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Senior Data Engineer (AI)

Формат работы
remote (только Colombia)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Colombia
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Senior Data Engineer (AI/GCP): Building data pipelines, machine learning solutions, and analytical products for enterprise clients with an accent on Google Cloud, Vertex AI, Gemini, and large language model integrations. Focus on engineering scalable data infrastructure, turning raw data into actionable insights, and developing dashboards, APIs, and cloud platform components.

Location: Remote in Colombia

Company

hirify.global is an experience innovation company that combines data, AI, creativity, and technology to deliver digital solutions for enterprise clients.

What you will do

  • Analyze raw datasets and produce rigorous, actionable insights for large enterprise clients.
  • Design, build, and maintain data pipelines and products supporting data-driven decisions.
  • Develop AI and machine learning solutions using Vertex AI, AutoML, Gemini APIs, and LLM integrations.
  • Build data pipelines and training workflows with BigQuery, Dataflow, Cloud Storage, and Cloud Functions.
  • Create interactive dashboards and visualizations using Power BI, Looker, or custom web applications.
  • Engineer data infrastructure, APIs, software libraries, and cloud platform components while managing requirements, timelines, dependencies, and risks.

Requirements

  • Professional experience with Google Cloud Platform, including BigQuery, Dataflow, and Cloud Storage.
  • Experience developing, customizing, and applying large language models to real-world use cases.
  • Industry experience in data engineering, analytics, or data science, or a bachelor's or master's degree in a quantitative discipline.
  • Ability to work from data ingestion through insight using SQL, Python, or R.
  • Strong quantitative, analytical, and scientific reasoning skills.

Nice to have

  • Experience with BigQuery Data Transfer Service, Transfer APIs, Airflow, Luigi, or Prefect.
  • Experience with Power BI, Looker, ggplot2, matplotlib, seaborn, bokeh, or D3.
  • Knowledge of AWS, Azure, cloud architecture, statistical and machine learning libraries.
  • Experience with web development, React, Vue, AngularJS, REST, GraphQL, and API design.
  • Experience leading technical data, analytics, or machine learning projects.

Culture & Benefits

  • Work within a global organization focused on experience innovation and digital transformation.
  • Access training and a development platform to expand technical and analytical capabilities.
  • Inclusive and equitable workplace with support for candidate accessibility needs.
  • Collaboration with professionals across more than 60 offices and enterprise client engagements.

Hiring process

  • Submit an application for review by the Talent Acquisition team.
  • Qualified candidates are contacted to continue the recruitment process.

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