Remote Data Engineer - Snowflake, dbt & Pipelines

Virtustant; Ciudad de Mendoza; Remote; ARS 185,448,000 - 278,173,000; Full time

Benefits offered by this job

Professional growth

Competitive USD pay

Exciting projects

Flextime

Job summary

AgileEngine is seeking a mid-level Data Engineer to design and maintain dbt pipelines and Snowflake data marts that power customer-facing reporting, spend analytics, and AI features. You will handle production data pipelines, ensure data quality, and collaborate with engineering and product teams in a remote USA setting.

You should have strong dbt experience, SQL and Python skills, and familiarity with Airbyte/Prefect for ingestion and orchestration.

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 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.
• Excellent English communication and ability to explain data concepts to stakeholders.
• Availability to work from 9:00 AM to 6:00 PM Pacific Time and participate in on-call rotation.

Responsibilities

• Build and maintain dbt pipelines, data marts, and warehouse models for in-app reporting, spend analytics, AI features, and internal analytics.
• Translate procurement logic into reliable, tested pipeline code and validate models.
• Develop models within the data mart architecture with proper grain and conformed dimensions; propose improvements.
• Contribute to and build the semantic layer queried by MCP servers and AI agents for consistent metrics.
• Maintain the boundary between PII and safe data for reporting and AI features.
• Build and maintain FastAPI services exposing reporting marts to customers.
• Develop ingestion pipelines (Airbyte, OneSchema, S3) into the warehouse and support customer data onboarding.
• Implement data quality checks for freshness, schema tests, and alerting.

Skills

dbt

SQL

Python

Snowflake

Airbyte

Prefect

Fivetran

HVR

Argo Workflows

AWS S3

Data Modeling

Data Pipelines

Git

CI/CD

FastAPI

Tools

FastAPI

Snowflake

Job description

AgileEngine is seeking a mid-level Data Engineer to design and maintain dbt pipelines and Snowflake data marts that power customer-facing reporting, spend analytics, and AI features. You will handle production data pipelines, ensure data quality, and collaborate with engineering and product teams in a remote USA setting.

You should have strong dbt experience, SQL and Python skills, and familiarity with Airbyte/Prefect for ingestion and orchestration.