About this role
Senior Data/ML Engineer (AWS) at CapNexus. Location: New York or United States. Role: designing architecture, building pipelines, deploying models Requirements: 5+ years data/ML engineering experience (2+ years in AWS); strong Python and SQL skills; hands-on experience with AWS data services, SageMaker, Bedrock, entity resolution, data modeling, MLOps, and cloud migrations. Category: Data and Analytics Seniority: Senior Level Tools: Python, SQL, Amazon S3, AWS Glue, AWS Glue ETL, AWS Glue Data Catalog, Amazon Kinesis, AWS Data Pipeline, AWS Step Functions, Amazon Athena, Amazon QuickSight, Amazon SageMaker, Amazon Bedrock, Kiro CLI, Amazon Entity Resolution, AWS DataSync, AWS Lake Formation, AWS Lambda, Amazon API Gateway, CDP, Microsoft Azure Data Lake, Microsoft Azure Data Factory, Microsoft Azure Synapse Certifications: aws machine learning specialty, aws data analytics specialty, aws solutions architect Commitment: Full Time, Contract Workplace: Remote Languages: English