Lead Analytics Engineer - Data Modeling & Quality

Triwill Group; United States; On-site; USD 130,000 - 170,000; Full time

Job summary

Triwill Group in the United States is seeking a Lead Analytics Engineer - Data Modeling & Quality. This senior role focuses on making healthcare data reliable, scalable, and analytically useful.

You will own the SQL and DBT layer that transforms clinical and claims data into trusted production-grade datasets. You will work with Data Engineering, Customer Success, and other teams to investigate data issues, improve reliability, and establish modeling standards and quality frameworks, while

Qualifications

• Senior analytics engineer focusing on data reliability and quality in healthcare analytics.

Responsibilities

• Own the SQL and DBT layer transforming clinical and claims data into trusted production-grade datasets.
• Ensure data reliability and quality for analytics use cases across healthcare data.
• Collaborate with Data Engineering, Customer Success, and other teams to investigate data issues and drive improvements.
• Help establish modeling standards, data quality frameworks, and operational processes.
• Leverage AI tools to increase efficiency and data accuracy.

Skills

SQL

DBT

Job description

Description:

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Lead Analytics Engineer - Data Modeling & Quality based in United States.

This is a senior analytics engineering role focused on making healthcare data reliable, scalable, and analytically useful.

You will own the SQL and DBT layer that transforms complex clinical and claims data into trusted, production-grade datasets.

The role sits at the intersection of advanced data modeling, data quality, healthcare analytics, and client-facing problem solving.

You will work closely with Data Engineering, Customer Success, and other technical teams to investigate issues and improve data reliability.

Rather than focusing primarily on infrastructure, you will own the logic, structure, validation, and trustworthiness of the data itself.

You will also help establish modeling standards, quality frameworks, and operational processes while leveraging AI tools to improve efficiency.

This is an opportunity to become a recognized technical leader while directly improving the data foundations that support better healthcare decisions.