Senior Data Engineer

Company: QuidelOrtho
Location: San Diego
Posted on: April 14, 2025

Job Description:

The OpportunityQuidelOrtho 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.Our culture puts our team members first and prioritizes actions that support happiness, inspiration and engagement. We strive to build meaningful connections with each other as we believe that employee happiness and business success are linked. Join us in our mission to transform the power of diagnostics into a healthier future for all.The RoleAs we continue to grow as QuidelOrtho, we are seeking a Senior Data Engineer is responsible for designing, developing, and optimizing data pipelines and workflows to support business intelligence and analytics initiatives. With extensive experience in Azure Databricks and Azure Data Factory, the Senior Data Engineer will play a key role in transforming raw data into actionable insights, enabling data-driven decision-making across the organization.This position is eligible for remote.The Position

• Design, develop, and maintain scalable and reliable data pipelines using Azure Databricks and Azure Data Factory.
• Implement ETL processes to integrate data from various sources into a centralized data warehouse or lake.
• Collaborate with data scientists, analysts, and business stakeholders to understand data requirements and deliver solutions that meet their needs.
• Optimize performance of big data workflows and ensure efficient processing of large datasets.
• Monitor and troubleshoot data pipelines to ensure data quality and consistency.
• Develop and enforce best practices for data engineering, including version control, testing, and deployment.
• Ensure compliance with data governance and security standards.
• Provide mentorship to junior team members and contribute to team knowledge sharing.
• Perform other work-related duties as assigned.The IndividualRequired:
  • Bachelor's degree in Computer Science, Information Technology, or a related field.
  • This position is not currently eligible for visa sponsorship.
  • 5+ years of experience in data engineering with a strong focus on Azure Databricks and Azure Data Factory.
  • Proven experience in designing and implementing big data solutions and cloud-based architectures.
  • Expertise in Azure Databricks, Azure Data Factory, and other Azure data services.
  • Strong programming skills in Python, SQL, and Spark.
  • Familiarity with data modeling, data warehousing, and ETL processes.
  • Knowledge of data governance, security, and compliance standards.
  • Strong problem-solving skills and ability to troubleshoot complex data workflows.
  • Excellent communication and collaboration skills.Preferred:
    • Experience with DevOps practices and tools for CI/CD in data engineering workflows is a plus.The Key StakeholdersInternal Partners:
      • Cross functional teams such as data scientists, business analysts, and IT professionalsExternal Partners:
        • Contractors, vendors, and consultants.The Work EnvironmentNo strenuous physical activity, though occasional light lifting of files and related materials is required. 30% of time in meetings, working with team, or talking on the phone, 70% of the time at the desk on computer, doing analytical work. Minimal travel required. Travel includes airplane, automobile travel and overnight hotel.Physical Demands Works for lengthy periods of time in sitting or standing position and for lengthy periods of time using a computer. Position may require travel, up to 10%, travel includes airplane, automobile travel and overnight hotel. At times, this role demands flexible work hours to meet deadlines, maintain system availability and support business continuity.Salary TransparencyThe salary range for this position takes into account a wide range of factors including education, experience, knowledge, skills, geography, and abilities of the candidate, in addition to internal equity and alignment with market data. At QuidelOrtho, it is not typical for an individual to be hired at or near the top range for their role and compensation decisions are dependent on the facts and circumstances of each case. The salary range for this position is $140,000 - $150,000 [and is bonus eligible or eligible for incentive compensation.] QuidelOrtho offers a comprehensive benefits package including medical, dental, vision, life, and disability insurance, along with a 401(k) plan, employee assistance program, Employee Stock Purchase Plan, paid time off (including sick time), and paid Holidays. All benefits are non-contractual, and QuidelOrtho may amend, terminate, or enhance the benefits provided, as it deems appropriate.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 those 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 the 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 us at .

Keywords: QuidelOrtho, Irvine , Senior Data Engineer, Engineering , San Diego, California