are a fully in-office company with a beautiful new office located at E 33rd Street and Park Ave.

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 Objective:

• 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

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
• Willing to work in person at NYC headquarters with your team 4-5 days per week

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

Who you are

• Entrepreneurial and ambitious; gritty, ‘roll-up-your sleeves’ attitude
• Hardworking
• Action-orientated with the ability to influence others
• Self-starter mentality, yet a team player with a collaborative approach
• Ego-free
• Direct and clear communicator

Why join

Growth and impact. It’s not often that you can get in on the ground floor of a funded startup that’s scaling. That means that instead of following a playbook, you’ll be writing it. You’ll be learning by constantly shipping products, measuring their impact and refining through data. You’ll work with other talented Data Analysts to help hone and grow your analytical skills.

Every single day you will be challenged to identify how we can scale and execute on it. You’ll learn what works when you succeed and what doesn’t when you fail. Either way, the rest of the team will be here to support you.

Benefits

In addition to the growth and impact you’ll have at EliseAI, we offer competitive salaries along with the following benefits:

• Equity in the company in the form of stock options
• Medical, Dental and Vision premiums covered at 100%
• Fully paid parental leave
• Commuter benefits
• 401k benefits
• Monthly fitness stipend
• Our brand new Midtown south office with an open floor plan, fully stocked kitchen, and company paid lunch
• Unlimited vacation and paid holidays
• We'll cover relocation packages from outside of the Greater NYC metro area - we'll make the move exciting, not painful.

Job Compensation Range:

The salary range for this role is $240,000 - $300,000. EliseAI offers a competitive total rewards package which includes base salary, equity, and a comprehensive benefits & perks package. Exact compensation inclusive of salary and any bonuses is determined based on a number of factors including experience and skill level, location and qualifications which are assessed during the interview process. Additional details about total compensation and benefits will be provided by our Recruiting Team during the hiring process.

EliseAI provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at [email protected].

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