Senior Data Engineer: dbt, Snowflake & AI-Driven Analytics

Anyone Ai Inc.; Ciudad de Mendoza; Hybrid; ARS 92,875,000 - 147,052,000; Full time

Benefits offered by this job

Professional growth

Competitive USD-based compensation

Exciting projects

Flextime

Job summary

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

The role requires solid dbt experience, ingestion/orchestration tools (Airbyte, Prefect), 3+ years in data/analytics engineering on production pipelines, strong SQL and Python, dimensional modeling, and a modern cloud warehouse (Snowflake). Upper-intermediate English is expected.

Qualifications

• 3+ years in analytics/ data engineering on production pipelines.
• Solid dbt experience: modeling, tests, macros, incremental models.
• Strong SQL and Python skills.
• Dimensional modeling and data marts fundamentals.
• Experience with a modern cloud warehouse (Snowflake).
• Ingestion tooling and orchestration (Airbyte, Prefect).
• Familiarity with agentic coding tools and guardrails.
• Curiosity about business data and customer usage.
• Git, code review, CI/CD discipline.
• Ability to take a multi-sprint piece from spec to production.

Responsibilities

• Build and maintain dbt pipelines, data marts, and warehouse models for reporting and analytics.
• Translate procurement business logic into maintainable pipeline code.
• Develop data models within the data mart architecture and propose improvements.
• Contribute to semantic layer definitions used by MCP servers and AI agents.
• Maintain boundary between PII and reporting-safe data.
• Build FastAPI services exposing reporting marts to customers.
• Ingest data with Airbyte, OneSchema, and S3 into the warehouse.
• Implement data quality checks, freshness, schema tests, and alerts.
• Define metrics faithfully and resolve ambiguities with the team.
• Maintain documentation and data lineage for humans and AI.
• Tune Snowflake performance and cost in models built.
• Use guardrails and share learnings through code reviews and discussions.
• Communicate data meanings clearly to engineering, product, and customers.

Skills

3+ years experience

dbt experience

SQL

Python

dimensional modeling

Snowflake

data pipelines

ingestion/orchestration tools

guardrails for AI tools

business data understanding

Git, CI/CD

Tools

Airbyte

Prefect

Snowflake

OneSchema

S3

FastAPI

Airbyte

Job description

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

The role requires solid dbt experience, ingestion/orchestration tools (Airbyte, Prefect), 3+ years in data/analytics engineering on production pipelines, strong SQL and Python, dimensional modeling, and a modern cloud warehouse (Snowflake). Upper-intermediate English is expected.