Senior Data Engineer - AI Pipelines & Data Platform

IDEXX Laboratories, Inc

Westbrook (ME)

Hybrid

USD 150,000 - 190,000

Full time

7 days ago
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Benefits offered by this job

Competitive Salary
Annual cash bonus
Health/Dental/Vision Benefits Day-One
401k matching
25 Holidays per year
Pet insurance
Additional benefits

Job summary

IDEXX Laboratories, Inc is seeking a Principal Data Engineer at our Westbrook, ME site. You will design and maintain data pipelines powering AI model training for IDEXX inVue Dx and other AI-powered diagnostics.

You will work hands-on with Databricks, dbt Core, and Snowflake, mentoring peers and aligning with Data Science and MLE teams. This senior role requires leadership on testing, deployment, and data modeling.

Qualifications

  • 7+ years of experience in data engineering or a closely related field with production exposure.
  • Strong SQL and Python skills with hands-on dbt experience.
  • Experience with modern cloud data platforms (Databricks and Snowflake) and CI/CD tooling.

Responsibilities

  • Design, build, and maintain fault-tolerant production data pipelines.
  • Own delivery of a piece of the team’s roadmap and collaborate with DS/MLE teams.
  • Write and review code, tests, and documentation to engineering standards.
  • Troubleshoot pipeline failures and implement data quality monitoring.
  • Contribute to Snowflake integration and history tracking work.
  • Mentor junior/mid data engineers on code quality and modeling best practices.
  • Review PRs, pair on challenging problems, and help triage Jira tickets.
  • Participate in interviewing and help set testing/deployment standards.

Skills

SQL
Python
dbt
Databricks
Snowflake
CI/CD
GitHub
Mentoring
Data modeling

Tools

Databricks
dbt Core
Snowflake

Job description

IDEXX Laboratories, Inc is seeking a Principal Data Engineer at our Westbrook, ME site. You will design and maintain data pipelines powering AI model training for IDEXX inVue Dx and other AI-powered diagnostics.

You will work hands-on with Databricks, dbt Core, and Snowflake, mentoring peers and aligning with Data Science and MLE teams. This senior role requires leadership on testing, deployment, and data modeling.

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