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New Grad Data Engineer Jobs in Margate, FL (NOW HIRING)

Appodeal

Financial Data Analyst

Parkland, FL · On-site

Partner with Data Engineering to: - define financial data requirements, - validate pipelines and ... Build dynamic, forecasting models that pull from historical data, update with new actuals, and ...

Pwc

AI Engineer

Boca Raton, FL · On-site

$50K - $112K/yr

... data quality and infrastructure to support reliable AI operations - Engaging in continuous learning to adapt to new technologies and methodologies in AI engineering What You Must Have - At least a ...

Appodeal

Financial Data Analyst

Parkland, FL · On-site

Partner with Data Engineering to: - define financial data requirements, - validate pipelines and ... Build dynamic, forecasting models that pull from historical data, update with new actuals, and ...

ChenMed, LLC

Senior Data Integration Engineer

Miami, FL · On-site

The Senior Data Integration Engineer is responsible for coding standard and non-standard (Health ... Manages assigned projects and new hire training for less senior positions, in addition to providing ...

Motorola

Portfolio Data Analyst

Plantation, FL · On-site

Stochastic Risk Engineering & Code Development: Write production-grade code to build data pipelines ... Proactively discover and quantify the ROI of new feature opportunities, leverage predictive models ...

Jazwares

Data Architect

Plantation, FL

$60.75 - $78/hr

Collaborate with Data Engineers, Data Analysts, and Business Intelligence teams to optimize data ... Duties, responsibilities, and activities may change, or new ones may be assigned at any time with ...

Jazwares-

Data Architect

Plantation, FL · On-site

$120 - $180/hr

Collaborate with Data Engineers, Data Analysts, and Business Intelligence teams to optimize data ... Duties, responsibilities, and activities may change, or new ones may be assigned at any time with ...

Jazwares

Data Architect

Plantation, FL · On-site

$60.75 - $78/hr

Collaborate with Data Engineers, Data Analysts, and Business Intelligence teams to optimize data ... Duties, responsibilities, and activities may change, or new ones may be assigned at any time with ...

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Showing results 21-40

All JobsNew Grad Data Engineer JobsNew Grad Data Engineer Jobs in Margate, FL

New Grad Data Engineer information

See Margate, FL salary details

$40.2K

$117.3K

$160.5K

How much do new grad data engineer jobs pay per year?

As of Sep 4, 2026, the average yearly pay for new grad data engineer in Margate, FL is $117,290.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,500.00 and $124,300.00 per year, depending on experience, location, and employer.

What is a new grad data engineer?

A New Grad Data Engineer is an entry-level role for recent graduates who focus on designing, building, and maintaining data pipelines and infrastructure. They work with databases, ETL (Extract, Transform, Load) processes, and big data technologies to ensure efficient data flow and storage. Typically, they collaborate with data scientists, analysts, and software engineers to support data-driven decision-making. This role requires knowledge of SQL, Python, and cloud platforms, along with problem-solving and analytical skills. It is an excellent opportunity to gain hands-on experience in data engineering while learning industry best practices.

What does a new grad data engineer do?

As a New Grad Data Engineer, your day often involves writing and optimizing code for data pipelines, cleaning and transforming data, and troubleshooting any issues that arise. You’ll work closely with senior data engineers, data scientists, and sometimes business stakeholders to understand data requirements and deliver reliable solutions. Many entry-level roles emphasize learning and professional growth, so you can expect regular mentorship, code reviews, and opportunities to work on small components of larger projects. Over time, you’ll take on more complex responsibilities and contribute to the overall data infrastructure of your organization.

What are the key skills and qualifications needed to thrive as a new grad data engineer?

To thrive as a New Grad Data Engineer, you need a strong grasp of programming languages like Python or SQL, a background in computer science or a related field, and an understanding of data modeling and database concepts. Familiarity with data engineering tools such as ETL pipelines, cloud platforms like AWS or Azure, and certifications in these areas can be beneficial. Strong problem-solving skills, effective communication, and a willingness to learn are valuable soft skills for this position. These abilities ensure you can effectively handle complex data tasks, collaborate with technical teams, and adapt to evolving technologies in a fast-paced environment.

Are data engineers still in demand?

Data engineers are currently in high demand due to the increasing reliance on data-driven decision making and the growth of big data technologies. Skills in cloud platforms, data pipeline development, and tools like SQL, Python, and Apache Spark enhance job prospects in this field.

Can I get a new grad data engineer job with no experience?

Securing a new grad data engineer position without experience is possible if you have relevant skills in programming, databases, and data processing tools like SQL, Python, or Spark. Entry-level roles often focus on potential and foundational knowledge, and internships or certifications can strengthen your application.

What cities near Margate, FL are hiring for New Grad Data Engineer jobs?

Cities near Margate, FL with the most New Grad Data Engineer job openings:

New Grad Data Engineer jobs near you
Infographic showing various New Grad Data Engineer job openings in Margate, FL as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $117,290 per year, or $56.4 per hour.

Data & AI Engineer - (Hybrid)

Cruise Planners

Coral Springs, FL • On-site

$109K - $130K/yr

Full-time

Re-posted 14 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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