Senior Data Engineer

Summary

Join Nearsure's close-knit LATAM remote team and enjoy a supportive work environment with autonomy, open communication, and respect for diversity. We offer a competitive USD salary, 100% remote work, paid time off, national holidays, sick leave, a refundable annual credit, team-building activities, and a birthday day off. As a Senior Data Engineer, you will design and maintain scalable data pipelines, manage databases, build data storage solutions, ensure data quality, collaborate with analysts and data scientists, monitor data workflows, implement security measures, and document data processes. This role requires a Bachelor's Degree in a related field and 5+ years of experience in big data technologies, machine learning, and the Google platform. Advanced English is required.

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 working in architecting and developing software or infrastructure for scalable, distributed systems
• Experience with analytics warehousing, data governance, data migrations, and data transformation related to Big Data
• Experience in data analytics
• Willing to work at EST
• Advanced English Level is required for this role as you will work with US clients. Effective communication in English is essential to deliver the best solutions to our clients and expand your horizons

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

Benefits

• Competitive USD salary
• 100% remote work
• Paid time off
• National Holidays celebrated
• Sick leave
• Refundable Annual Credit
• Team-building activities
• Birthday day off