
Lead Data Engineer – Backend, Python, Typescript, Big Data, AWS, Kubernetes
Posted May 25

Posted May 25
This is a fully remote position, open to applicants in Mexico.
• Design, develop, and enhance new features for REST APIs and large-scale data processing pipelines that manage high-volume datasets across distributed systems.
• Architect and fine-tune backend services to ensure high throughput and low-latency performance.
• Create data-intensive and event-driven applications utilizing Python, Typescript, Spark, and AWS-native services.
• Collaborate with Spark, EMR, Glue, Kafka, or similar frameworks to process and transform extensive datasets.
• Enhance system performance, reliability, and scalability across microservices and cloud infrastructure.
• Collaborate with senior engineers, architects, DevOps, and QA throughout the entire development lifecycle.
• Mentor developers, oversee code reviews, and elevate engineering quality standards.
• Automate deployments and CI/CD processes using Terraform, Serverless Framework, and Kubernetes-based workflows.
• Over 7 years of backend or full-stack engineering experience, with a substantial focus on backend development.
• More than 7 years of practical experience with Python (in APIs, automation, and large-scale data pipelines).
• At least 3 years of experience working with Typescript / Node.js.
• Advanced knowledge of AWS (including EC2, EKS, Lambda, S3, DynamoDB, RDS, Step Functions, etc.).
• Strong practical experience in deploying and optimizing production workloads on Kubernetes.
• Demonstrated experience with large datasets, distributed computing, and both batch and stream processing using Spark, Dask, EMR, Glue, Kafka, etc.
• Comprehensive understanding of system design, distributed systems, scalability patterns, and cloud architecture.
• Proficient in business-level English to effectively communicate with cross-functional teams across different regions.
• Capable of collaborating, clearly documenting solutions, and engaging in technical discussions with stakeholders.
• Market Leading Compensation Package.
• Wellness Programs to Support Health and Wellbeing.
• Working with the latest tools and technologies in a fast-paced environment.
• Remote Work Flexibility.
• Comprehensive Employee Insurance Coverage: Medical, Dental, Vision, Life Insurance.
• Annual Time Off: Time off is provided in accordance with applicable legislative requirements.
• Global Connected Culture: Hubs in Romania, UK, US, Canada.
• Dynamic Work Culture: Thrive in our innovative and multicultural environment.
• Grow with Us: Continuous development opportunities.
Bemobi
Unisys
Dailymotion
SoftExpert - Software for Excellence
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