V
Data & AI Engineer
Virtual Vocations Inc
3 hours ago
Full-time
On-site
East New York, New York, United States
To build and operate data platforms and AI-powered applications on AWS, the remote Data & AI Engineer will leverage strong Java backend engineering and Python skills to deliver reliable analytics, intelligent automation, and personalized guest experiences.
Key responsibilities:
Design and build scalable AWS-based data, backend, and AI solutions focusing on reliability, security, performance, and cost Develop Java/Spring Boot services, APIs, data models, and integrations across MySQL, MongoDB, and third-party platforms Build and maintain reliable data ingestion and processing pipelines for transaction, guest, ordering, loyalty, and payment data
Required qualifications:
5+ years of production software or data engineering experience, with strong Java/Spring Boot and AWS experience Proficiency in Python for data processing, AI workflows, and automation Hands-on AWS data engineering experience with S3 and distributed processing technologies such as EMR, Glue, or Spark Experience building AI/ML applications using technologies such as Amazon Bedrock and SageMaker Strong understanding of AWS infrastructure, messaging, security, monitoring, and containerized applications
Design and build scalable AWS-based data, backend, and AI solutions focusing on reliability, security, performance, and cost Develop Java/Spring Boot services, APIs, data models, and integrations across MySQL, MongoDB, and third-party platforms Build and maintain reliable data ingestion and processing pipelines for transaction, guest, ordering, loyalty, and payment data
Required qualifications:
5+ years of production software or data engineering experience, with strong Java/Spring Boot and AWS experience Proficiency in Python for data processing, AI workflows, and automation Hands-on AWS data engineering experience with S3 and distributed processing technologies such as EMR, Glue, or Spark Experience building AI/ML applications using technologies such as Amazon Bedrock and SageMaker Strong understanding of AWS infrastructure, messaging, security, monitoring, and containerized applications