AI/ML Data Engineer (Databricks)

Ortho Clinical Diagnostics

Closes tomorrow Hybrid

Quick summary

Work type
Hybrid
Location
San Diego, CA
Salary
$70,000–$80,000 / yr
Posted
5 days ago
Closes
Jun 18, 2026 (soon)
Nearby
99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $187k
This role $75k
$50k most similar roles pay here $254k

This role pays less than 99% of similar roles. Most pay $147,775–$226,600 — the shaded band above. At the midpoint, this role pays about $75k versus about $187k for comparable roles.

Based on 240 similar postings.

Employer

About Ortho Clinical Diagnostics

Ortho Clinical Diagnostics is a global in-vitro diagnostics company providing testing solutions for blood screening, immunohematology, and clinical laboratory testing to improve patient outcomes. Industry: In-Vitro Diagnostics & Medical Devices

Ortho Clinical Diagnostics currently has 2 open roles on FindRole.

Most-posted roles

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At a glance

TL;DR · AI/ML Data Engineer (Databricks)

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Join QuidelOrtho as an AI/ML Data Engineer supporting the Global Data and Analytics team, where you will design and optimize data pipelines using Databricks for large-scale AI and machine learning initiatives. Your day-to-day involves collaborating with business stakeholders to identify high-value use cases, developing scalable Apache Spark-based jobs, and implementing ETL processes in Azure Data Factory. You’ll also ensure the efficient deployment of ML solutions through CI/CD pipelines in Azure DevOps while adhering to data governance and security practices. Ideal candidates have 1-3 years of experience with Databricks, Python, Scala, and Azure services, along with a strong background in Apache Spark and hands-on expertise in building data pipelines for AI applications. This role offers the opportunity to work on impactful projects within a global diagnostics company that leverages cutting-edge technologies at scale.

Skills

Databricks Azure Apache Spark Python Scala Azure Data Factory Azure Blob Storage Azure Synapse Analytics Databricks Delta Lake MLflow Azure DevOps CI/CD Data Governance Cloud Security Delta Live Tables Unity Catalog

What you'll do

  • Design and develop scalable data pipelines using Databricks for AI/ML applications.
  • Work with business stakeholders to identify high-value AI/ML use cases and translate them into technical requirements.
  • Build and manage Apache Spark-based data processing jobs in Databricks, optimizing performance and resource efficiency.
  • Implement ETL/ELT processes and orchestrate workflows using Azure Data Factory and related services.
  • Monitor and troubleshoot issues within Databricks workflows to ensure smooth operation and minimal downtime.

What we're looking for

  • 1-3 years of experience in data engineering with focus on Databricks and AI/ML applications.
  • Expertise in Apache Spark and hands-on experience with Databricks for building scalable data pipelines.
  • Strong programming skills in Python and Scala for data engineering and ML workflows.
  • Experience with Azure Data Factory, Azure Data Lake, Blob Storage, and Synapse Analytics.
  • Proficiency with Databricks Delta Lake for optimizing data reliability and performance.
  • Knowledge of Azure DevOps for implementing CI/CD pipelines in Databricks-based projects.
  • Strong understanding of data governance, security practices, and compliance requirements.

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