Senior Data Engineer

Summary

Join Nearsure's LATAM team as a Senior Data Engineer and build and manage efficient data systems and processes. Work remotely, enjoy a strong work-life balance with paid time off, national holidays, sick leave, and a refundable annual credit. Collaborate with analysts and data scientists, ensuring data accessibility, reliability, and security. This role requires a Bachelor's degree, 5+ years of experience with big data technologies, machine learning, and the Google platform, and advanced English proficiency. Enjoy team-building activities and a supportive work environment.

Requirements

• Bachelor's Degree in Computer Science, Engineering, or a related field
• 5+ Years of experience working with big data technologies, infrastructure and related languages
• 5+ Years of experience working with Machine Learning model development and deployment frameworks for deep learning (e.g. PyTorch, Tensorflow, Jax, Ray, etc.)
• 5+ Years of experience working as a Data Engineer on the Google platform (BigQuery spark, PyTorch, Tensorflow)
• 5+ Years of experience working with Python
• 5+ Years of experience in architecting and developing software or infrastructure for scalable, distributed systems
• Advanced English Level

Responsibilities

• Design and maintain scalable data pipelines and ETL processes
• Manage and optimize relational and non-relational databases
• Build and maintain data storage solutions like data warehouses and data lakes
• Ensure data quality, accuracy, and integrity through validation processes
• Collaborate with analysts and data scientists to meet data needs
• Monitor and troubleshoot data workflows for efficiency and reliability
• Implement security measures to protect sensitive data
• Document data processes and architecture for future maintenance

Preferred Qualifications

• Experience with analytics warehousing, data governance, data migrations, data transformation related to Big Data
• Experience in data analytics

Benefits

• USD 💲 Salary compensation
• 100% remote work
• Paid time off according to your country’s law without affecting your monthly salary
• Your country’s national holidays
• Sick or medical leave
• Refundable annual credit
• Teambuilding activities such as coffee breaks, tech talks, and after-work gatherings
• A day off during your birthday week