About the role

  • Data Engineer contributing to data pipeline development and GenAI experiments at a technology consulting firm. Collaborating on data visualization, automation, and documentation efforts for data projects.

Responsibilities

  • Support the construction, maintenance, and evolution of data pipelines and data flows.
  • Prepare datasets and inputs for model testing and GenAI experiments.
  • Execute prompt tests, interaction flows, and technical evaluations in PoCs.
  • Create reports to monitor performance and track deliveries.
  • Contribute to technical documentation, version control, and organization of deliverables.

Requirements

  • Advanced English – required.
  • Prior experience (even introductory) with LangChain, LlamaIndex, or similar frameworks.
  • Experience in academic, personal, or professional projects related to GenAI.
  • Basic knowledge of data visualization (Power BI, Tableau, Looker, etc.).
  • Interest in automation, MLOps, and data engineering best practices.
  • Degree in progress or completed in Computer Science, Engineering, Information Systems, Systems Analysis and Development, or related fields.

Benefits

  • 30 days of paid annual vacation
  • Access to the WellHub platform (Gympass)
  • Service awards for length of tenure
  • Day off on your birthday
  • Support/incentives for AWS certifications

Job title

Data Engineer – Mid-level

Job type

Experience level

Mid levelSenior

Salary

Not specified

Degree requirement

Bachelor's Degree

Tech skills

Location requirements

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