Senior Data Engineer

About EliseAI

We're improving the industries that matter most: housing and healthcare. Everyone needs a place to live and access to quality healthcare, yet both are often harder to secure than they should be. By integrating AI agents deeply into existing workflows, we make them more efficient, reduce costs, and improve the experience for everyone.

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.

Key Responsibilities

• Completely own our data pipeline, designing, implementing, and maintaining our data infrastructure and ETL pipelines.
• Lead the engineering team in ensuring all code processes produce meaningful data that is stored in a performant manner.
• Promote data quality and ensure data is optimized for cross-functional teams.
• Develop client-facing reporting solutions and metrics datasets.
• Support data-driven decision-making through the creation of metrics datasets and dashboards.
• Collaborate across teams to optimize and improve data quality while delivering user-centric experiences.

Core Objectives

• Build and maintain 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.

Requirements

• 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.
• Able to work independently and as part of a team.
• Excellent organizational and time management skills.
• Adaptable to learn and work with new technologies.
• Passion for maintaining high data quality standards.

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.

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.