Senior Data & BI Engineer — Remote, Growth & Impact

Werben HR LLC; Ciudad de Mendoza; Hybrid; ARS 154,792,000 - 201,229,000; 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 and analytics. You will translate complex procurement logic into production-grade pipeline code and contribute to the semantic layer used by AI agents.

The role requires 3+ years in analytics/data engineering, solid dbt experience, strong SQL/Python, and experience with Snowflake, Airbyte, and Prefect. English should be upper-intermediate.

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 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 an understanding of guardrails around their output.
• Upper-intermediate English level.

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 and propose improvements.
• Help build the semantic layer for consistent metrics and dimensions.
• Maintain boundary between PII and safe data for reporting.
• Build and maintain FastAPI services exposing reporting marts.
• Create ingestion pipelines (Airbyte, OneSchema, S3) and support customer data onboarding.
• Implement data quality checks and alerting to surface issues early.
• Define metrics clearly and flag ambiguities to the team.
• Keep documentation and lineage current for humans and AI agents.

Skills

3+ years in analytics engineering

Solid dbt experience

Strong SQL

Python

Data modeling fundamentals

Snowflake

Airbyte

Prefect

Upper-intermediate English

Tools

dbt

Airbyte

Prefect

Snowflake

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 and analytics. You will translate complex procurement logic into production-grade pipeline code and contribute to the semantic layer used by AI agents.

The role requires 3+ years in analytics/data engineering, solid dbt experience, strong SQL/Python, and experience with Snowflake, Airbyte, and Prefect. English should be upper-intermediate.