Data Engineer

IDEXX is hiring a Data Engineer on its Medical Data Insights team to build and maintain pipelines, models, and tools that turn medical data into trusted, analysis-ready assets. The role develops and supports cloud data products and internal applications, ensuring reliable data delivery and quality for analysts, biostatisticians, and business partners.

Responsibilities:

• You'll design, build, and maintain reliable ELT pipelines that ingest, transform, and deliver medical data at scale
• You'll develop modular, tested, and well-documented transformation models in dbt on Snowflake
• You'll orchestrate, schedule, and monitor workflows in Airflow to ensure timely and accurate data delivery
• You'll deploy and support data services on AWS, including containerized workloads on ECS and data storage on S3
• You'll build lightweight internal data applications and tools in Streamlit for analysts and business stakeholders
• You'll write clear, thorough documentation for pipelines, data models, and applications
• You'll organize and track work across multiple concurrent projects, keeping priorities, status, and open questions visible to the team
• You'll identify and resolve data quality issues such as missing, duplicate, or incorrect data, and implement checks to prevent them
• You'll follow and contribute to team standards for naming conventions, code review, version control, testing, and data governance
• You'll use AI coding tools to accelerate development, testing, and documentation while maintaining high-quality standards

Requirements:

• Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field, or an equivalent combination of education and experience
• 5+ years of professional experience in data engineering or a closely related role
• Strong proficiency in SQL and Python
• Hands-on experience building transformations with dbt
• Experience with Snowflake or a comparable cloud data warehouse
• Working knowledge of AWS services, particularly ECS and S3
• Experience with workflow orchestration using Airflow or similar tools
• Experience building data applications or dashboards
• A demonstrated commitment to documentation, with the ability to write clear technical and process documentation for both technical and non-technical audiences
• Excellent organizational skills, with the ability to manage multiple projects, prioritize effectively, and adapt to changing business needs
• Strong written and verbal communication skills
• Initiative and self-motivation to work with minimal supervision and exercise sound independent judgment