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Graduate Data Engineer Jobs in Florida (NOW HIRING)

... Lead, AI/ML engineers, and AI Product Managers to move models from notebook to production ... Graduate degree in a quantitative field (Statistics, Operations Research, Computer Science, Applied ...

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... data transfer, operating reliably in challenging sea states ... This role is ideal for a strong graduate, Master's student, or PhD candidate looking for hands-on ...

Specific activities may change from time to time. 1. Independently perform sophisticated data ... Engineering 2. Four years of relevant work experience if candidate lacks graduate degree 3. ...

Bachelor's- or master's-level applicants considering future graduate study will gain substantial ... Proficiency in at least one programming language used in empirical research (e.g., Stata, R, Python ...

Bachelor's- or master's-level applicants considering future graduate study will gain substantial ... Proficiency in at least one programming language used in empirical research (e.g., Stata, R, Python ...

Assign, review, and evaluate laboratory or field data for inclusion in reports. Apply sound ... May supervise field staff including graduate/field engineers, engineering technicians, exploration ...

Assign, review, and evaluate laboratory or field data for inclusion in reports. Apply sound ... May supervise field staff including graduate/field engineers, engineering technicians, exploration ...

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$33.3K

$96.9K

$132.6K

How much do graduate data engineer jobs pay per year?

As of Jun 11, 2026, the average yearly pay for graduate data engineer in Florida is $96,936.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,600.00 and $102,800.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Graduate Data Engineer position, and why are they important?

A Graduate Data Engineer typically requires a bachelor's degree in computer science, engineering, mathematics, or a related field, along with foundational knowledge of programming, data structures, and database concepts. Familiarity with technologies such as SQL, Python, cloud platforms (e.g., AWS, Azure), and modern data engineering tools like Apache Spark or Hadoop is often expected, and introductory certifications can provide an added advantage. Strong analytical thinking, problem-solving ability, effective communication, and eagerness to learn are valuable soft skills in this role. These skills and qualities are crucial for efficiently building, maintaining, and optimizing data pipelines that support business decision-making.

What are the typical daily tasks and responsibilities of a Graduate Data Engineer?

As a Graduate Data Engineer, your daily tasks may include building and maintaining data pipelines, assisting with data cleansing and transformation, and collaborating with data scientists and other engineers to deliver reliable datasets. You'll often work with structured and unstructured data, write scripts to automate data workflows, and help troubleshoot data integration issues as they arise. Throughout your work, you'll be expected to document processes and learn new tools or technologies as the team evolves. This role provides an excellent opportunity to develop hands-on technical skills while working closely with experienced professionals in a collaborative setting.

What is a Graduate Data Engineer job?

A Graduate Data Engineer is an entry-level role focused on designing, building, and maintaining data pipelines and infrastructure. They work with large datasets, ensuring data is collected, processed, and stored efficiently for analysis. Typically, they collaborate with data scientists, analysts, and other engineers to support data-driven decision-making. This role often involves using programming languages like Python or SQL, cloud platforms, and big data technologies. Graduate Data Engineers gain hands-on experience in data engineering principles and tools, helping organizations manage and optimize their data workflows.

What are the most commonly searched types of Graduate Data Engineer jobs in Florida? The most popular types of Graduate Data Engineer jobs in Florida are:
What are popular job titles related to Graduate Data Engineer jobs in Florida? For Graduate Data Engineer jobs in Florida, the most frequently searched job titles are:
Infographic showing various Graduate Data Engineer job openings in Florida as of June 2026, with employment types broken down into 100% Full Time. Highlights an 90% In-person, and 10% Remote job distribution, with an average salary of $96,936 per year, or $46.6 per hour.

Assistant Professor or Instructor in Computer Science

ST THOMAS UNIVERSITY INC

Miami Gardens, FL

Full-time

Posted 2 days ago


Job description

Located in sunny Miami, Florida, St. Thomas University is a private, non-profit university that offers 39 undergraduate, graduate, and postgraduate degrees at its picturesque 144-acre campus and through distance learning. Its academic offerings include one of the oldest (and most highly ranked) undergraduate programs in Sports Administration in the country. STU has been ranked #1 by U.S. News & World Report in Social Mobility for regional universities in the South, which means it takes students from the lowest financial strata and catapults them to much higher financial strata in only ten years. St. Thomas University is the only Catholic Archdiocesan-sponsored university in Florida, and one of the only eight Archdiocesan universities nationwide.

POSITION SUMMARY:

A Computer Science faculty member to serve as Program Director and to lead, manage, and teach in the Bachelor of Science of Computer Science program as well as the Master of Science in Data Science program and/or the Master of Science in Cybersecurity & Analytics program.

ESSENTIAL FUNCTIONS:
  • Direct the University's computer science programs. This includes ongoing management functions such as class scheduling, selection of course materials, hiring adjuncts, as well as evaluations of courses and faculty.
  • Develop new program initiatives in AI and IT.
  • Teach undergraduate lectured Computer Science courses such as Data Structures and Algorithms, Database, Software Engineering, and programming in C++, Java, and Python.
  • Teach graduate lectured data science courses such as Data Engineering, Applied Machine Learning, and Statistical Methods, or cybersecurity courses such as Cybersecurity Technologies and Ethical Hacking.
  • Carry a minimum class load of 12 credits per semester.
  • Available for a minimum of 12 hours a week for office hours.
  • Other Computer Science and Data Science teaching, research, and advising duties as assigned.

REQUIRED EDUCATION AND EXPERIENCE:

  • PhD in Computer Science, Computational Science, Computer Engineering, Data Science or a closely related field.

  • Qualified experience teaching and working with undergraduate and graduate students.

PREFERRED EDUCATION AND EXPERIENCE:

  • Record of publication and research in data science or cybersecurity.

  • Experience with online teaching delivery.

POSITION QUALIFICATIONS:

  • Familiarity with current developments in AI and cloud technologies.

  • Able to program and teach in Python, Java, and C++.

  • Comfortable with several classroom technological applications