Senior Database Engineer II

Abbott is a global healthcare leader that helps people live more fully at all stages of life. Our portfolio of life-changing technologies spans the spectrum of healthcare, with leading businesses and products in diagnostics, medical devices, nutritionals and branded generic medicines. Our 115,000 colleagues serve people in more than 160 countries.

Working at Abbott At Abbott, you can do work that matters, grow, and learn, care for yourself and your family, be your true self, and live a full life. You’ll also have access to:

• Career development with an international company where you can grow the career you dream of.

• Employees can qualify for free medical coverage in our Health Investment Plan (HIP) PPO medical plan in the next calendar year.

• An excellent retirement savings plan with a high employer contribution.

• Tuition reimbursement, the Freedom 2 Save student debt program, and FreeU education benefit - an affordable and convenient path to getting a bachelor’s degree.

• A company recognized as a great place to work in dozens of countries worldwide and named one of the most admired companies in the world by Fortune.

• A company that is recognized as one of the best big companies to work for as well as the best place to work for diversity, working mothers, female executives, and scientists.

The Opportunity

The position of Senior Database Engineer II is within our Infectious Disease business unit located at the Towne Centre site in San Diego, California.  This position is on site.

We’re empowering smarter medical and economic decision-making to help transform the way people manage their health at all stages of life. Every day, more than 10 million tests are run on Abbott’s diagnostics instruments, providing lab results for millions of people. 

What You’ll Work On

• Build and maintain scalable data pipelines and data integration processes using Azure Data Factory.

• Serve as the primary technical contact for system integration efforts with internal and external teams.

• Lead the design, selection, and implementation of modern data platforms and analytics solutions, including Databricks, Azure OneLake, Azure Synapse Analytics, and Snowflake.

• Design and implement conceptual, logical, and physical data models that support business needs in cloud-based environments.

• Provide technical leadership and support for System Integration Testing (SIT) and User Integration Testing (UIT) involving enterprise IT systems.

• Design and support multi-tenant database architectures and database sharding strategies to optimize performance and scalability.

• Develop and promote data engineering standards, best practices, and governance processes across teams.

• Conduct code reviews and design reviews to ensure quality, consistency, and adherence to standards.

• Partner with business and technical stakeholders to deliver reliable, scalable, and cost-effective data solutions.

• Share expertise and educate teammates on modern data engineering concepts and best practices.

• Work closely with geographically dispersed teams and cross-functional partners.

• Collaborate with Verification & Validation (V&V) teams to support testing and quality initiatives.

• Participate actively in Agile/Scrum ceremonies and team activities.

• Evaluate current development processes and recommend improvements to enhance efficiency and quality.

• Identify complex business and technical challenges and develop effective solutions.

• Troubleshoot and resolve data, integration, and system issues in dynamic environments.

• Recommend multiple solution options and guide teams toward the best approach.

• Ensure data solutions meet established quality, security, and compliance standards.

Required Qualifications

• Experience in delivering products for the Medical Device industry.

• 7+ years of experience in software development involving database design.

• Bachelor of Science, Computer Engineering, Computer Science or equivalent experience.

Preferred Qualifications

• Experience with Azure SQL Database, Azure Synapse, Mongo DB, Databricks.

• Master's degree in computer science or similar degree.

• Developing using Python and T-SQL.

• Experience with RDBMS and NoSQL

• Hands on experience crafting and implementing data pipelines across large scale systems.

• Experience implementing data pipelines with Azure is a must.

• Production delivery experience in Cloud based PaaS related technologies (Azure SQL Database. Azure Synapse)

• Experienced in multiple Cloud PaaS persistence technologies, and in-depth knowledge of cloud based ETL offerings and orchestration technologies.

• Experience with OLTP and OLAP.

• Experienced in stream-based and batch processing applying modern technologies

• Database design skills including normalization/de-normalization and data warehouse design.

• Experience in Disaster Recovery procedures and geo-redundant strategies. 

• Understanding of Distributed File Systems (Azure Blob Storage, HDFS)

• Knowledge and understanding of relevant legal and regulatory requirements, such as SOX, PCI, HIPAA, Data Protection

• Strong Programming Experience - Python / SQL etc.

• Experience in the healthcare industry,

Learn more about our health and wellness benefits, which provide the security to help you and your family live full lives: https://abbottbenefits.com/

Follow your career aspirations to Abbott for diverse opportunities with a company that can help you build your future and live your best life. Abbott is an Equal Opportunity Employer, committed to employee diversity.

Connect with us at abbott.com, on LinkedIn at https://www.linkedin.com/company/abbott-/, and on Facebook at https://www.facebook.com/AbbottCareers.

The base pay for this position is $100,000.00 – $200,000.00. In specific locations, the pay range may vary from the range posted.