Data & AI Engineer – AWS, Java, Python

Incentivio

. Design and build scalable AWS-based data, backend, and AI solutions .

Posted 9/25/2026full-timeRemote • Massachusetts • United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and building scalable AWS-based data and AI solutions, with strong capabilities in Java/Spring Boot development, data modeling, and the creation of reliable data pipelines. Proficient in leveraging AWS services and tools for data processing, AI workflows, and ensuring data security and governance.

Highest-signal resume keywords

AWS Data EngineeringJava/Spring Boot DevelopmentData Pipeline DesignAI/ML Application DevelopmentCI/CD and Infrastructure as Code

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

JavaSpring BootSQLData ModelingMySQLMongoDBPythonAWS S3EMRGlue

Soft Skills

CommunicationTroubleshootingEngineering Judgment

Tools & Technologies

Amazon BedrockOpenSearchSparkAthenaCI/CD Tools

Industry Keywords

Data IngestionAI QualityProduction MonitoringPredictive MLLoyalty Systems

Tech Stack

Tools & technologies

AWSJavaMongoDBMySQLPythonSparkSpringSpring BootSpringBootSQL

About the role

Key responsibilities & impact

Design and build scalable AWS-based data, backend, and AI solutions
Develop Java/Spring Boot services, APIs, data models, and integrations across MySQL, MongoDB, and third-party platforms
Build and maintain data ingestion and processing pipelines for transaction, guest, ordering, loyalty, and payment data
Develop and modernize the AWS data platform using S3, EMR, Spark, Glue, and Athena
Create trusted, reusable datasets and data models for analytics, customer intelligence, and AI/ML applications
Build generative AI and RAG applications using Amazon Bedrock, OpenSearch, and related technologies
Support predictive ML use cases including churn, recommendations, and segmentation
Establish testing, monitoring, and evaluation for data pipelines, AI quality, application performance, and production reliability
Ensure security, privacy, tenant isolation, and governance of customer and guest data
Maintain engineering quality through CI/CD, infrastructure as code, automated testing, code reviews, and documentation
Own work across data ingestion, modeling, application development, AI integration, deployment, and production operations

Requirements

What you’ll need

5+ years of production software or data engineering experience
Strong Java/Spring Boot and AWS experience
Strong Java, SQL, data modeling, and database optimization skills, including MySQL and MongoDB
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 Amazon Bedrock and SageMaker, including generative AI, RAG, embeddings, and model evaluation
Experience designing reliable data pipelines, including incremental processing, schema evolution, reconciliation, and failure recovery
Strong understanding of AWS infrastructure, messaging, security, monitoring, and containerized applications
Experience with automated testing, CI/CD, infrastructure as code, and production monitoring
Strong engineering judgment, communication, troubleshooting skills, and effective use of AI-assisted development tools
Nice to have: Experience with OpenSearch, streaming/CDC technologies, advanced data lake architectures, predictive ML/recommendation systems, and restaurant technology, payments, loyalty, or POS integrations
Must be legally authorized to work in the US, as required by the application questions

Benefits

Comp & perks

No benefits or compensation extras are specified in the posting