Data & AI Engineer – AWS, Java, Python

🔥 12 hours ago

🍂 Massachusetts – Remote

🍂 Massachusetts – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

☁️ Cloud Engineer

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Incentivio

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2017

🍽️ Food & Beverage

💼 Consulting

📣 Marketing

💰 $10M Series A on 2023-05

Food & Beverage • Consulting • Marketing

Incentivio is a comprehensive platform designed to transform how restaurants engage customers and drive growth. The company offers a suite of tools including personalized marketing campaigns, integrated loyalty programs, online ordering, and mobile app solutions. Incentivio's platform leverages AI and machine learning to provide actionable analytics and automate guest engagement through features like upsell recommendations, churn management, and menu intelligence. By consolidating various tools into one platform, restaurants can maintain control over their digital experience, offer tailored ordering without commission fees, and enhance guest relationships with data-driven marketing. Incentivio is trusted by over 3500 restaurant locations for its advanced guest insight and intelligent engagement strategies.

📋 Description

• 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

• 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

• No benefits or compensation extras are specified in the posting