Senior Data Engineer

🔥 12 hours ago

Apply Now

Find Similar Remote Jobs

Receive Emails For Remote Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Enroute

WebsiteLinkedInAll Job Openings

51 - 200 employees

☁️ SaaS

🏢 Enterprise

📡 Telecommunications

SaaS • Enterprise • Telecommunications

Enroute is a company that delivers exceptional IT services and solutions, staffed by a team of passionate, problem-solving individuals skilled in various IT and business practices. They specialize in data engineering, moving and utilizing data effectively to increase business value, regardless of data sources or types. Enroute also offers software development services, providing analysis and implementing software strategies tailored to long-term organizational needs. Quality engineering is another key offering, with a focus on building quality into processes and software testing from the early stages of development. With a strong emphasis on IT strategy, software and data solutions, Enroute aims to impact organizations and improve user experiences through their tailored services and expert solutions.

📋 Description

• - 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

• ✅ 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

• - 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