USC3 IDEXX Distribution, Inc. dba IDEXX Ref LabsHiring

Senior Application Developer

  • USD 120,000 to 130,000 per year
  • Remote, United States
  • Senior
  • Posted 5 days ago
In one line

Senior developer on a clinical information services Scrum team, building data and machine learning pipelines that support medical insights for pet health.

About the role

Clinical data assets are the raw material, and the team turns them into inference pipelines, classification models and integrations that feed insight work. Close collaboration with data scientists and engineers across remote locations is how the work gets done.

At a glance

Pay
USD 120,000 to 130,000 per year
Remote scope
Remote, United States
Seniority
Senior
Skills
AWS, Databricks, Python, PySpark, Spark, SQL, Terraform, Snowflake
Posted
30 Oct 2026
Last checked
2 Nov 2026

What you will do

  • Design, build and run data and inference pipelines and integrations, plus machine learning classification and applications for clinical insi
  • Take a senior seat on the team, joining business planning and technical strategy and improving technology, process and development practices

What they look for

  • Hands-on with a major cloud provider, AWS preferred, including API Gateway, Lambda, SQS and S3.
  • Databricks plus Python, PySpark and Spark, and machine learning model building and inference.
  • Relational databases and SQL, GitHub and GitHub Actions, CI/CD systems and infrastructure as code with Terraform.
  • JIRA, Confluence, Slack and MS Teams, with Snowflake familiarity a plus.
  • Able to learn fast and mentor junior development and QA colleagues.

Nice to have

  • Familiarity with domain-driven design.

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Connector URL
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Questions about this job

Is this job fully remote, and from where?

The posting lists it as remote for people in the United States.

What does this job pay?

The posting states USD 120,000 to 130,000 per year.

What experience is needed?

It is a senior role. The posting asks for: hands-on with a major cloud provider, AWS preferred, including API Gateway, Lambda, SQS and S3; databricks plus Python, PySpark and Spark, and machine learning model building and inference; relational databases and SQL, GitHub and GitHub Actions, CI/CD systems and infrastructure as code with Terraform. Skills it names include AWS, Databricks, Python, PySpark.

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