Data Engineer: Marketing Analytics & Data Pipelines

Ryz Labs; Rosario; Remote; ARS 139,086,000 - 200,903,000; Full time

Benefits offered by this job

Professional growth

Competitive USD-based 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. The role requires strong SQL, Python, and dbt, plus experience with Airbyte or Prefect and modern cloud warehouses.

You will own ingestion, modeling, and semantic layer work in a remote setting. You will communicate with engineering, product, and client teams, ensuring data quality, cost control, and performant

Qualifications

• Minimum 3+ years in analytics or data engineering with production pipelines.
• Solid dbt experience: modelling, tests, macros, incremental models.
• Strong SQL and Python skills.
• Fundamentals in dimensional modeling and data marts.
• Experience with a modern cloud warehouse (Snowflake preferred).
• Experience with ingestion tooling and orchestration (Airbyte, Prefect).
• Familiarity with guardrails for data quality and CI/CD practices.

Responsibilities

• Build and maintain dbt pipelines, data marts, and warehouse models for reporting and analytics.
• Translate business logic into maintainable, tested pipeline code.
• Develop models within data mart architecture and propose improvements.
• Contribute to semantic layer and consistent metric definitions.
• Maintain boundary between PII and reporting data.
• Build and maintain FastAPI services exposing reporting marts.
• Ingest data via Airbyte/OneSchema/S3 into the warehouse and support customer data onboarding.
• Implement data quality checks, tests, and alerting.
• Document lineage and ensure reliability for humans and AI agents.

Skills

dbt experience

SQL

Python

dimensional modeling

cloud data warehouse (Snowflake)

Airbyte or Prefect

Git & CI/CD

communication

Tools

dbt

Airbyte

Prefect

FastAPI

GitHub Actions

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 strong SQL, Python, and dbt, plus experience with Airbyte or Prefect and modern cloud warehouses.

You will own ingestion, modeling, and semantic layer work in a remote setting. You will communicate with engineering, product, and client teams, ensuring data quality, cost control, and performant