Staff Engineer - Data Analyst

SmartRecruiters, Inc.; Región Centro; Híbrido; MXN 650.000 - 950.000; Jornada completa

Descripción de la vacante

SmartRecruiters, Inc. is a Digital Product Engineering company actively scaling its data capabilities. We seek engineers with 6+ years in Data/Analytics Engineering and 3+ years using dbt in production, plus strong SQL and data transformation skills.

Expertise in cloud data platforms and AI tooling (Claude Code, GitHub Copilot) is required for daily development, testing, and automation. The role emphasizes building robust data pipelines, modeling, and data quality, with a focus on scalable,

Formación

• 6+ 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, incremental models, macros, tests, and documentation.
• Experience with at least one cloud data platform (Snowflake/Databricks/BigQuery/Redshift).
• AI skills required for all roles: Claude Code and/or GitHub Copilot in daily work.

Conocimientos

dbt

SQL

Data transformation

AI tooling

Cloud data platforms

Herramientas

Snowflake

Databricks

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

• 6+ 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, including
  • dbt models and materialization
  • Incremental models
  • Macros and Jinja
  • dbt tests and data quality frameworks
  • Snapshots
  • Seeds and sources
  • Documentation and lineage
  • dbt packages
• Strong experience with at least one cloud data platform, such as:
  • Snowflake
  • Databricks
  • BigQuery
  • Amazon Redshif

AI skills (required for all roles)

• 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