Data & AI Engineer

Cruise Planners Travel Agency

. Design and operate AWS data pipelines using Glue, Step Functions, Lambda, EventBridge, and S3, feeding the Redshift data warehouse .

Posted 10/10/2026full-timeCoral Springs • Florida • United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and operating AWS data pipelines, including proficiency in AWS services such as Glue, Lambda, and Redshift. Capable of building AI-powered applications and maintaining data privacy compliance while effectively communicating technical concepts to non-engineers.

Highest-signal resume keywords

AWS Data Pipeline DesignAmazon Bedrock ExperiencePython ProgrammingData WarehousingInfrastructure-as-Code

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AWS GlueAWS LambdaAWS RedshiftSQLData ModelingDocument-Extraction PipelinesClaude CodeMCP ServersAgent FrameworksLLM Frameworks

Soft Skills

Problem-SolvingCommunicationCollaborationDocumentation Skills

Tools & Technologies

AWS FargateAWS ECSCloudWatchEventBridgeStrands Agents SDK

Certifications & Qualifications

Bachelor's Degree in Computer ScienceMaster's Degree Preferred

Industry Keywords

Data EngineeringAI-Powered ApplicationsData Privacy ComplianceDimensional ModelingServerless Services

Tech Stack

Tools & technologies

Amazon RedshiftAWSPythonSQL

About the role

Key responsibilities & impact

Design and operate AWS data pipelines using Glue, Step Functions, Lambda, EventBridge, and S3, feeding the Redshift data warehouse
Operate containerized production pipelines on AWS Fargate/ECS with CloudWatch alarms and health monitoring
Design dimensional data models, including facts, conformed dimensions, and analytics marts, on Redshift
Implement document-extraction pipelines using Amazon Bedrock Data Automation blueprints
Build and operate Bedrock Knowledge Bases for retrieval-augmented generation
Build agents using the Strands Agents SDK on Bedrock AgentCore
Build applied-LLM data products for reporting, search, and agentic operations
Deploy and operate AWS services end to end, including internal web apps and demos
Build internal tooling and integrations, including MCP servers
Prototype and ship AI-powered applications for advisors and internal teams
Maintain logs, alarms, runbooks, on-call response, post-incident notes, and data-privacy compliance monitoring
Conduct development through Claude Code with project-scoped MCP servers
Document decisions and architectures in the team wiki
Scope, build, deploy, document, and operate work end to end
Placement across Engineer I, Engineer II, and Senior levels based on experience, output, and judgment scope

Requirements

What you’ll need

Bachelor's degree in Computer Science, Data Science, Statistics, Engineering, or a related field
Master's degree preferred at the Senior level
Relevant production experience scaled to level (Data & AI Engineer I / II / Senior)
Authorization to work in the United States without sponsorship
Experience building with AWS data and serverless services
Experience with Amazon Bedrock and AgentCore Runtime
Python (primary) and SQL (baseline)
Data warehousing and dimensional modeling
Agent and LLM frameworks
Infrastructure-as-code
Experience using Claude Code as the primary development surface, including parallel sessions
Experience with MCP servers
Strong problem-solving, communication, and collaboration skills
Ability to write clear documentation and explain technical trade-offs to non-engineers

Benefits

Comp & perks

Professional development and hands-on training with the industry’s top executives
Hybrid work arrangement: remote Mondays and Fridays; onsite Tuesdays, Wednesdays, and Thursdays
Equal employment opportunity and nondiscrimination protections