Senior Data Engineer

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

📋 Description

• Design, develop, and sustain scalable data pipelines along with ETL/ELT processes.

• Play a key role in advancing data engineering frameworks and infrastructure.

• Construct and uphold dependable data models and metric definitions that support analytics, data science, and strategic decision-making.

• Create production-quality solutions utilizing Python and SQL.

• Engage with Spark, dbt, Fivetran, Airflow, and cloud-based data storage.

• Collaborate with data scientists, engineers, analysts, and business stakeholders to identify data requirements and deliver impactful solutions.

• Enhance data quality, reliability, scalability, and accessibility.

• Offer technical recommendations to shape the data platform and engineering ecosystem.

• Leverage AI-assisted development tools to boost productivity, comprehend existing systems, and expedite software development.

• Develop self-service data tools and solutions to facilitate easier data access.

• Diagnose data pipeline and infrastructure challenges and implement enhancements for reliable data delivery.

• Engage in continuous learning and embrace modern practices in data engineering, cloud technologies, automation, and AI-assisted development.

⛳️ Requirements

• Over 7 years of professional experience in Data Engineering or a related domain.

• Extensive experience in data modeling and the development of data pipelines/jobs.

• Proven programming experience at a production level with Python and SQL.

• Practical experience with Apache Spark, dbt, Fivetran, and Airflow.

• Familiarity with cloud-based data platforms and S3-based data warehouses or data lakes.

• Knowledge of ETL/ELT processes and the construction of scalable data solutions.

• Experience utilizing AI-assisted coding tools such as Claude Code, Codex, or equivalent technologies.

• Strong analytical and problem-solving abilities.

• Experience working collaboratively with cross-functional teams and business stakeholders to gather requirements and translate them into technical solutions.

• Excellent communication skills and a proactive approach to teamwork.

• Bachelor’s degree in Computer Science, Engineering, or a related field.

• Capacity to work independently, take initiative, and contribute ideas to enhance data infrastructure and engineering practices.

🏝️ Benefits

• Stock options.

• Options for remote work.

• Flexible working hours.

• Benefits that exceed legal requirements.

• Mentorship and opportunities for learning and professional growth.

• Collaboration with seasoned IT professionals.