DaCodes
Principal Data Engineer- LATAM- English Required
Vaga remota de Data Engineering com fit claro de localização do candidato.
Publicada18 de jun. de 2026
Países elegíveis24 países aceitos
Sinal de senioridadeLead
Modelo de trabalhoRemoto
Locais aceitos para candidatos
Resumo da vaga
Principal Data Engineer- LATAM- English Required
Requisitos e responsabilidades
Conteúdo da vaga extraído em seções para revisão mais rápida.
Key Responsibilities
- 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.
Experience
- 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.
Technical Skills
- 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.
Details
- AWS
- Azure
- GCP
Soft Skills
- 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.
Education
- Bachelor's degree in Computer Science, Software Engineering, Information Systems, Data Science, or related field.
- Master's degree is a plus.
Language
- Advanced English (required).
- Ability to participate in technical discussions and stakeholder meetings with international teams.
Location
- LATAM.
- Mexico
- Remote position.
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