Senior Data Engineer, EliseAI

• 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
• Attract top-tier talent to join our driven team
• 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

Desirable

• 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
• 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
• 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