Senior Staff Engineer - Data Engineer

SmartRecruiters, Inc.; Región Centro; Híbrido; MXN 900.000 - 1.300.000; Jornada completa

Descripción de la vacante

SmartRecruiters, Inc. is seeking an experienced Data Engineer with 8+ years in Data/Analytics Engineering to advance our data platform. Proficiency in dbt in production and SQL is required.

You will work with Snowflake, Databricks, BigQuery, or Redshift, and leverage Claude Code or GitHub Copilot to accelerate development. You will help establish AI-assisted development standards and integrate AI-driven CI steps.

Conocimientos

SQL proficiency

Data transformation

Analytics engineering

Team collaboration

Herramientas

dbt Core/Cloud

Snowflake

Databricks

Google BigQuery

Amazon Redshift

Claude Code

GitHub Copilot

Descripción del empleo

We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale — across all devices and digital mediums, and our people exist everywhere in the world (15000+ experts across 26 countries, to be exact). Our work culture is dynamic and non-hierarchical. We are looking for great new colleagues. That is where you come in!

Job Description

• 8+ years of experience in Data Engineering, Analytics Engineering, or related fields.
• 3+ years of hands-on experience with dbt in production environments.
• Strong expertise in SQL and complex data transformation development.
• Strong understanding of dbt Core and/or dbt Cloud.
• Experience with dbt models and materialization
• Experience with incremental models
• Experience building and maintaining macros using Jinja
• Experience with dbt tests and data quality frameworks
• Experience with snapshots
• Experience with seeds and sources
• Experience with documentation and data lineage
• Experience using dbt packages
• Strong experience with at least one cloud data platform:
  • Snowflake
  • Databricks
  • Google BigQuery
  • Amazon Redshift
• Daily, fluent use ofClaude Codeand/orGitHub Copilotfor implementation, refactoring, test generation, and code review
• Ability to establish team standards for AI-assisted development: effective prompting, trust-vs-verify discipline on generated code, security/IP guardrails, and reviewing AI-authored changes
• Working understanding of LLM fundamentals: context windows, tokens, model selection, and prompt/context engineering
• Experience integrating AI into developer workflows and agentic/automation tooling (MCP servers, AI-driven CI steps, codegen and doc-generation pipelines)
• Able to evaluate AI tooling pragmatically: measuring real productivity and quality impact, not hype

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