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

Senior Data Engineer

Miami, FL · Hybrid

$101K - $137K/yr

As an experienced Senior Data Engineer you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. If so, consider an opportunity ...

Project - Data Engineer II

Miami, FL · On-site

$109K - $131K/yr

As an experienced Data Engineer - Project Delivery Senior Analyst, you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. If ...

Sr Data Engineer

Fort Lauderdale, FL

$116K - $153K/yr

Senior Data Engineer Role Details: We are looking for a talented senior data engineer specializing ... Build new foundational capabilities using domain-driven design and test-driven development that ...

... a Data Engineer - Senior Associate, you will focus on designing and building data infrastructure ... By using a broad range of tools, methodologies, and techniques, you will generate new ideas and ...

Overview As a Senior Data Engineer, you will play a pivotal role in driving our data strategy and ... The hiring salary range for this position applies to New York, California, Colorado, Washington ...

Data Analytics Engineer

Miami Lakes, FL · On-site

$103K - $124K/yr

The Data Analytics Engineer will be responsible for expanding and optimizing our data and data ... Identifies process gaps and recommend new opportunities for process improvement through the use of ...

Showing results 21-40

New Grad Data Engineer information

See Miami, FL salary details

$42.6K

$124.1K

$169.8K

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

As of Aug 7, 2026, the average yearly pay for new grad data engineer in Miami, FL is $124,066.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,500.00 and $131,500.00 per year, depending on experience, location, and employer.

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.

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 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.

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 such as SQL, Python, or cloud platforms, and demonstrate a strong understanding of data pipelines and systems. Entry-level roles often focus on potential and foundational knowledge, and internships or projects can strengthen your application.
What job categories do people searching New Grad Data Engineer jobs in Miami, FL look for? The top searched job categories for New Grad Data Engineer jobs in Miami, FL are:
What cities near Miami, FL are hiring for New Grad Data Engineer jobs? Cities near Miami, FL with the most New Grad Data Engineer job openings:
Infographic showing various New Grad Data Engineer job openings in Miami, FL as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $124,066 per year, or $59.6 per hour.

$53.25 - $71.25/hr

Full-time

Re-posted 11 days ago


Job description

GROW YOUR CAREER WITH US
At Norwegian Cruise Line Holdings (NCLH), we know our future success depends on our ability to attract and retain the very best talent. Our brands deliver vacations of a lifetime with innovative product offerings, a high level of service and unique guest experiences aboard each vessel and we're continually seeking applicants who are passionate about hospitality and committed to being their personal best. As you learn more about our company, we think you will agree that there is no better time than now to become a member of the NCLH family!
APPLY ONLINE
If you're interested to be considered for this position, please click the blue APPLY button at the top of the page to get started. All candidates must complete an on-line application to be considered.

JOB SUMMARY

Responsible for designing and implementing robust data pipelines. Must maintain high data quality and security in cloud environments, automating tasks with Python and Bash scripting, and continuously research new technologies to enhance scalability. This role focuses on the development and implementation of data engineering solutions that enhance data warehousing capabilities and maintain legacy and new systems.

DUTIES & RESPONSIBILITIES

  • Design and implement data pipelines to move and transform data from various sources into cloud-based data warehouses.
  • Develop and maintain ETL processes using tools such as Fivetran, Matillion, SSIS, SSAS, SSRS and Snowflake Dataflow on AWS.
  • Optimize data storage and retrieval by designing and implementing data partitioning, indexing, and compression strategies.
  • Build and maintain data processing infrastructure on cloud platforms such as AWS.
  • Collaborate with business and analysts to ensure data quality, accuracy, and availability for analysis and reporting.
  • Manage and lead Complex System Design, Integration and Development.
  • Monitor and troubleshoot data pipelines and infrastructure to ensure high availability and performance.
  • Implement security and access controls to protect sensitive data in cloud-based environments.
  • Automate data processing tasks using scripting languages such as Python or Bash
  • Research and evaluate new technologies and tools to improve data processing efficiency and scalability.
  • Mentor and train junior data engineers and provide technical guidance to cross-functional teams.
  • Perform other job-related functions as assigned.

QUALIFICATIONS

DEGREE TYPE:

Bachelor's Degree

FIELD(S) OF STUDY:

Computer Science, Engineering or related field

EXPERIENCE

  • Minimum of 4 years' experience developing, validating, and implementing data warehouses, data systems or cloud-based data solutions.
  • Experience in data engineering with a focus on data warehousing and legacy systems.
  • Experience with multiple data modeling approaches, SQL, and scripting programming languages like Python and PowerShell.

COMPETENCIES/SKILLS

  • Good understanding of OLAP Cubes, Dimensional model.
  • Ability to lead and coach team members.
  • Strong communication skills and stakeholder engagement abilities; driving results through innovation, process improvement and creativity.
  • Able to prioritize and execute tasks in a high-pressure, fast-paced environment.
  • Demonstrated understanding of agile methodologies, QA practices and user experience, with strong digital & technical skills.
  • Experienced with collaboration tools (Jira, Confluence, Lucid Chart;).
  • Strong understanding of databases such as Microsoft SQL Server, Oracle, MySQL, HANA, Snowflake.
  • Experience with traditional on-prem virtual and physical infrastructure, as well as cloud-based environments, preferably AWS.
  • Excellent understanding of Windows, and Linux based infrastructure.
  • Working knowledge of various tools, open-source technologies, and cloud services

ABOUT NCLH
Norwegian Cruise Line Holdings Ltd. (NYSE: NCLH) is a leading global cruise company which operates the Norwegian Cruise Line, Oceania Cruises and Regent Seven Seas Cruises brands. The combined brands currently operate 32 ships, employ over 35,000 shipboard crew from more than 110 different countries and visit approximately 700 different port destination each year.
LEARN MORE ABOUT OUR COMPANY:
At a Glance
Brand Overview
Norwegian Cruise Line
Oceania Cruises
Regent Seven Seas Cruises

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EQUAL OPPORTUNITY EMPLOYER
It is Norwegian Cruise Line Holding's policy not to discriminate against any employee or applicant for employment because of race, color, religion, sex, national origin, age, disability, and marital or veteran status.

The above statements are intended to describe the general nature and level of work being performed by people assigned to this classification. They are not to be construed as an exhaustive list of all responsibilities, duties, and skills required of personnel so classified. All personnel may be required to perform duties outside of their normal responsibilities from time to time, as needed.