Job Opportunities API

Caylent is an AI-first cloud services company that helps organizations turn ambitious ideas into meaningful business impact. As an AWS Premier Tier Services Partner and a charter member of Anthropic’s Claude Partner Network, we combine deep expertise in AWS, artificial intelligence, and Anthropic’s Claude platform to help customers modernize their technology, build intelligent products, and move AI from experimentation into production. Our capabilities span generative and agentic AI, cloud migration and modernization, cloud-native application development, data and analytics, DevOps, managed services, security and compliance, and customer experience transformation. At Caylent, our people always come first. We are a fully remote global company with employees in Canada, the United States and Latin America. We celebrate the culture of each of our team members and foster a community of technological curiosity. Come talk to us to learn more about what it means to be a Caylien! The Mission At Caylent, a Senior Data Engineer is an integral part of a cross-functional delivery team implementing data management solutions on AWS for our customers. You will work in a hands-on capacity to define RDS data sources, develop ETL jobs, and manage data warehouses. You will participate in daily standups with your team and in biweekly agile ceremonies with the customer. Your manager will have a weekly 1:1 with you to help guide you in your career and make the most of your time at Caylent. Your Assignment ● Deliver complex data platform components or migration solutions independently ● Troubleshoot performance, scalability, and reliability issues ● Contribute to solution design and engineering standards ● Communicate technical topics clearly to peers and stakeholders ● Produce high-quality documentation and implementation reviews Required Technical Competencies: Platform Development Focus: Strong experience building scalable cloud-native data platforms and pipelines Advanced knowledge of modern data lake/lakehouse practices Hands-on experience with distributed processing (Spark/PySpark or equivalent) Experience with streaming or event-driven ingestion patterns Python with solid engineering principles (OOP, testing) Migration & Modernization Focus: Strong expertise in relational databases and schema design Advanced query optimization and performance troubleshooting Experience executing large-scale migrations and modernization efforts Knowledge of HA/DR patterns, security, and cost optimization Automation and scripting for migration workflows Across Both: Infrastructure-as-code and CI/CD integration Cloud security fundamentals Cost-aware design Experience Requirements: 4+ years RDBMS or data engineering experience. 2+ years of AWS-based implementations. Language:  Upper-Intermediate English (minimum B2).   Benefits 100% remote work Generous holidays and flexible PTO Competitive phantom equity Paid for exams and certifications Peer bonus awards State of the art laptop and tools Equipment & Office Stipend Individual professional development plan Annual stipend for Learning and Development Work with an amazing worldwide team and in an incredible corporate culture NOTE: We’re unable to provide visa sponsorship now or at any time in the future. At Caylent, we are committed to fair, transparent, and inclusive hiring practices. As part of our recruitment process, we may use artificial intelligence (AI) tools or automated systems to assist with the screening and evaluation of applications to help match candidate qualifications with job requirements. These tools are designed to support — not replace — human decision-making. Final hiring decisions are always made by our trained recruitment professionals. If an AI or automated tool is used during your application process, it will only be in ac