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Remote Senior AI/ML Data Engineer

at Public Storage

Posted 5 hours ago

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Description:

  • Architect, build, and maintain batch and streaming data pipelines using BigQuery, dbt, Airflow/Cloud Composer, and Pub/Sub.
  • Design and implement layered data models and modular pipelines that scale with business needs.
  • Optimize BigQuery for performance and cost efficiency.
  • Convert prototype notebooks and models into production-grade Python packages.
  • Support real-time inference and streaming feature delivery for critical decisions.

Requirements:

  • MS in Computer Science with 4+ years of experience, or BS in Computer Science with 6+ years of experience.
  • 3+ years of experience building data pipelines using Python, SQL, and dbt.
  • 1+ year of experience with real-time systems like Pub/Sub or Dataflow.
  • 2+ years of experience owning technical decisions or leading engineering direction.

Benefits:

  • Work in a fast-moving environment with quick decision-making impacting real business outcomes.
  • Opportunity to own meaningful parts of the platform and build end-to-end solutions.
  • Join a team that values curiosity, execution, and continuous improvement.

Job title

Data Engineer

Job type

Full-time

Experience level

Senior

Required experience

4 years

Salary

-

Degree requirement

Degree required

Skills

JavaScript SQL AWS Composer GCP CI/CD Machine Learning Large Language Models Python BigQuery Neo4J Airflow

Location requirements

United States

Benefits

-

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