Remote Analytics Platform Engineer Lead

IDEXX; Portland (ME); Remote; USD 140,000 - 160,000; Full time

Benefits offered by this job

Health/Dental/Vision benefits Day-One

Annual cash bonus

5% 401k match

Job summary

IDEXX is seeking an analytics-focused Data Engineer to own the DI&T analytics data platform and its semantic layer. You will set the technical direction and build scalable data products for financial, clinical, and operational analytics.

You will mentor teams, enforce standards, and drive data quality, while converging on architectures that support AI-enabled solutions. This is a fully remote role with occasional travel to HQ.

Qualifications

• 7+ years in data engineering, analytics, data architecture, or related field.
• Experience leading production data platforms or enterprise-scale analytics environments.
• Deep dbt and strong architectural judgment for modular, maintainable data products.
• Deep Snowflake expertise including performance tuning and cost optimization.
• Advanced dimensional, wide-table, and hybrid modeling for scalable analytics.
• Expert SQL with production code review and optimization.
• Production data pipelines, orchestration, monitoring, and troubleshooting.
• Strong Git, CI/CD discipline across a technical team.
• Python or scripting experience; AI-assisted development tools familiarity.

Responsibilities

• Owns and leads the technical strategy and architecture for the DI&T analytics data platform and semantic layer.
• Designs scalable data models and curated datasets for trusted analytics across business domains.
• Defines the analytics semantic layer with standardized metrics, definitions, and lineage.
• Leads production data pipelines and integration from multiple enterprise sources.
• Translates business requirements into scalable data solutions in collaboration with stakeholders.
• Addresses complex cross-system data problems and evaluates trade-offs for scalable solutions.
• Establishes data modeling, engineering, and governance standards and documentation.
• Ensures data quality, validation, monitoring, and error handling in the analytics environment.
• Mentors data analysts and engineers in SQL, dbt, Git, testing, and best practices.
• Communicates technical concepts to both technical and non-technical audiences.

Skills

Data engineering

Analytics engineering

dbt

SQL

Snowflake

Python

Git

CI/CD

Airflow

Data modeling

Education

Bachelor's degree in computer science / data engineering / information systems

Tools

dbt

Snowflake

Git

Airflow

CI/CD tooling

Job description

IDEXX is seeking an analytics-focused Data Engineer to own the DI&T analytics data platform and its semantic layer. You will set the technical direction and build scalable data products for financial, clinical, and operational analytics.

You will mentor teams, enforce standards, and drive data quality, while converging on architectures that support AI-enabled solutions. This is a fully remote role with occasional travel to HQ.