Data Engineer – Analytics, Modeling

This is a fully remote position, open to applicants in Mexico.

📋 Description

• Deliver essential technical execution and analytical guidance, serving as a catalyst in converting raw data into well-structured, production-ready data models.

• Ensure that cross-functional teams have uninterrupted access to uncompromised, high-performance, and real-time datasets.

• Tasked with deconstructing outdated data workflows, engineering scalable data pipelines, and implementing strict validation standards to ensure data reliability and the health of the pipeline.

⛳️ Requirements

• 3 to 5+ years of professional experience in dedicated data-centric engineering or advanced analytics positions.

• Outstanding capability to write, debug, and optimize complex SQL queries for extensive data transformations, validation, and analytics reporting.

• Significant hands-on experience utilizing Python to create custom data processing workflows, automation scripts, and pipeline connectors.

• Direct experience in designing, managing, and indexing high-performance data models directly within Snowflake.

• Production experience in developing modular, tested, and well-documented data transformation code using dbt.

• Practical knowledge of AWS cloud environments (e.g., S3, EC2, or associated data orchestration services) that support scalable storage and execution.

• Strong understanding of data validation, data quality frameworks, and troubleshooting for pipeline health.

• Familiarity with next-generation data orchestrators such as Dagster or Apache Airflow (Nice to have).

• Previous experience dealing with marketplace dynamics, transactional data, matching algorithms, or user-behavior metrics (Nice to have).

🏝️ Benefits

• Health insurance

• 401(k) matching

• Flexible work hours

• Paid time off

• Professional development opportunities