Senior Data Engineer: Scale Data Pipelines & Insights

Elise A.I. Technologies Corp.; New York (NY); On-site; USD 240,000 - 300,000; Full time

Benefits offered by this job

Equity in the company

Medical, Dental and Vision premiums

Fully paid parental leave

Commuter benefits

401k benefits

Fitness & home services stipend

In-office meals covered

Unlimited vacation

relocation packages

Job summary

EliseAI is seeking a Senior Data Engineer to own and scale the data pipeline, build robust data infrastructure, and enable client-facing reporting. You’ll collaborate with product, operations, and analytics to drive data-driven decision making and product optimization.

The role demands 4+ years in data engineering, proficiency in Python, and experience with Snowflake and ETL design. A strong bias for data quality and collaboration is essential for success in our fast-growing environment.

Qualifications

• 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.

Responsibilities

• Own our data pipeline from design to maintenance.
• Lead the engineering team to ensure data quality and meaningful outputs.
• Build data infrastructure for client reporting and internal decision making.
• Collaborate with cross-functional teams across product, operations, and analytics.

Skills

Data engineering

Python

PostgreSQL

Data modeling

ETL design

Snowflake

Dev workflows

DBT

Airflow

AWS

Tools

DBT

Airflow

AWS

Job description

EliseAI is seeking a Senior Data Engineer to own and scale the data pipeline, build robust data infrastructure, and enable client-facing reporting. You’ll collaborate with product, operations, and analytics to drive data-driven decision making and product optimization.

The role demands 4+ years in data engineering, proficiency in Python, and experience with Snowflake and ETL design. A strong bias for data quality and collaboration is essential for success in our fast-growing environment.