BI Data Engineer: Power BI, dbt & SQL on Snowflake - Remote

Anyone AI Inc.; Ciudad de Mendoza; Remote; ARS 169,994,000 - 231,811,000; 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 build and maintain dbt pipelines and Snowflake data marts behind customer-facing reporting, spend analytics, and AI features. You will implement data quality checks, model within data mart architecture, and contribute to a semantic layer used by MCP servers and AI agents.

The role requires 3+ years in data/analytics engineering, strong SQL and Python, and experience with Snowflake, dbt, and orchestration tools such as Airbyte or Prefect.

Qualifications

• 3+ years in analytics or data engineering on production pipelines.
• Solid dbt experience: modeling, tests, macros, incremental models.
• Strong SQL and Python.
• Data modeling fundamentals: dimensional modeling, data marts, grain, 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 explanation.

Responsibilities

• Build and maintain dbt pipelines, data marts, and warehouse models for in-app reporting and analytics.
• Translate complex procurement logic into maintainable, tested pipeline code.
• Develop models within data mart architecture following grain and conformance conventions.
• Contribute to semantic layer development for consistent metrics across systems.
• 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.

Skills

dbt experience

SQL

Python

Data modeling

Snowflake

Airbyte

Prefect

Kubernetes

Git / CI/CD

Argo Workflows

Tools

Snowflake

Airbyte

Prefect

Fivetran

HVR

Argo Workflows

Kubernetes

S3 (AWS)

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. You will implement data quality checks, model within data mart architecture, and contribute to a semantic layer used by MCP servers and AI agents.

The role requires 3+ years in data/analytics engineering, strong SQL and Python, and experience with Snowflake, dbt, and orchestration tools such as Airbyte or Prefect.