Data engineer, GCP and LLM prototyping (Python, SQL, Go)

Job Type: Remote

A leading organization is hiring a data engineer to build and support cloud-based data capabilities while also creating proof-of-concept prototypes that apply large language models and agent-style workflows to real business problems. This position blends strong data engineering fundamentals with practical experience prototyping AI solutions. The ideal candidate has hands-on experience building prototypes, not just studying AI concepts, and is comfortable working across Python, SQL, Google Cloud Platform, and Go.

Responsibilities

  • Design, build, and maintain data pipelines and data workflows in a Google Cloud Platform environment
  • Develop reliable data transformations and data validation routines using Python and SQL
  • Create and iterate on proof-of-concept implementations that apply large language models to data and operational use cases
  • Prototype agent-style workflows, including multi-step task execution patterns and tool-based interactions that connect AI outputs to data systems
  • Implement backend components and services that support AI-enabled prototypes, including integrations with data stores and APIs
  • Produce clear, maintainable deliverables suitable for handoff, reuse, and extension beyond prototype stages
  • Collaborate with cross-functional partners to understand the problem context and translate it into practical technical experiments and deliverables
  • Document approaches, assumptions, and outcomes so prototypes can be evaluated and compared consistently

Required experience and skills

  • Strong Python skills for data engineering, automation, and building prototype workflows
  • Advanced SQL skills for complex querying, joining datasets, and building repeatable transformations
  • Experience working on Google Cloud Platform for data workloads
  • Demonstrated experience building LLM proof-of-concepts or prototypes that move beyond experimentation into working demos or pilot-ready workflows
  • Familiarity with building agent-style prototypes and orchestration patterns
  • Working knowledge of Go (Golang) for building services, utilities, or performance-oriented components
  • Ability to work independently, execute quickly, and communicate progress and outcomes clearly

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