AI Data Engineer: SQL, Snowflake & Data Pipelines (Remote)

Bairesdev; Ciudad de Mendoza; Hybrid; ARS 139,312,000 - 201,229,000; Full time

Benefits offered by this job

Professional growth

Competitive compensation: USD-based

Exciting projects

Flextime: remote and office options

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. Must have solid dbt experience, ingestion/orchestration tools like Airbyte or Prefect, and 3+ years in data engineering with strong SQL and Python.

The role involves producing production-grade pipelines, contributing to semantic models, and ensuring data quality and governance, with a flexible remote/office work setup.

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 dbt pipelines, data marts, and warehouse models for in-app reporting, spend analytics, and AI features.
• Translate procurement business logic into maintainable, tested pipeline code.
• Build models within the data mart architecture with grain and conformed dimensions.
• Contribute to the semantic layer used by MCP servers and AI agents.
• Maintain boundary between PII and reporting-safe data.
• Build and maintain FastAPI services exposing reporting marts to customers.
• Ingest data via Airbyte, OneSchema, and S3 into the warehouse.
• Implement data quality checks: freshness, schema tests, reconciliation, and alerting.
• Keep documentation and lineage current for humans and AI agents.
• Tune Snowflake performance and cost within built models.

Skills

dbt experience

SQL

Python

Airbyte

Prefect

Snowflake

Data modeling

Git / CI/CD

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. Must have solid dbt experience, ingestion/orchestration tools like Airbyte or Prefect, and 3+ years in data engineering with strong SQL and Python.

The role involves producing production-grade pipelines, contributing to semantic models, and ensuring data quality and governance, with a flexible remote/office work setup.