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  • Emplois similaires à : Senior Data Engineer - AI-Driven Pipelines & Databricks
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AI/ML Data Engineer (Databricks)Ortho Clinical Diagnostics • San Diego, California, United States
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AI/ML Data Engineer (Databricks)

Ortho Clinical Diagnostics
  • US
    San Diego, California, United States
  • US
    San Diego, California, United States
Postuler Maintenant

À propos

About the Company QuidelOrtho unites the strengths of Quidel Corporation and Ortho Clinical Diagnostics, creating a world‑leading in vitro diagnostics company with award‑winning expertise in immunoassay and molecular testing, clinical chemistry and transfusion medicine. We are more than 6,000 strong and do business in over 130 countries, providing answers with fast, accurate and consistent testing where and when they are needed most – home to hospital, lab to clinic. Role Overview AI/ML Data Engineer – Global Data and Analytics team. Design, build and optimize data pipelines and infrastructure using Databricks to support AI and machine learning (ML) initiatives. Work closely with business stakeholders to identify high‑value AI/ML use cases and translate business requirements into technical solutions. Deploy AI/ML solutions at scale leveraging Azure services and Databricks tools. Hybrid schedule at San Diego (Summers Ridge) office. 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 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. Required Qualifications Bachelor's degree in Computer Science, Engineering or related field (or equivalent experience). 1‑3 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%. Position is not currently eligible for visa sponsorship. Preferred Qualifications Experience with real‑time data processing using Apache Kafka or Azure Event Hubs. Master's degree in Computer Science or related technical fields. Key Working Relationships Internal Partners – Regular collaboration with business stakeholders, data engineers, cross‑functional teams and IT to ensure successful integration of data pipelines and AI/ML models. External Partners – Customers and Vendors. Travel Minimal travel required up to 5‑10%. Includes airplane, automobile travel and overnight hotels. Salary & Benefits Salary range: $70,000 to $80,000 and bonus eligible. Comprehensive benefits package includes medical, dental, vision, life and disability insurance, 401(k), employee assistance program, Employee Stock Purchase Plan, paid time off (including sick time) and paid holidays. All benefits are non‑contractual and may be amended, terminated or enhanced at the company's discretion. Equal Opportunity QuidelOrtho believes in Equal Opportunity for all and is committed to ensuring all individuals, including individuals with disabilities, have an opportunity to apply for positions that they are interested in and qualify for without regard to race, religion, color, national origin, citizenship, sex, sexual orientation, gender identity, age, veteran status, disability, genetic information or any other protected characteristic. QuidelOrtho is also committed to providing reasonable accommodations to qualified individuals so that an individual can perform their job‑related duties. If you are interested in applying for an employment opportunity and require special assistance or an accommodation to apply due to a disability, please contact recruiting@quidelortho.com.
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  • San Diego, California, United States

Compétences linguistiques

  • English
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