QuidelOrtho · 2 days ago
AI/ML Data Engineer (Databricks)
US - CA - San Diego - Summers Ridge
Full-time
Hybrid
Mid Level
$85K/yr - $105K/yr
3+ years expQuidelOrtho is a world-leading in vitro diagnostics company formed by the unification of Quidel Corporation and Ortho Clinical Diagnostics. They are seeking an AI/ML Data Engineer to design, build, and optimize data pipelines and infrastructure using Databricks to support AI and machine learning initiatives, collaborating closely with business stakeholders to translate requirements into technical solutions.
Medical Device
No H1B
Responsibilities
Work directly with business stakeholders to identify and define AI/ML use cases, translating business needs into technical requirements
Design, develop, and optimize scalable data pipelines in Databricks for AI/ML applications, ensuring efficient data ingestion, transformation, and storage
Build and manage Apache Spark-based data processing jobs in Databricks, ensuring performance optimization and resource efficiency
Implement ETL/ELT processes and orchestrate workflows using Azure Data Factory, integrating various data sources such as Azure Data Lake, Blob Storage, and Microsoft Fabric
Collaborate with Data Engineering teams to meet data infrastructure needs for model training, tuning, and deployment within Databricks and Azure Machine Learning
Monitor, troubleshoot, and resolve issues within Databricks workflows, ensuring smooth operation and minimal downtime
Implement best practices for data security, governance, and compliance within Databricks and Azure environments
Automate data and machine learning workflows using CI/CD pipelines through Azure DevOps
Maintain documentation of workflows, processes, and best practices to ensure knowledge sharing across teams
Perform other work-related duties as assigned
Qualification
Required
Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent experience)
Minimum 3 years of experience in data engineering, with a strong focus on Databricks and AI/ML applications
Proven experience working directly with business stakeholders to identify and implement AI/ML use cases
Expertise in Apache Spark and hands-on experience with Databricks for building and optimizing data pipelines
Strong programming skills in Python and Scala for data engineering and machine learning workflows in Databricks
Experience with Azure Data Factory, Azure Data Lake, Azure Blob Storage, and Azure Synapse Analytics
Proficiency with Databricks Delta Lake for data reliability and performance optimization
Familiarity with MLflow and Databricks Runtime for Machine Learning for model management and deployment
Knowledge of Azure DevOps for implementing CI/CD pipelines in Databricks-based projects
Strong understanding of data governance, security practices, and compliance requirements in cloud environments
Familiarity with emerging Databricks features such as Delta Live Tables and Unity Catalog
Ability to travel up to 5-10%
This position is not currently eligible for visa sponsorship
Preferred
Experience with real-time data processing using Apache Kafka or Azure Event Hubs
Master's degree in Computer Science or related technical fields
Benefits
Medical
Dental
Vision
Life
Disability insurance
401(k) plan
Employee assistance program
Employee Stock Purchase Plan
Paid time off (including sick time)
Paid Holidays
Company
QuidelOrtho
> Bringing precision and passion in everything we do QuidelOrtho stands at the forefront of testing, tracking and disease analysis of health conditions ranging from HIV and hepatitis C to flu, strep and COVID-19.
5001-10000 employees
Funding
Current Stage
Late StageLeadership Team
Joe Busky, CPA
Chief Financial Officer
Michael Iskra
Executive Vice President and Chief Commercial Officer
Recent News
2025-12-18
2025-11-06
2025-11-06
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