Remote Data Engineer: Power BI, SQL, dbt

World Business Lenders, Llc

Ciudad de Mendoza

Hybrid

ARS 139,086,000 - 200,903,000

Full time

42 hours ago
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Benefits offered by this job

Professional growth
Competitive compensation
Exciting projects
Flextime

Job summary

AgileEngine is seeking a Mid-level Data Engineer to build and maintain dbt pipelines and Snowflake data marts behind customer-facing reporting, spend analytics, and AI features.

The role requires 3+ years in analytics/data engineering, solid dbt experience, strong SQL and Python, and upper-intermediate English. Hybrid work with remote options, and experience with Airbyte/Prefect are valued.

Qualifications

  • 3+ years in analytics engineering, data engineering, or a closely related role on production pipelines.
  • Solid dbt experience: modeling, tests, macros, and incremental models.
  • Strong SQL and working Python.
  • Data modeling fundamentals: dimensional modeling, data marts, grain and conformance.
  • Experience with modern cloud warehouse (Snowflake preferred).
  • Experience with ingestion tooling and orchestration (Airbyte, Prefect, or equivalents).
  • Familiarity with agentic coding tools and understanding guardrails.

Responsibilities

  • Build and maintain the dbt pipelines, data marts, and warehouse models that serve in-app reporting and analytics.
  • Translate complex procurement logic into maintainable, tested pipeline code.
  • Build models within the data mart architecture following grain and conformance patterns.
  • Contribute to semantic layer definitions for consistent metrics and dimensions.
  • Maintain boundary between PII and safe data for reporting.

Skills

dbt experience
SQL
Python
data modeling
Airbyte/Prefect
Snowflake

Tools

Airbyte
Prefect
Snowflake

Job description

AgileEngine is seeking a Mid-level Data Engineer to build and maintain dbt pipelines and Snowflake data marts behind customer-facing reporting, spend analytics, and AI features.

The role requires 3+ years in analytics/data engineering, solid dbt experience, strong SQL and Python, and upper-intermediate English. Hybrid work with remote options, and experience with Airbyte/Prefect are valued.

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