6 дней назад
Staff Engineer - Data Engineer (dbt)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Staff Engineer - Data Engineer (dbt/AI): Building and maintaining production data transformations and quality frameworks with an accent on dbt models, incremental processing, documentation, and cloud data platforms. Focus on designing complex SQL transformations, establishing AI-assisted development standards, and integrating LLM tooling into engineering workflows.
Location: Guadalajara, Mexico
Company
is a digital product engineering company delivering products, services, and digital experiences across multiple devices and mediums.
What you will do
- Develop complex data transformations and production-grade analytics engineering workflows.
- Build and maintain dbt models, incremental models, macros, Jinja logic, snapshots, seeds, and sources.
- Implement dbt testing, data quality frameworks, documentation, lineage, and reusable dbt packages.
- Work with cloud data platforms such as Snowflake, Databricks, BigQuery, or Amazon Redshift.
- Establish team standards for AI-assisted implementation, refactoring, testing, code review, and automation.
- Evaluate and integrate AI tooling, including Claude Code, GitHub Copilot, MCP servers, and AI-driven CI or code-generation workflows.
Requirements
- 6+ years of experience in Data Engineering, Analytics Engineering, or a related field.
- 3+ years of hands-on dbt experience in production environments.
- Strong SQL skills and experience developing complex data transformations.
- Strong understanding of dbt Core and/or dbt Cloud.
- Experience with at least one cloud data platform: Snowflake, Databricks, BigQuery, or Amazon Redshift.
- Daily, fluent use of Claude Code and/or GitHub Copilot, plus an understanding of LLM fundamentals, AI-assisted development safeguards, and agentic automation tooling.
Culture & Benefits
- Dynamic, non-hierarchical work culture.
- Work in a global organization with more than 15,000 experts across 26 countries.
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