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# Data Engineer

- **Company:** IDEXX Laboratories, Inc
- **Location:** New York, NY, United States
- **Experience:** Expert
- **Salary:** $130,000
- **Contract:** Permanent contract
- **Skills:** Sql Data Warehouse, Airflow, Amazon Web Services, Amazon S3, Clinical Data Repository, Cloud Computing, Cloud Engineering, Code Review, Information Systems, Data as a Services, Information Engineering, Data Governance, Python (Programming Language), SQL Databases, Workflow Management Systems, Data Storage Technologies, Snowflake, AI Coding Agents, Containerization, Information Technology, Data Management, Data Delivery, Streamlit Framework, Software Version Control, Data Pipelines
- **Published:** November 13, 2026
- **Apply:** https://www.careerbuilder.com/job-details/data-engineer-new-york-ny--55aa5e68-8719-4df4-8dfe-0e11b4a54981

## About the Role

Analysis Skills, Data Management, Cloud Computing, Biostatistics, Amazon Web Services (AWS), Product Support, Data Modeling, Testing, Clinical Data, Test Plan/Schedule, * 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.

## Description

As a Data Engineer on the Medical Data Insights team, you will build and maintain the data pipelines, models, and tools that turn IDEXX medical data into trusted, analysis-ready assets. You will work across a modern cloud stack, including Snowflake, dbt, Airflow, and AWS, to move data from source systems into curated data products that support analysts, biostatisticians, and business partners.

Why this role matters

Our team has many projects in flight, and their long-term success depends on efficient engineering, reliable testing, and consistent monitoring. Your organization and written communication will be as important to this role as your technical skills. You'll get to work closely with our medical team, turn data into clinical insights that help them do their jobs, and make our tools easy, reliable, and valuable as they scale.

In this role

 * 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.