Principal Data Engineer

DaCodes.

Principal Data Engineer at DaCodes designing and optimizing data platforms. Collaborate with Data Scientists and Analysts for effective data-driven decision-making.

Posted 6/17/2026full-timeRemote • 🇲🇽 MexicoLeadWebsite

Tech Stack

Tools & technologies

AirflowAWSAzureCloudETLGoogle Cloud PlatformPythonSQLVault

About the role

Key responsibilities & impact

Lead the design, development, and optimization of modern data platforms that enable advanced analytics, machine learning initiatives, and data-driven decision-making.
Work closely with Data Scientists, Analysts, Product teams, and business stakeholders to transform complex data ecosystems into reliable, scalable, and secure platforms that generate meaningful business insights.
Design, build, and maintain large-scale data platforms and data architectures.
Lead the development of scalable and reliable ETL/ELT pipelines for batch and near real-time processing.
Architect cloud-native data solutions leveraging AWS, Azure, or GCP services.
Drive data modeling strategies using methodologies such as Star Schema, Snowflake Schema, and Data Vault.
Define and enforce data engineering best practices, coding standards, governance policies, and architectural guidelines.
Implement orchestration frameworks using tools such as Airflow, dbt, or similar technologies.
Optimize data pipelines for performance, scalability, reliability, and cost efficiency.
Collaborate with Data Scientists and Analytics teams to ensure high-quality, production-ready datasets.
Establish monitoring, observability, testing, and data quality frameworks.
Lead technical discussions and architectural decisions across multiple teams.
Conduct code reviews and mentor Data Engineers across different seniority levels.
Implement data security, privacy, and compliance standards aligned with industry best practices.
Support strategic initiatives involving analytics, machine learning, and marketing intelligence platforms.

Requirements

What you’ll need

8+ years of experience in Data Engineering, Data Platforms, or Data Architecture roles.
Experience operating in Senior, Lead, Staff, or Principal Data Engineering positions.
Proven track record designing and implementing enterprise-scale data solutions.
Experience working in distributed and cloud-native environments.
Expert-level SQL skills.
Strong Python development experience for data engineering and processing.
Extensive experience building ETL/ELT pipelines.
Hands-on experience with Airflow, dbt, or equivalent orchestration tools.
Strong expertise in data modeling and warehouse design.
Experience with modern cloud platforms:
- 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 ownership mentality.
Excellent communication and stakeholder management skills.
Ability to lead technical initiatives and influence engineering decisions.
Mentoring and coaching capabilities.
Strategic problem-solving mindset.
Adaptability 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 related field.
Advanced English (required).

Benefits

Comp & perks

🌎 Integration with global brands and disruptive startups.
🏠 Remote work/Home office.
📍 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.
📅 Monday to Friday work schedule.
🎂 Birthday day off.
🏥 Major medical insurance (applies to Mexico).
🛡️ Life insurance (applies to Mexico).
🌍 Multicultural work environments.
📚 Access to courses and certifications.
🎤 IT meetups with special guests.
🎉 Virtual integration events and interest groups.
🇺🇸 English classes.
🚀 Opportunities across our different business lines.
🏆 Proudly certified as a Great Place to Work.

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

data engineeringdata platformsdata architectureETLELTSQLPythondata modelingdata warehousingcloud-native environments

Soft Skills

communicationstakeholder managementleadershipmentoringcoachingproblem-solvingadaptabilitycollaborationownership mentalityinfluence

Certifications

Bachelor's degree in Computer ScienceBachelor's degree in Software EngineeringBachelor's degree in Information SystemsBachelor's degree in Data Science