Remote AI & BI Data Engineer | dbt/Snowflake Expert

Virtustant; Ciudad de Mendoza; Hybrid; ARS 139,312,000 - 185,750,000; Full time

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 powering customer-facing reporting, spend analytics, and AI features.

Ideal candidates have 3+ years in analytics/data engineering, strong SQL/Python, and hands-on experience with dbt, Airbyte, Prefect, and Snowflake. This role emphasizes production-grade pipelines, data quality, and secure data handling.

Qualifications

• 3+ years in analytics engineering, data engineering, or a closely related role, including hands-on work on production data pipelines that other systems or customers depended on.

Responsibilities

• Build and maintain the dbt pipelines, data marts, and warehouse models that serve in-app reporting, spend analytics, AI features, and internal analytics, treating them as production systems.
• Translate complicated procurement business logic into maintainable, well-tested pipeline code.
• Build models within our data mart architecture, following grain, conformed dimensions, and incremental patterns.
• Contribute to and help build out the semantic layer that our internal MCP servers and AI agents query.
• Maintain the boundary between PII and agent/reporting-safe data.
• Build and maintain the FastAPI services that expose reporting marts to customers.
• Build and maintain ingestion pipelines (Airbyte, OneSchema, S3) into the warehouse, and support our Forward Deployed Engineering function in bringing customer data into our systems.
• Implement data quality checks: freshness, schema and reconciliation tests, and alerting.

Skills

dbt experience

SQL

Python

Airbyte

Prefect

Snowflake

Data modeling

Open data warehouse

English (upper-intermediate)

Tools

Airbyte

Prefect

Snowflake

FastAPI

S3

Job description

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

Ideal candidates have 3+ years in analytics/data engineering, strong SQL/Python, and hands-on experience with dbt, Airbyte, Prefect, and Snowflake. This role emphasizes production-grade pipelines, data quality, and secure data handling.