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Trainee Full Stack Data Scientist Jobs in Florida

Prescient Edge

Full-Stack Data Engineer

Doral, FL · On-site

Bachelor's degree in computer science, Data Engineering, Geospatial Information Systems (GIS), or a related field, or five (5) years of equivalent experience in data engineering, full-stack ...

SOSi

Full Stack Data Engineer

Doral, FL · On-site

Bachelor's degree in Computer Science, Data Engineering, or a related field, or five (5) years of equivalent experience in full-stack development and data engineering. * Knowledge and capability to ...

B&A

Full-Stack Data Engineer (SOUTHCOM)

Doral, FL

A bachelor's degree in computer science, Data Engineering, or a related field -OR- A minimum of 5 years of equivalent experience in full-stack development and data engineering. Required Skills * Must ...

Celestar

Full-Stack Data Engineer (SOUTHCOM)

Doral, FL · On-site

A bachelor's degree in computer science, Data Engineering, or a related field -OR- A minimum of 5 years of equivalent experience in full-stack development and data engineering. Required Skills * Must ...

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Trainee Full Stack Data Scientist information

What is the difference between Trainee Full Stack Data Scientist vs Data Analyst?

AspectTrainee Full Stack Data ScientistData Analyst
Required SkillsBasic programming, data analysis, machine learning fundamentalsData visualization, statistical analysis, Excel proficiency
CertificationsEntry-level data science courses, certifications in Python or RExcel, SQL, Tableau certifications
Work EnvironmentCollaborative teams, project-based, tech-focusedBusiness units, reporting, data interpretation
Industry UsageTech, finance, healthcare, startupsRetail, marketing, finance, healthcare

The Trainee Full Stack Data Scientist is an entry-level role focusing on developing skills in programming, machine learning, and data modeling, often in tech-driven environments. In contrast, Data Analysts primarily focus on data visualization, reporting, and statistical analysis to support business decisions. While both roles require analytical skills, the Data Scientist role involves more technical and coding expertise, whereas Data Analysts focus on interpreting data for insights.

What are the most commonly searched types of Full Stack Data Scientist jobs in Florida? The most popular types of Full Stack Data Scientist jobs in Florida are:
What are popular job titles related to Trainee Full Stack Data Scientist jobs in Florida? For Trainee Full Stack Data Scientist jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Trainee Full Stack Data Scientist jobs in Florida look for? The top searched job categories for Trainee Full Stack Data Scientist jobs in Florida are:
What cities in Florida are hiring for Trainee Full Stack Data Scientist jobs? Cities in Florida with the most Trainee Full Stack Data Scientist job openings:
Trainee Full Stack Data Scientist jobs near you
Infographic showing various Trainee Full Stack Data Scientist job openings in Florida as of June 2026, with employment types broken down into 86% Full Time, and 14% Part Time. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Full-Stack Data Engineer

Ascension Federal Services Inc.

Miami, FL

Full-time

Re-posted 29 days ago

Job description

Full-Stack Data Engineer

Location: Miami, FL, 33101

CLEARANCE: TS/SCI
About the Role

We are seeking a highly skilled Full-Stack Data Engineer to join our dynamic team in Miami, FL. The ideal candidate will have a strong background in both backend and frontend data engineering, capable of designing, building, and maintaining scalable data pipelines and user-facing data applications. You will work closely with data scientists, analysts, and product teams to deliver robust data solutions that drive business insights and innovation.

Key Responsibilities
  • Design, develop, and maintain end-to-end data pipelines and ETL processes.
  • Build and optimize scalable data architectures and databases.
  • Develop interactive data visualization tools and dashboards to support data-driven decision making.
  • Collaborate with cross-functional teams to understand data requirements and deliver solutions.
  • Implement data quality checks, monitoring, and troubleshooting to ensure data integrity.
  • Work with cloud platforms and big data technologies to manage large datasets efficiently.
  • Write clean, maintainable, and well-documented code following best practices.
Qualifications
  • Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field.
  • 3+ years of experience in data engineering or full-stack development with a focus on data.
  • Proficiency in programming languages such as Python, Java, or Scala.
  • Experience with frontend technologies like React, Angular, or Vue.js for building data applications.
  • Strong knowledge of SQL and NoSQL databases.
  • Hands-on experience with cloud platforms (AWS, GCP, or Azure) and big data tools (Spark, Hadoop, Kafka).
  • Familiarity with containerization and orchestration tools such as Docker and Kubernetes.
  • Excellent problem-solving skills and ability to work in a fast-paced environment.
  • Strong communication skills and ability to collaborate effectively with diverse teams.
How to Apply

If you are passionate about data engineering and want to make an impact in a growing company, please submit your resume and cover letter to our HR team.

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