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 build and manage efficient data systems and processes, ensuring data accessibility, reliability, and support for business needs. Nearsure is actively seeking passionate professionals for future opportunities, offering a transparent and direct talent connection process. We are constantly expanding our team and invite you to join our dynamic team to shape the future of technology.

Requirements

• Bachelor's Degree in Computer Science, Engineering, or a related field
• 5+ Years of experience working with cloud native architecture in a customer-facing or support role
• Experience with "Big Data" technologies or concepts, especially BigQuery, such as analytics warehousing, data processing, data transformation, data governance, data migrations, ETL, ELT, SQL, NoSQL, and other data concepts
• Experience with Machine Learning model development and deployment frameworks for deep learning (e.g., PyTorch, Tensorflow, Jax, Ray, etc.), AI accelerators (e.g., TPUs, GPUs), model architectures (e.g., encoders, decoders, transformers), and using machine learning APIs
• Experience working with and presenting to technical stakeholders and executive leaders
• 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