Senior Data Engineer

We love technology, and we enjoy what we do. We are always looking for innovation and continuous improvement. At Enroute, we are looking for a Senior Data Engineer to design, build, and maintain scalable data pipelines and APIs that support analytics, reporting, and operational workflows across multiple systems.

This role focuses on developing modern cloud-native data solutions using Python, Airflow, dbt, and Snowflake, integrating data from multiple internal and external systems through REST APIs, and delivering reliable, production-ready data platforms.

The ideal candidate has strong hands-on experience with Python, Apache Airflow, dbt, Snowflake, advanced SQL, API-based integrations, and modern ETL/ELT architectures. Experience working within AdTech or digital media environments is highly preferred.

Requirements

✅ Must-Have Requirements

Data 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.

✨ Nice-to-Have Requirements (Extras)

• Experience working within AdTech or Digital Media environments

• Experience integrating advertising or marketing platform APIs

• Familiarity with event-driven or streaming architectures

• Experience with CI/CD workflows for data engineering deployments

• Experience with Docker and containerized workloads

• Experience with cloud platforms such as AWS, Azure, or GCP

• Experience with Git-based development workflows

• Familiarity with data observability tools (Great Expectations, Monte Carlo, Datadog, or similar)

• Experience optimizing large-scale analytical workloads

• Exposure to Infrastructure as Code (Terraform or similar)

Benefits

• 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

Equal employment

Enroute is committed to providing equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.