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Graduate Data Engineer Jobs in Florida (NOW HIRING)

Data Engineer

Davie, FL · On-site

$104K - $126K/yr

Data Engineer (Core Data Engineer role) 1 year assignment.(Temp to perm: Based on openings and ... Minimum Master's in Data Science and Compute Science - Graduate in recent years a. Data Analysis:

Senior Data Engineer

Fort Lauderdale, FL · On-site

$115K - $173K/yr

Overview As a Senior Data Engineer, you will play a pivotal role in driving our data strategy and ... STEM undergraduate degree with 4+ years of work experience or STEM graduate degree with 2+ years of ...

As a graduate Geotechnical Engineer, you will work alongside our Senior Engineers to provide ... Visual classification of soil samples and review of laboratory testing data; assist with laboratory ...

Bigdata Engineer

Tampa, FL · On-site

$52.75 - $69.75/hr

Design and create data pipelines to maintain stable dataflow to the machine learning models - both ... Graduate (MS) or Undergraduate degree in Computer Science/ Engineering/relevant field Nice to have:

As a graduate Geotechnical Engineer, you will work alongside our Senior Engineers to provide ... Visual classification of soil samples and review of laboratory testing data; assist with laboratory ...

Bigdata Engineer

Tampa, FL · On-site

$52.75 - $69.75/hr

... of data and serving web platforms • Enthusiastic self-starter with ability to work in a team environment. • Graduate (MS) or Undergraduate degree in Computer Science/ Engineering/relevant field ...

A minimum of two years utilizing data programming and data visualization software, such as R, * SAS ... Master's degree in public health or equivalent graduate degree in a health-related field. Ready to ...

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Graduate Data Engineer information

See Florida salary details

$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.
Data Engineer

Data Engineer

Unicon Pharma Inc.

Davie, FL • On-site

$104K - $126K/yr

Contractor

Posted 20 days ago


Job description

Description:
Title: Data Engineer (Core Data Engineer role)
1 year assignment.(Temp to perm: Based on openings and performance)
Davie, FL (Onsite)

Shift: Monday - Friday 8:00am - 5:00pm, 40 hours a week
Core Essential skill sets candidates must have:
1. Min 3 years experience as an expert using Power BI. Looking for persons who have created presentations and Dashboards. We are not looking for someone who has worked with a team to create these as a team but we are needing someone who knows how to create as aspects of the presentations and dashboard on their own.
2. Must be certified with Power BI Fabric.
3. Must have experience using Power BI creating models and dashboards. (Power BI fabrics & semantic models.)
4. Must have PL300 & Python certifications.
5. Must have experience using Power BI in Pharmaceutical Industry. (The worker must have good understanding of the Pharmaceutical industry.)
6. Proficiency in programming languages such as Python, R, and SQL. Experience with machine learning frameworks like TensorFlow or PyTorch.
Education:
Minimum Master's in Data Science and Compute Science - Graduate in recent years
Job Description:
a. Data Analysis: Analyze large datasets from manufacturing processes to derive actionable insights.
b. Predictive Modeling: Develop and implement predictive models to define process performance.
c. Collaboration: Work closely with cross-functional teams, including chemists, engineers, etc., to support data-driven decision-making.
d. Machine Learning: Apply machine learning algorithms to optimize process development and manufacturing processes.
e. Data Visualization: Create visualizations to communicate findings to stakeholders and support strategic planning.