Data Engineer

IDEXX

. Design, build, and maintain reliable ELT pipelines that ingest, transform, and deliver medical data at scale .

Posted 11/10/2026full-timeRemote • Maine • United StatesMid-LevelSenior💰 $130,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and maintaining ELT pipelines, developing transformation models in dbt on Snowflake, and orchestrating workflows in Airflow. Proficient in AWS services, particularly ECS and S3, with strong communication skills for collaboration across medical and analytical teams.

Highest-signal resume keywords

SQL ProficiencyPython ProficiencyDbt Transformation DevelopmentAWS Services ExperienceAirflow Workflow Orchestration

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data EngineeringELT Pipeline DesignTransformation ModelsWorkflow OrchestrationData Applications DevelopmentDocumentation WritingData GovernanceVersion ControlTesting StandardsPreventive Data Checks

Soft Skills

Strong Communication SkillsProject ManagementAdaptabilityInitiativeSelf-Motivation

Tools & Technologies

SnowflakeAWSECSS3AirflowStreamlitAI Coding Tools

Industry Keywords

Medical DataData AssetsData TransformationData WarehousingBiostatistics

Tech Stack

Tools & technologies

AirflowAWSCloudPythonSnowflakeSQL

About the role

Key responsibilities & impact

Design, build, and maintain reliable ELT pipelines that ingest, transform, and deliver medical data at scale
Develop modular, tested, and documented transformation models in dbt on Snowflake
Orchestrate, schedule, and monitor workflows in Airflow
Deploy and support data services on AWS, including containerized workloads on ECS and storage on S3
Build lightweight internal data applications and tools in Streamlit
Write documentation for pipelines, data models, and applications
Organize and track work across multiple concurrent projects
Identify and resolve missing, duplicate, or incorrect data and implement preventive checks
Follow and contribute to standards for naming conventions, code review, version control, testing, and data governance
Use AI coding tools to accelerate development, testing, and documentation
Collaborate with medical teams, analysts, biostatisticians, and business partners to create trusted, analysis-ready medical data assets

Requirements

What you’ll need

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
Ability to write clear technical and process documentation for technical and non-technical audiences
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

Benefits

Comp & perks

Opportunity for annual cash bonus
Health / Dental / Vision benefits on day one
5% matching 401k
Employee stock purchase plan
Competitive paid time off
On-the-job training
Career advancement opportunities
Virtual work arrangement anywhere in the US