Principal Data Engineer

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DaCodes.

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2014

🤖 Artificial Intelligence

Artificial Intelligence • Software

DaCodes is a technology company specializing in delivering custom software solutions and digital transformation services across various industries. The company offers a range of services including AI-powered products, quality engineering, UX/UI design, and full-stack development. DaCodes is dedicated to helping businesses innovate and transform through cutting-edge technology solutions and expert talent augmentation. With over 900 projects completed and a global team of over 220 experts, DaCodes serves industries such as automotive, e-commerce, healthcare, and more, adapting to the unique challenges each sector presents.

📋 Description

• 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

• 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

• 🌎 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.