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Full Stack Data Engineer Jobs in Florida (NOW HIRING)

Prescient Edge

Full-Stack Data Engineer

Doral, FL · On-site

Job Title Full-Stack Data Engineer Location Doral, FL 33122 US (Primary) Category Intelligence Job Type Full-Time Career Level Staff Education Bachelor's Degree Travel Security Clearance Required TS ...

Base-2 Solutions, LLC

Data Engineer

Miami, FL · On-site

$109K - $131K/yr

Develop and deploy full-stack applications enabling data visualization, dashboarding, and analytics ... Bachelor's degree in Computer Science, Data Engineering, or a related field OR a minimum of 5 years ...

Base-2 Solutions, LLC

Data Engineer

Doral, FL · On-site

$105K - $127K/yr

Develop and deploy full-stack applications enabling data visualization, dashboarding, and analytics ... Bachelor's degree in Computer Science, Data Engineering, or a related field OR a minimum of 5 years ...

MDG Solutions

Full Stack Engineer

Boca Raton, FL · On-site

We are looking for a Full Stack Software Engineer who builds for the web end to end and owns what ... and data integrity. * Write and maintain automated tests, conduct code reviews, and help keep ...

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All JobsFull Stack Data Engineer JobsFull Stack Data Engineer Jobs in Florida

Full Stack Data Engineer information

See Florida salary details

$33.3K

$100.7K

$142.4K

How much do full stack data engineer jobs pay per year?

As of Sep 11, 2026, the average yearly pay for full stack data engineer in Florida is $100,713.00, according to ZipRecruiter salary data. Most workers in this role earn between $82,900.00 and $118,100.00 per year, depending on experience, location, and employer.

What is a full stack data engineer?

A Full Stack Data Engineer is a professional who designs, builds, and maintains the entire data pipeline, from data collection and storage to processing and visualization. They work with both the backend infrastructure (such as databases, data warehouses, and ETL processes) and frontend tools (like dashboards or reporting systems) to ensure data is accessible and usable for analytics. Full Stack Data Engineers possess skills in programming, database management, data modeling, cloud platforms, and often data visualization, allowing them to manage every stage of data flow within an organization.

How does a full stack data engineer typically balance responsibilities between backend data infrastructure and frontend data presentation tasks?

Full Stack Data Engineers are often required to split their time between developing robust backend data pipelines and creating user-facing tools or dashboards that visualize data insights. This dual responsibility means you'll need to prioritize tasks based on project needs, effectively collaborating with data scientists, analysts, and frontend developers. Communication is key, as you'll bridge gaps between technical teams and business stakeholders, ensuring data flows seamlessly from source systems to end users. Over time, many engineers find opportunities to specialize further or move into leadership roles overseeing data architecture and team strategy.

What are the key skills and qualifications needed to thrive as a full stack data engineer, and why are they important?

To thrive as a Full Stack Data Engineer, you need strong expertise in data modeling, ETL processes, and proficiency in both backend (e.g., Python, Java) and frontend (e.g., JavaScript, React) development, often supported by a degree in computer science or a related field. Familiarity with cloud platforms (such as AWS or Azure), big data tools (like Spark or Hadoop), and database systems (SQL and NoSQL) is typically required, and certifications in these technologies are advantageous. Excellent problem-solving, communication, and collaboration skills help you bridge gaps between data, development, and business teams. These skills ensure you can design, build, and maintain scalable data solutions that meet organizational needs efficiently.

What is the difference between Full Stack Data Engineer vs Data Scientist?

AspectFull Stack Data EngineerData Scientist
CredentialsBachelor's/Master's in CS, Data Engineering certificationsBachelor's/Master's in CS, Data Science or related fields
Work EnvironmentBuild data pipelines, manage databases, develop APIsAnalyze data, create models, generate insights
Industry UsageTech, finance, healthcare, where data infrastructure is keyResearch, analytics, product development teams

Full Stack Data Engineers focus on building and maintaining data infrastructure, integrating data from various sources, and ensuring data availability. Data Scientists analyze data, develop models, and generate insights. While both roles require strong technical skills, Full Stack Data Engineers are more involved in data pipeline development, whereas Data Scientists focus on data analysis and modeling.

What are popular job titles related to Full Stack Data Engineer jobs in Florida?

For Full Stack Data Engineer jobs in Florida, the most frequently searched job titles are:

What job categories do people searching Full Stack Data Engineer jobs in Florida look for?

The top searched job categories for Full Stack Data Engineer jobs in Florida are:

What cities in Florida are hiring for Full Stack Data Engineer jobs?

Cities in Florida with the most Full Stack Data Engineer job openings:

Full Stack Data Engineer jobs near you
Infographic showing various Full Stack Data Engineer job openings in Florida as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $100,713 per year, or $48.4 per hour.

Full-Stack Data Engineer

Miami, FL

Ascension Federal Services Inc.
See more jobs at Ascension Federal Services Inc.external

Full-time

Re-posted 3 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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