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Enroute

Senior Data Engineer

Enroute

Senior Data Engineer designing cloud-native data pipelines using Python and Snowflake at Enroute. Responsible for analytics, reporting, and operational workflows across systems.

Posted 6/18/2026full-timeRemote • 🇲🇽 MexicoSeniorWebsite

Tech Stack

Tools & technologies
AirflowApacheCloudETLPythonSQL

About the role

Key responsibilities & impact
  • - Design, build, and maintain scalable data pipelines that support analytics, reporting, and operational workflows.
  • - Develop production-grade ETL/ELT pipelines using Python.
  • - Orchestrate workflows using Apache Airflow.
  • - Design, develop, and maintain data transformation models using dbt.
  • - Build and maintain API-based integrations with internal and external systems.
  • - Develop and optimize Snowflake data warehouse solutions to support analytical workloads.
  • - Ensure data quality, reliability, monitoring, and observability across all data pipelines.
  • - Optimize existing pipelines, transformations, and data models for performance and scalability.
  • - Collaborate closely with Product, Analytics, and Engineering teams to translate business requirements into production-ready data solutions.
  • - Troubleshoot pipeline failures, API integration issues, and data quality problems.
  • - Document technical solutions, pipeline architecture, and operational best practices.
  • - Support production environments and continuously improve platform reliability.

Requirements

What you’ll need
  • ✅ Must-Have RequirementsData Engineering
  • - 5+ years of professional experience in Data Engineering or related fields
  • - Strong experience designing, building, and maintaining scalable ETL/ELT pipelines
  • - Experience developing production-ready data platforms supporting analytics, reporting, and operational workloads
  • - Strong understanding of modern data engineering best practices
  • - Experience optimizing data pipelines for scalability, reliability, and maintainability
  • Programming & Data Processing
  • - Advanced Python
  • - Advanced SQL (complex queries, optimization, window functions, CTEs)
  • - Strong experience processing structured and semi-structured datasets
  • - Experience building reusable and modular data processing components
  • Workflow Orchestration & Data Transformation
  • - Strong hands-on experience with Apache Airflow
  • - Experience designing workflow orchestration pipelines
  • - Experience scheduling, monitoring, dependency management, and failure recovery
  • - Strong hands-on experience with dbt (Data Build Tool)
  • - Experience designing modular transformation layers and maintaining production dbt projects
  • Cloud Data Platforms
  • - Strong expertise with Snowflake (MUST HAVE)
  • - Experience designing and maintaining Snowflake data warehouse solutions
  • - Experience optimizing Snowflake performance, warehouse sizing, and query execution
  • - Experience working with cloud-based data platforms and modern data architectures
  • API & Data Integration
  • - Strong experience building and maintaining REST API integrations
  • - Experience integrating data from internal and external platforms
  • - Strong understanding of API authentication, pagination, rate limiting, and error handling
  • - Experience developing scalable ingestion pipelines using APIs
  • Collaboration
  • - Experience working in Agile/Scrum environments
  • - Strong communication and documentation skills
  • - Ability to collaborate cross-functionally with Product, Analytics, Engineering, and Business stakeholders
  • 🎯 Responsibilities
  • - Design, build, and maintain scalable data pipelines that support analytics, reporting, and operational workflows.
  • - Develop production-grade ETL/ELT pipelines using Python.
  • - Orchestrate workflows using Apache Airflow.
  • - Design, develop, and maintain data transformation models using dbt.
  • - Build and maintain API-based integrations with internal and external systems.
  • - Develop and optimize Snowflake data warehouse solutions to support analytical workloads.
  • - Ensure data quality, reliability, monitoring, and observability across all data pipelines.
  • - Optimize existing pipelines, transformations, and data models for performance and scalability.
  • - Collaborate closely with Product, Analytics, and Engineering teams to translate business requirements into production-ready data solutions.
  • - Troubleshoot pipeline failures, API integration issues, and data quality problems.
  • - Document technical solutions, pipeline architecture, and operational best practices.
  • - Support production environments and continuously improve platform reliability.

Benefits

Comp & perks
  • - Monetary compensation
  • - Year-end Bonus
  • - IMSS, AFORE, INFONAVIT
  • - Major Medical Expenses Insurance
  • - Life Insurance
  • - Funeral Expenses Coverage
  • - TDU Membership
  • - MediAccess
  • - Health Check-Up Subsidy
  • - Preferential rates for car insurance
  • - Vacations
  • - Official Mexican Holidays
  • - Life Happens Days
  • - Bereavement Leave
  • - Civil Marriage Leave
  • - English Classes
  • - Certifications
  • - Educational Agreements (Talisis, U-ERRE, UNID, TecMilenio, Tec de Monterrey, UDEM, SPIS
  • - Corporate Agreements & Discounts (Sorteos Tec, Envia Flores, TopGolf)
  • - Taquitos Rewards
  • - Birthday Bonus
  • - Work-from-home Bonus
  • - Laptop Policy

ATS Keywords

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Hard Skills & Tools
ETLELTPythonSQLApache AirflowdbtSnowflakeAPI integrationdata transformationdata quality
Soft Skills
communicationcollaborationdocumentationproblem-solvingAgilecross-functional teamworkmonitoringreliabilityobservabilitytroubleshooting