Mid-Level Data Engineer: Azure ETL, Data Lake & Snowflake

World Business Lenders, Llc; Ciudad de Mendoza; Hybrid; ARS 92,875,000 - 139,312,000; 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 dbt pipelines and Snowflake data marts behind customer-facing reporting, spend analytics, and AI features.

Role requires solid dbt experience, ingestion/orchestration tools like Airbyte or Prefect, 3+ years in production data pipelines, strong SQL and Python, and upper-intermediate English. You will work across reporting, semantic layers, and API services.

Qualifications

• 3+ years in analytics engineering, data engineering, or a closely related role with production 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.
• Deep curiosity about the business: understanding data meaning and customer use.

Responsibilities

• - Build and maintain dbt pipelines, data marts, and warehouse models for in-app reporting and analytics.
• - Translate procurement logic into maintainable, tested pipeline code and validate models.
• - Build models within data mart architecture, conforming to grain and conformance.
• - Contribute to semantic layer for MCP servers and AI agents.
• - Maintain boundary between PII and reporting-safe data.
• - Build FastAPI services exposing reporting marts to customers.
• - Ingest pipelines (Airbyte, OneSchema, S3) and support data onboarding.
• - Implement data quality checks, alerts, and reconciliations.
• - Document lineage and coordinate with teams on data definitions.

Skills

dbt

SQL

Python

Dimensional modeling

Airbyte

Prefect

Snowflake

FastAPI

S3

Tools

dbt

Airbyte

Prefect

Snowflake

FastAPI

S3

OneSchema

PostgreSQL

Databricks

Spark

Job description

AgileEngine is seeking a Mid-level Data Engineer to build dbt pipelines and Snowflake data marts behind customer-facing reporting, spend analytics, and AI features.

Role requires solid dbt experience, ingestion/orchestration tools like Airbyte or Prefect, 3+ years in production data pipelines, strong SQL and Python, and upper-intermediate English. You will work across reporting, semantic layers, and API services.