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Principal Engineer Databases, Data Platform, MLOps
Principal Engineer Databases, Data Platform, MLOpsAbbott • Alameda, California, USA
Principal Engineer Databases, Data Platform, MLOps

Principal Engineer Databases, Data Platform, MLOps

Abbott • Alameda, California, USA
Hace 20 horas
Tipo de contrato
  • A tiempo completo
Descripción del trabajo

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 114000 colleagues serve people in more than 160 countries.

JOB DESCRIPTION : ABOUT LINGO

At Lingo were 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

Were 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 youll 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 YOULL 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 youll 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

    $128000.00 $256000.00

    In 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 :

    EEO is the Law link - Espanol : Experience :

    Staff IC

    Key Skills

    Design,Academics,AutoCAD 3D,Cafe,Fabrication,Java

    Employment Type : Full-Time

    Experience : years

    Vacancy : 1

    Monthly Salary Salary : 128000 - 256000

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    Engineer Data Platform • Alameda, California, USA

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