Data Engineer: Build AI-Driven Analytics on Snowflake

AgileEngine, LLC.; Rosario; On-site; ARS 139,474,000 - 185,966,000; Full time

Benefits offered by this job

Professional growth

Competitive USD-based pay

Exciting projects

Flextime

Job summary

AgileEngine in Rosario, Argentina 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 solid dbt experience, SQL and Python, dimensional modeling, and proficiency with Snowflake or similar cloud warehouses, plus ingestion and orchestration tools like Airbyte or Prefect and an upper-intermediate English level.

Qualifications

• 3+ years in analytics engineering, data engineering, or a closely related role, with production data 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 a modern cloud warehouse (Snowflake preferred).
• Experience with ingestion tooling and orchestration (Airbyte, Prefect, or equivalents).
• Familiarity with agentic coding tools and guardrails around their output.

Responsibilities

• Build and maintain the dbt pipelines, data marts, and warehouse models that serve in-app reporting, spend analytics, AI features, and internal analytics.
• Translate complex procurement logic into maintainable pipeline code and validate models.
• Develop models within the data mart architecture and propose improvements.
• Contribute to the semantic layer used by MCP servers and AI agents for consistent metrics.
• Maintain the boundary between PII and reporting-safe data.
• Build and maintain FastAPI services exposing reporting marts to customers.
• Create ingestion pipelines (Airbyte, OneSchema, S3) into the warehouse and support data onboarding.
• Implement data quality checks: freshness, schema tests, reconciliation tests, alerts.

Skills

dbt

SQL

Python

Data modeling

Snowflake

Airbyte

Prefect

Analytics engineering

Data pipelines

Git

Tools

FastAPI

S3

OneSchema

Job description

AgileEngine in Rosario, Argentina 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 solid dbt experience, SQL and Python, dimensional modeling, and proficiency with Snowflake or similar cloud warehouses, plus ingestion and orchestration tools like Airbyte or Prefect and an upper-intermediate English level.