[Remote] Senior Data/ML Engineer (AWS)

Note: The job is a remote job and is open to candidates in USA. Capnexus is a comprehensive services provider specializing in retail software development and support. They are seeking a highly skilled Senior AWS Data/ML Engineer to lead data architecture, pipeline development, and data integrations, leveraging advanced cloud data engineering skills and generative AI to modernize enterprise workflows.ResponsibilitiesParticipate in data discovery workshops to inventory source systems including property management platforms, marketing channels, and CRM data, and translate findings into data lake architecture requirementsDesign and implement a multi-zone enterprise data lake on Amazon S3 (raw, conformed, enriched, aggregated) with ingest, cleansing, and business layers aligned to the SOW architectureBuild batch and streaming data ingestion pipelines using AWS Glue, Amazon Kinesis, and AWS Data Pipeline across CDP, marketing, and property management data sourcesImplement data transformation and orchestration frameworks using AWS Glue ETL and AWS Step Functions, including AWS Glue Data Catalog for metadata management and discoveryConfigure Amazon Athena for serverless SQL querying across the data lake; support QuickSight integration with curated data sets for business analyticsDevelop and deploy ML models on Amazon SageMaker for lead scoring, predictive maintenance, intelligent underwriting risk scoring, and AI-powered audience segmentationIntegrate Amazon Bedrock foundation models to enable generative AI capabilities including customer profile enrichment, hyper-personalization, and intelligent marketing automationUse Kiro CLI to accelerate AI-assisted development workflows, spec-driven pipeline implementation, and automated code generation tasksDesign and implement entity resolution pipelines using Amazon Entity Resolution to identify, deduplicate, and merge customer records into unified golden recordsImplement real-time and batch data synchronization pipelines between source systems and the Customer Data Platform (CDP)Support Azure data lake migration: conduct discovery, assess schemas and transformation logic, provision AWS target environments, execute migration via AWS DataSync, and perform data validation and reconciliationImplement data lake security using AWS Lake Formation, including row-level security and column-level encryptionBuild and maintain data models to support Customer 360 views, ML feature stores, and executive analytics dashboardsEnsure data quality, validation, and integrity across all pipeline stages and ML model outputs; support UAT for data-dependent featuresCollaborate with Full Stack, DevOps/MLOps, and AWS engagement teams; contribute to architecture documentation, pipeline runbooks, and data governance documentationSkills5+ years of data engineering or ML engineering experience, with at least 2+ years in AWS cloud environmentsStrong proficiency in Python and SQL; experience with AWS data services including S3, Glue, Athena, Kinesis, and Step FunctionsHands-on experience with Amazon SageMaker for model development, training, tuning, and endpoint deploymentWorking knowledge of Amazon Bedrock for integrating and applying foundation models in production-grade pipelinesExperience designing and implementing multi-zone data lake architectures on Amazon S3, including lifecycle policies and Lake Formation governanceFamiliarity with Kiro CLI or comparable AI-assisted/agentic development toolingExperience with entity resolution, deduplication, or master data management concepts and toolsSolid understanding of data modeling, feature engineering, data quality practices, and ML integration testingExperience with AWS Lambda and AWS Step Functions for serverless workflow orchestrationFamiliarity with Amazon API Gateway for exposing data services and model endpointsStrong analytical, problem-solving, and communication skills; comfortable working in Agile/Scrum teams alongside AWS Professional ServicesExperience with Azure Data Lake, Azure Data Factory, or Azure Synapse — particularly in cloud-to-cloud migration contextsFamiliarity with Amazon Entity Resolution for customer identity and deduplication use casesExperience with MLOps practices including model monitoring, drift detection, and automated retraining on SageMakerExperience with LLM prompt engineering, RAG architectures, or fine-tuning workflows on Amazon BedrockKnowledge of Amazon QuickSight for analytics dataset preparation and embedded dashboard developmentAWS Certification (Machine Learning Specialty, Data Analytics Specialty, or Solutions Architect)Background in real estate, property management, marketing technology, or insurance industriesBenefitsRemote workCompany OverviewCapNexus is a consulting and IT services company that provides enterprise technology transformation services for companies. It was founded in 2026, and is headquartered in Middletown, New York, USA, with a workforce of 51-200 employees. Its website is https://capnexus.io.