Remote Data Engineer: AI & Analytics Pipelines

Encora10; Ciudad de Mendoza; Hybrid; ARS 139,312,000 - 201,229,000; 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 behind customer-facing reporting, spend analytics, and AI features.

The role requires solid dbt experience, ingestion/orchestration tools like Airbyte or Prefect, 3+ years in data/analytics engineering on production pipelines, strong SQL and Python, dimensional modeling, and upper-intermediate English.

Qualifications

• 3+ years in analytics engineering or data engineering on production pipelines.
• Solid dbt experience: modeling, tests, macros, incremental models.
• Strong SQL and Python skills.
• Data modeling fundamentals: dimensional modeling and data marts.
• Experience with a modern cloud warehouse (Snowflake preferred).
• Experience with ingestion/orchestration tools (Airbyte, Prefect).
• Familiarity with guardrails for AI/agentic tooling and data governance.
• Curiosity about business data and customer use cases.
• Software engineering discipline: Git, code review, CI/CD.

Responsibilities

• Build and maintain dbt pipelines, data marts, and warehouse models.
• Translate procurement logic into robust, tested pipelines.
• Develop models within data mart architecture with conformed dimensions.
• Contribute to semantic layer and ensure consistent metrics.
• Maintain boundary between PII and reporting-safe data.
• Build and maintain FastAPI services exposing reporting marts.
• Ingest data using Airbyte, OneSchema, and S3 into the warehouse.
• Implement data quality checks and alerting for data freshness and schema.
• Document lineage and ensure discoverability for humans and AI.
• Tune Snowflake performance and cost in models.

Skills

3+ years in analytics/data engineering

dbt experience

SQL

Python

data modeling

Snowflake

Airbyte

Prefect

dimensional modeling

CI/CD

Git

English (upper-intermediate)

Tools

Snowflake

Airbyte

Prefect

OneSchema

S3

FastAPI

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 solid dbt experience, ingestion/orchestration tools like Airbyte or Prefect, 3+ years in data/analytics engineering on production pipelines, strong SQL and Python, dimensional modeling, and upper-intermediate English.