Lead Data Engineer
LumosSalary not specified
Full Time
Expert & Leadership (9+ years)
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
AI, Healthcare, HousingIndustries
Skills
Key technologies and capabilities for this role
Questions & Answers
Common questions about this position
What technical skills are required for the Senior Data Engineer role?
Required technical skills include 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, ETL design, implementation, and maintenance, knowledge of data warehousing solutions particularly Snowflake, and understanding of development workflows and best practices.
What professional skills are needed for this position?
The role requires 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, and adaptability to learn.
Is this a remote position or does it require office work?
This information is not specified in the job description.
What is the salary or compensation for the Senior Data Engineer role?
This information is not specified in the job description.
What kind of experience makes a strong candidate for this role?
A strong candidate will have 4+ years of professional experience in data engineering, proficiency in Python, hands-on experience with PostgreSQL, data modeling, ETL pipelines, and Snowflake, along with strong problem-solving, communication, and collaboration skills.
EliseAI
Conversational AI solutions for businesses
About EliseAI
EliseAI provides conversational artificial intelligence solutions tailored for businesses in the real estate and healthcare sectors. The platform automates customer interactions and operational workflows, integrating with existing systems like Property Management Systems and Customer Relationship Management systems. For real estate clients, EliseAI streamlines the leasing process with tools for automated tour scheduling and virtual tour management, allowing potential renters to receive responses and schedule appointments 24/7. In healthcare, EliseAI acts as an AI assistant to manage patient inquiries and appointment scheduling, enhancing efficiency in medical facilities. The company operates on a Software-as-a-Service model, charging subscription fees based on service levels and customization. EliseAI's goal is to improve operational efficiency and customer satisfaction by automating routine tasks and providing valuable insights through analytics.
New York City, New YorkHeadquarters
2017Year Founded
$138MTotal Funding
SERIES_DCompany Stage
Enterprise Software, AI & Machine Learning, Real Estate, HealthcareIndustries
201-500Employees
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
Fun company social events through our Elise and the City program
Unlimited vacation and paid holidays
Risks
Increased competition from companies like Colleen AI and Funnel may erode market share.
Expansion into healthcare faces challenges due to regulatory requirements and integration issues.
Reliance on proprietary technology poses risks if competitors develop superior solutions.
Differentiation
EliseAI integrates seamlessly with PMS, CRM, and calendar applications for efficient communication.
The platform handles 50% of tour appointments, with 27% scheduled after business hours.
EliseAI supports multiple languages, enhancing its utility in diverse markets.
Upsides
EliseAI's Series D funding of $75M boosts its market expansion and product development.
The platform's AI-driven predictive analytics improve rental pricing and occupancy forecasting.
Growing demand for AI in telehealth services aligns with EliseAI's HealthAI expansion.
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