• We are seeking a skilled and experienced Data Engineer to join our team
• Technical skills
• Bachelor's Degree or equivalent in Math, Economics, Statistics, Engineering, Computer Science, Operations Research, Machine Learning or other quantitative field
• 4+ years of professional experience in data engineering
• Solid working knowledge of Python programming and SQL
• Experience with PostgreSQL or other relational databases
• Proven experience in data modeling and database design
• Familiarity with AWS services and cloud-based data solutions
• Experience with ETL design, implementation, and maintenance
• Knowledge of data warehousing solutions, particularly Snowflake
• Familiarity with business intelligence tools like Tableau
• 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
• Entrepreneurial; gritty, ‘roll-up-your sleeves’ attitude
• Hardworking
• Organized
• 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

Desirable

• EliseAI’s Analytics team is devoted to driving data-driven decision making across the company. You’ll work with stakeholders making the big choices that drive our growth for years to come, and perform the analysis that identifies strategic opportunities for us
• As a Data Engineer, you will be a crucial member of our Data and Analytics team, driving our mission to leverage data as a strategic asset. You’ll work closely with cross-functional teams, including product, engineering, and analytics, to build and maintain 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
• The ideal candidate will play a crucial role in designing, implementing, and maintaining our data infrastructure and ETL pipelines
• Design, develop, and maintain scalable data pipelines and ETL processes
• Optimize data flow and collection for cross-functional teams
• Improve data reliability, efficiency, and quality
• Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics
• Work with stakeholders to assist with data-related technical issues and support their data infrastructure needs
• Create data tools for analytics and data scientist team members that assist them in building and optimizing our product
• Implement and maintain data quality checks and monitoring systems
• Develop client-facing reporting solutions
• 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