Principal Data Engineer

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

📋 Description

• Oversee the design, development, and enhancement of contemporary data platforms that facilitate advanced analytics, machine learning projects, and data-driven strategic decisions.

• Collaborate closely with Data Scientists, Analysts, Product teams, and business stakeholders to convert intricate data ecosystems into dependable, scalable, and secure platforms that provide valuable business insights.

• Create, develop, and sustain large-scale data platforms and architectures.

• Spearhead the creation of scalable and dependable ETL/ELT pipelines for both batch and near real-time data processing.

• Design cloud-native data solutions utilizing services from AWS, Azure, or GCP.

• Propel data modeling strategies employing methodologies such as Star Schema, Snowflake Schema, and Data Vault.

• Establish and uphold data engineering best practices, coding standards, governance policies, and architectural guidelines.

• Execute orchestration frameworks using tools like Airflow, dbt, or similar technologies.

• Enhance data pipelines for performance, scalability, reliability, and cost-effectiveness.

• Partner with Data Scientists and Analytics teams to guarantee high-quality, production-ready datasets.

• Set up monitoring, observability, testing, and data quality frameworks.

• Lead technical discussions and architectural decisions across various teams.

• Conduct code reviews and mentor Data Engineers across different levels of seniority.

• Enforce data security, privacy, and compliance standards that align with industry best practices.

• Support strategic initiatives related to analytics, machine learning, and marketing intelligence platforms.

⛳️ Requirements

• Over 8 years of experience in Data Engineering, Data Platforms, or Data Architecture roles.

• Experience in Senior, Lead, Staff, or Principal Data Engineering positions.

• Demonstrated success in designing and implementing enterprise-scale data solutions.

• Experience working in distributed and cloud-native environments.

• Proficient in SQL at an expert level.

• Strong background in Python development for data engineering and processing tasks.

• Significant experience in building ETL/ELT pipelines.

• Practical experience with Airflow, dbt, or similar orchestration tools.

• In-depth expertise in data modeling and warehouse design.

• Familiarity with modern cloud platforms such as:

• - AWS

• - Azure

• - GCP

• Experience with data lakes and data warehouses.

• Knowledge of CI/CD practices for data platforms.

• Understanding of data governance, security, lineage, and privacy controls.

• Familiarity with analytics and machine learning data preparation workflows.

• Strong sense of ownership.

• Excellent communication and stakeholder management abilities.

• Capability to lead technical initiatives and influence engineering decisions.

• Mentoring and coaching skills.

• Strategic problem-solving approach.

• Ability to adapt in fast-paced environments.

• Strong collaboration skills across technical and business teams.

• Bachelor's degree in Computer Science, Software Engineering, Information Systems, Data Science, or a related field.

• Advanced English proficiency (required).

🏝️ Benefits

• 🌎 Integration with global brands and innovative startups.

• 🏠 Remote work/Home office options.

• 📍 If a hybrid or on-site modality is required, you will be informed from the first interview session.

• ⏰ Schedule aligned with the assigned project/work cell.

• 📅 Work schedule from Monday to Friday.

• 🎂 Birthday day off.

• 🏥 Major medical insurance (applicable in Mexico).

• 🛡️ Life insurance (applicable in Mexico).

• 🌍 Multicultural work environments.

• 📚 Access to courses and certifications.

• 🎤 IT meetups featuring special guests.

• 🎉 Virtual integration events and interest groups.

• 🇺🇸 English language classes.

• 🚀 Opportunities across various business lines.

• 🏆 Proudly recognized as a Great Place to Work.