Abbott Laboratories
Principal Engineer - Databases, Data Platform, MLOps
Abbott Laboratories, Alameda, California, United States, 94501
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 114,000 colleagues serve people in more than 160 countries.## **JOB DESCRIPTION:****ABOUT LINGO**
At Lingo, we’re building a groundbreaking health platform that combines continuous biosensor data, real-time analytics, and personalized insights to help people live fuller, longer, and healthier lives. Our systems ingest millions of sensor readings daily, powering experiences for consumers and partners worldwide, with the reliability and scalability of cloud-native, enterprise-grade platforms.**THE OPPORTUNITY**
We’re looking for a **Principal Engineer** to lead the technical vision for our database infrastructure and enterprise data platform. You will own architecture decisions that enable large-scale, reliable, and secure data systems spanning batch, streaming, and real-time workloads. While AI and MLOps are emerging areas for us, you’ll play a key role in laying a foundation for future machine learning capabilities. This role combines hands-on engineering with tech strategic leadership across databases and data pipelines.This is an opportunity to shape the foundation of a platform that will support millions of users globally.**WHAT YOU’LL DO*** Design and maintain database systems across relational, NoSQL, and time-series technologies* Implement performance tuning, indexing, sharding, replication, and failover strategies* Develop standards for schema design, migrations, and capacity planning* Architect and optimize data pipelines using Spark, Flink, Kafka, Airflow, or equivalent* Evolve our data platform to support batch, streaming, and real-time needs as well as define backups, restore testing, patching, and security controls to ensure compliance* Drive data quality, observability, lineage tracking, and efficient resource usage* Coordinate with stakeholders to define and enforce data modeling practices* Design our MLOps foundations and practices such as data preparation, reproducibility, and monitoring* Drive integration points for future ML model deployment and vector database use cases.* Serve as a technical anchor across data and ML domains, providing architectural guidance and code reviews for complex systems* Author technical RFCs, architecture decision records, and engineering standards adopted across teams* Mentor engineers, raise the bar on engineering excellence and best practices* Collaborate with Product, Security, Compliance, and Infrastructure teams to align data strategy with business objectives* Represent the organization in vendor evaluations, open-source community engagement, and industry forums**REQUIRED QUALIFICATIONS*** **10+ years** of software engineering experience with **7+ years** focused on databases, data engineering, or ML infrastructure* Deep knowledge of relational and NoSQL databases, query optimization, replication, and sharding.* Experience building and operating large-scale data pipelines* Strong SQL and data modeling skills (dimensional, 3NF, Data Vault).* Familiarity with cloud-native data services (AWS, Azure, GCP).* Proven ability to lead cross-functional technical initiatives.**PREFERRED QUALIFICATIONS*** Exposure to vector databases (pgvector, Pinecone, Milvus) and generative AI retrieval patterns.* Knowledge of regulated industry requirements (HIPAA, SOC2, GDPR).* Experience with Kubernetes and containerized data workloads.* Understanding of FinOps and data infrastructure cost optimization.**LINGO CULTURE**
At Lingo, our Culture Compass guides everything:* **Customer First**: Deliver exceptional experiences to transform health.* **Quality**: Uphold the highest standards in everything we ship.* **Growth**: Continuously improve us, our teams, and our processes.* **Unity**: One team, one purpose, shared trust and mutual respect.As a **Principal Engineer - Databases, Data & MLOps**, you’ll live this culture by building strong bridges between application and infrastructure teams, ensuring that we deliver a seamless, secure, and reliable platform experience.**The base pay for this position is**$128,000.00 – $256,000.00In specific locations, the pay range may vary from the range posted.## **JOB FAMILY:**Product Development## **DIVISION:**LNGO Lingo## **LOCATION:**United States > Alameda : 2901 Harbor Bay Parkway## **ADDITIONAL LOCATIONS:**## **WORK SHIFT:**Standard## **TRAVEL:**Yes, 10 % of the Time## **MEDICAL SURVEILLANCE:**No## **SIGNIFICANT WORK ACTIVITIES:**Continuous sitting for prolonged periods (more than 2 consecutive hours in an 8 hour day), Continuous standing for prolonged periods (more than 2 consecutive hours in an 8 hour day)Abbott is an Equal Opportunity Employer of Minorities/Women/Individuals with Disabilities/Protected Veterans.EEO is the Law link - English: http://webstorage.abbott.com/common/External/EEO\_English.pdfEEO is the Law link - Espanol: http://webstorage.abbott.com/common/External/EEO\_Spanish.pdf #J-18808-Ljbffr
At Lingo, we’re building a groundbreaking health platform that combines continuous biosensor data, real-time analytics, and personalized insights to help people live fuller, longer, and healthier lives. Our systems ingest millions of sensor readings daily, powering experiences for consumers and partners worldwide, with the reliability and scalability of cloud-native, enterprise-grade platforms.**THE OPPORTUNITY**
We’re looking for a **Principal Engineer** to lead the technical vision for our database infrastructure and enterprise data platform. You will own architecture decisions that enable large-scale, reliable, and secure data systems spanning batch, streaming, and real-time workloads. While AI and MLOps are emerging areas for us, you’ll play a key role in laying a foundation for future machine learning capabilities. This role combines hands-on engineering with tech strategic leadership across databases and data pipelines.This is an opportunity to shape the foundation of a platform that will support millions of users globally.**WHAT YOU’LL DO*** Design and maintain database systems across relational, NoSQL, and time-series technologies* Implement performance tuning, indexing, sharding, replication, and failover strategies* Develop standards for schema design, migrations, and capacity planning* Architect and optimize data pipelines using Spark, Flink, Kafka, Airflow, or equivalent* Evolve our data platform to support batch, streaming, and real-time needs as well as define backups, restore testing, patching, and security controls to ensure compliance* Drive data quality, observability, lineage tracking, and efficient resource usage* Coordinate with stakeholders to define and enforce data modeling practices* Design our MLOps foundations and practices such as data preparation, reproducibility, and monitoring* Drive integration points for future ML model deployment and vector database use cases.* Serve as a technical anchor across data and ML domains, providing architectural guidance and code reviews for complex systems* Author technical RFCs, architecture decision records, and engineering standards adopted across teams* Mentor engineers, raise the bar on engineering excellence and best practices* Collaborate with Product, Security, Compliance, and Infrastructure teams to align data strategy with business objectives* Represent the organization in vendor evaluations, open-source community engagement, and industry forums**REQUIRED QUALIFICATIONS*** **10+ years** of software engineering experience with **7+ years** focused on databases, data engineering, or ML infrastructure* Deep knowledge of relational and NoSQL databases, query optimization, replication, and sharding.* Experience building and operating large-scale data pipelines* Strong SQL and data modeling skills (dimensional, 3NF, Data Vault).* Familiarity with cloud-native data services (AWS, Azure, GCP).* Proven ability to lead cross-functional technical initiatives.**PREFERRED QUALIFICATIONS*** Exposure to vector databases (pgvector, Pinecone, Milvus) and generative AI retrieval patterns.* Knowledge of regulated industry requirements (HIPAA, SOC2, GDPR).* Experience with Kubernetes and containerized data workloads.* Understanding of FinOps and data infrastructure cost optimization.**LINGO CULTURE**
At Lingo, our Culture Compass guides everything:* **Customer First**: Deliver exceptional experiences to transform health.* **Quality**: Uphold the highest standards in everything we ship.* **Growth**: Continuously improve us, our teams, and our processes.* **Unity**: One team, one purpose, shared trust and mutual respect.As a **Principal Engineer - Databases, Data & MLOps**, you’ll live this culture by building strong bridges between application and infrastructure teams, ensuring that we deliver a seamless, secure, and reliable platform experience.**The base pay for this position is**$128,000.00 – $256,000.00In specific locations, the pay range may vary from the range posted.## **JOB FAMILY:**Product Development## **DIVISION:**LNGO Lingo## **LOCATION:**United States > Alameda : 2901 Harbor Bay Parkway## **ADDITIONAL LOCATIONS:**## **WORK SHIFT:**Standard## **TRAVEL:**Yes, 10 % of the Time## **MEDICAL SURVEILLANCE:**No## **SIGNIFICANT WORK ACTIVITIES:**Continuous sitting for prolonged periods (more than 2 consecutive hours in an 8 hour day), Continuous standing for prolonged periods (more than 2 consecutive hours in an 8 hour day)Abbott is an Equal Opportunity Employer of Minorities/Women/Individuals with Disabilities/Protected Veterans.EEO is the Law link - English: http://webstorage.abbott.com/common/External/EEO\_English.pdfEEO is the Law link - Espanol: http://webstorage.abbott.com/common/External/EEO\_Spanish.pdf #J-18808-Ljbffr