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Internship Amazon Data Services Jobs in Boca Raton, FL

Kforce Technology Staffing

Data Engineer

Coral Springs, FL · On-site

$109K - $130K/yr

AWS (Amazon Web Services) * Redshift * EC2 * Solid understanding of statistical analysis and data modeling * Excellent problem-solving and analytical skills * Strong communication and presentation ...

Amazon

Senior Station Manager

Fort Lauderdale, FL · On-site

... and operations objectives for an Amazon Logistics Delivery Station (DS). Additional ... Service Providers (DSPs) - Presents operational metrics regularly to the senior leadership team ...

Recom

Sales Engineer

Deerfield Beach, FL · On-site

Develop custom marketplace growth strategies leveraging Recom's services and translate technical ... on Amazon ecosystem tools and marketplace best practices. * Build data-driven presentations ...

Armaninollp

Data & AI Platform Engineer

Boca Raton, FL

$108K - $130K/yr

... internships/co-ops count). * Minimum 1 year of representative accounting experience whether ... Armanino LLP is a licensed independent CPA firm that provides attest services, and Armanino ...

New

The SilverLogic

AI Engineer Internship

Boca Raton, FL · On-site

Set up data pipelines, dashboards, and reports to track results, surface insights, and support ... Comfort integrating APIs and working with LLMs or other AI services. * Familiarity with at least ...

The SilverLogic

AI Engineer Internship

Boca Raton, FL · On-site

Set up data pipelines, dashboards, and reports to track results, surface insights, and support ... Comfort integrating APIs and working with LLMs or other AI services. * Familiarity with at least ...

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All JobsAmazon Data Services JobsInternship Amazon Data Services JobsInternship Amazon Data Services Jobs in Boca Raton, FL

Internship Amazon Data Services information

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How much do internship amazon data services jobs pay per hour?

As of Aug 14, 2026, the average hourly pay for internship amazon data services in Boca Raton, FL is $21.36, according to ZipRecruiter salary data. Most workers in this role earn between $16.44 and $23.27 per hour, depending on experience, location, and employer.

What is the difference between Internship Amazon Data Services vs Data Analyst Intern?

AspectInternship Amazon Data ServicesData Analyst Intern
Required CredentialsRelevant coursework, basic data skillsRelevant coursework, some programming knowledge
Work EnvironmentTech company, cloud data infrastructureBusiness or tech environment, data analysis tasks
Employer & IndustryAmazon, cloud and e-commerce industryVarious industries, business analytics

Internship Amazon Data Services focuses on cloud data infrastructure and technical skills within Amazon's environment, while Data Analyst Internships emphasize data analysis and business insights across industries. Both roles require foundational data knowledge but differ in technical depth and industry focus.

What are some typical projects or tasks an intern might work on at Amazon Data Services?

As an intern at Amazon Data Services, you can expect to work on impactful projects that support the company's cloud infrastructure, data management, or operational efficiency. Common tasks may include assisting in data analysis, automating processes using scripting languages, supporting cloud migration initiatives, or contributing to the monitoring and optimization of data center operations. Interns often collaborate with experienced engineers and analysts, gaining exposure to large-scale systems and best practices in the cloud industry. This hands-on experience can provide a strong foundation for a future career in technology and cloud computing.

What is an internship Amazon Data Services position?

Internship positions at Amazon Data Services offer students and recent graduates hands-on experience working with the cloud infrastructure that powers Amazon Web Services (AWS). Interns typically work on real-world projects related to data management, cloud computing, and infrastructure optimization. These internships provide valuable exposure to cutting-edge technology and an opportunity to learn from experienced professionals in the tech industry. Applicants should have a strong interest in technology, relevant coursework, and a willingness to learn in a fast-paced environment.

What are the key skills and qualifications needed to thrive as an intern at Amazon Data Services, and why are they important?

To thrive as an intern at Amazon Data Services, you need a solid background in computer science fundamentals, data analysis, and problem-solving, typically supported by enrollment in a relevant degree program. Familiarity with programming languages (such as Python or Java), cloud platforms like AWS, and data management tools is highly beneficial. Strong communication, teamwork, and adaptability are crucial soft skills that help interns integrate and contribute effectively to dynamic projects. These skills and qualities are essential for successfully navigating complex technical tasks and collaborating in Amazon's fast-paced, innovative environment.

What are popular job titles related to Internship Amazon Data Services jobs in Boca Raton, FL?

For Internship Amazon Data Services jobs in Boca Raton, FL, the most frequently searched job titles are:

What job categories do people searching Internship Amazon Data Services jobs in Boca Raton, FL look for?

The top searched job categories for Internship Amazon Data Services jobs in Boca Raton, FL are:

Internship Amazon Data Services jobs near you
Infographic showing various Internship Amazon Data Services job openings in Boca Raton, FL as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 19% Part Time, 1% Temporary, and 3% Contract. Highlights an 93% Physical, 3% Hybrid, and 4% Remote job distribution, with an average salary of $44,420 per year, or $21.4 per hour.

Data & AI Engineer - (Hybrid)

Cruise Planners

Coral Springs, FL • On-site

$109K - $130K/yr

Full-time

Posted 22 days ago

Job description

Cruise Planners is the largest franchisor of home-based travel agencies across the country that independently book cruises, tour, and land vacations. Cruise Planners has achieved Top Producer status with virtually every cruise line, tour, and resort company. Cruise Planners has been named the No.1 Cruise Tour / Travel Agency by Entrepreneur Magazine for the past 10 years and recently featured in Entrepreneur as one of the top 30 franchise innovators in technology. Cruise Planners positions franchise owners for success by providing them with innovative marketing, booking and lead-generating tools as well as professional development and hands-on training with the industry's top executives. Cruise Planners Home Office has won awards such as Coolest Offices and Top Places to Work in South Florida by Sun Sentinel and South Florida Business Journal.
Job Summary
The Data & AI Engineer designs, builds, and operates the data and AI systems behind Cruise Planners' analytics, advisor-facing products, and internal automation. The role combines production data engineering on AWS (Glue, Redshift, Step Functions, Lambda, S3) with applied generative-AI work on Amazon Bedrock (Data Automation, Knowledge Bases, AgentCore) and the Strands Agents SDK.
Day-to-day development is conducted through agentic coding tooling - Claude Code with MCP - used as a primary engineering surface, not as autocomplete, with the pace and scope of delivery expected to exceed what traditional tooling supports. The team is small: engineers scope, build, deploy, document, and operate their own work end to end.
The items listed below are intended to provide an overview of the essential functions of the job. This is not an exhaustive list of all functions and responsibilities that the position may be required to perform.
Responsibilities
  • Design and operate data pipelines on AWS - Glue, Step Functions, Lambda, EventBridge, S3 - feeding the Redshift data warehouse.
  • Stand up and operate containerized production pipelines on AWS Fargate / ECS (scheduled ingest or scrape, enrich, deliver) with CloudWatch alarms and health monitoring.
  • Design dimensional data models - facts, conformed dimensions, and analytics marts - on Redshift over a zero-ETL replica of the operational source.
  • Implement document-extraction pipelines using Amazon Bedrock Data Automation blueprints and deliver structured output to downstream consumers via webhook or queue.
  • Build and operate Bedrock Knowledge Bases for retrieval-augmented generation: source preparation, indexing, retrieval evaluation, and cost / latency tuning.
  • Build agents using the Strands Agents SDK on Bedrock AgentCore - supervisor / sub-agent topologies, tool definitions, and deployment hardening.
  • Build applied-LLM data products for reporting, search, and agentic operations.
  • Deploy and operate services on AWS end to end, including internal web apps and demos.
  • Build internal tooling and integrations, including MCP servers.
  • Prototype and ship new AI-powered applications for advisors and internal teams.
  • Maintain operational quality - logs, alarms, runbooks, on-call response, post-incident notes - and continuously monitor quality and compliance with data-privacy regulations.
  • Conduct day-to-day development through Claude Code with project-scoped MCP servers, document decisions and architectures in the team wiki.

Competencies - Technical (builds with)
  • AWS data and serverless services.
  • Amazon Bedrock and AgentCore Runtime.
  • Python (primary); SQL (baseline).
  • Data warehousing and dimensional modeling.
  • Agent and LLM frameworks.
  • Infrastructure-as-code.

Competencies - Tooling (works with)
  • Claude Code as the primary development surface, including parallel sessions.
  • MCP servers (AWS, Excolo, Atlassian) as deterministic tool routing for work that previously spanned terminal, IDE, and browser.
  • Comfort treating the model as a collaborator - generating alternatives, having design conversations, validating choices before committing - rather than as autocomplete.

Competencies - General
  • Writes documentation a teammate can pick up and act on without a meeting.
  • Explains trade-offs in plain language to non-engineers (Marketing, Operations, Finance).
  • Strong problem-solving, communication, and collaboration skills.

Requirements
  • Bachelor's degree in Computer Science, Data Science, Statistics, Engineering, or a related field. Master's 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.

Levels
Placement is by experience, evidenced output, and judgment scope - not by years alone.
  1. Data & AI Engineer I - Executes scoped work end to end under guidance; ships well-defined pipelines, blueprints, or Knowledge Base load jobs.
  2. Data & AI Engineer II - Owns workstreams end to end (design, build, deploy, operate) and makes architecture choices within an established pattern; writes the playbook a peer can ship from.
  3. Senior Data & AI Engineer - Owns multi-system architecture; stands up a new pattern (e.g., AgentCore deployment, multi-agent topology) without precedent; coaches peers; represents the team in cross-functional design. Operates across the full stack - Fargate production pipelines, inbound AWS deployments, applied-LLM data products, and end-to-end agent architecture.

This is a hybrid role (Mondays and Fridays - remote and Tuesdays-Thursdays on-site)
Cruise Planners provides equal employment opportunities (EEO) to all team members and applicants for employment without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, marital status, or status as a covered veteran in accordance with applicable federal, state and local laws. Cruise Planners complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities or team members. This policy applies to all terms and conditions of employment.

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