Senior Database Engineer II

United States - California - San Diegosenior

Database EngineerData & AI

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Overview

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,

Technical Tools

Database EngineerData & AI

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.

What We Offer

~1 min read

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.

$100,000.00 – $200,000.00

In specific locations, the pay range may vary from the range posted.

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.

Requirements

~1 min read

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.

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,