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Full Stack Data Engineer Jobs in Palm Harbor, FL

Full Stack Engineer

Saint Petersburg, FL ยท On-site +1

$75K - $100K/yr

Exploring new ways to visualize qualitative data with a quantitative lens that could help ... At least 3 years of professional experience shipping features or products as a full-stack developer.

Senior Full-Stack Engineer

Tampa, FL ยท On-site

$107 - $147/hr

Full-Stack Delivery:** Build end-to-end features spanning server-side rendering, API integration ... Implement sensitive data display, client-side logging, and session handling in accordance with ...

Full-Stack Delivery:** Build end-to-end features spanning server-side rendering, API integration ... Implement sensitive data display, client-side logging, and session handling in accordance with ...

Full-Stack Delivery:** Build end-to-end features spanning server-side rendering, API integration ... Implement sensitive data display, client-side logging, and session handling in accordance with ...

Full Stack Java & React Engineer

Tampa, FL ยท On-site

$96.96 - $145.44/hr

We are looking for experienced full-stack software engineers who are passionate about solving ... Clear understanding of Data Structures and Object Oriented Principles using Java * Practical ...

We are looking for experienced full-stack software engineers who are passionate about solving ... Clear understanding of Data Structures and Object Oriented Principles using Java Practical ...

Leidos is seeking an experienced Senior Full Stack Application Developer located in Tampa, FL ... Integrate with DoD financial management systems and ensure data compliance with government ...

Senior Full Stack Application Developer

Tampa, FL ยท On-site +1

$107K - $195K/yr

Leidos is seeking an experienced Senior Full Stack Application Developer located in Tampa, FL ... Integrate with DoD financial management systems and ensure data compliance with government ...

Senior Full Stack .NET Developer

Tampa, FL ยท On-site

$150K - $175K/yr

Senior Full Stack .NET Developer Remote | $150,000 $175,000 Annually We are seeking a highly ... Design, develop, and maintain scalable applications and services for our marketing, data processing ...

Senior Full Stack .NET Developer

Tampa, FL ยท Remote

$150K - $175K/yr

Senior Full Stack .NET Developer Remote | $150,000-$175,000 Annually We are seeking a highly ... Design, develop, and maintain scalable applications and services for our marketing, data processing ...

Software Engineer - Full Stack

Tampa, FL ยท On-site

$110 - $165/hr

We combine innovative technology, data-driven strategies, and a high-performance team to deliver ... The Role We're looking for a Full Stack Software Engineer to design, build, and maintain scalable ...

Showing results 41-60

Full Stack Data Engineer information

See Palm Harbor, FL salary details

$39.2K

$118.7K

$167.8K

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

As of Sep 7, 2026, the average yearly pay for full stack data engineer in Palm Harbor, FL is $118,681.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,700.00 and $139,100.00 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 Palm Harbor, FL?

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

What job categories do people searching Full Stack Data Engineer jobs in Palm Harbor, FL look for?

The top searched job categories for Full Stack Data Engineer jobs in Palm Harbor, FL are:

What cities near Palm Harbor, FL are hiring for Full Stack Data Engineer jobs?

Cities near Palm Harbor, FL with the most Full Stack Data Engineer job openings:

Infographic showing various Full Stack Data Engineer job openings in Palm Harbor, FL as of June 2026, with employment types broken down into 94% Full Time, 2% Part Time, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $118,681 per year, or $57.1 per hour.

Full Stack Engineer

Notably

Saint Petersburg, FL โ€ข On-site, Remote

$75K - $100K/yr

Full-time

PTO

Re-posted 28 days ago


Job description

Notably is growing our team of people on a mission to make research a part of everyday work. We help teams collect, analyze, and share qualitative research.
Notably is an inclusive and supportive team that trusts and respects each other. We bring our whole selves to work and celebrate what makes us unique. We're an early-stage startup with a high bar for excellence & productivity, but we leave ego, competitiveness, and hustle culture at the door. We believe in creating a calm and inviting workplace culture so that we can all thrive and do our best work and still have plenty of time to refuel our energy.
Some projects you could work on:
  • The split-screen infinite canvas and table workspace in Notably where researchers analyze qualitative data.
  • Enhancing the canvas experience with new tools and collaboration.
  • Exploring new ways to visualize qualitative data with a quantitative lens that could help researchers make meaning out of the mess.
  • Combining machine learning and AI with research frameworks and best practices to create an experience that will super power our researchers.
  • Solving for performance and memory optimizations- we want to keep pushing the limits of what's possible while maintaining high performance.
  • Improving core features like search, transcriptions, content management, and more.
We'd love to hear from you if you have:
  • At least 3 years of professional experience shipping features or products as a full-stack developer.
  • Demonstrated fluency with the following:
    • Typescript, React, GraphQL, and Node.
  • Experience with automated testing frameworks and TDD in Javascript.
  • Experience with the following is a plus:
    • Familiarity with Postgres, AWS.
    • Experience building real-time collaboration tools
    • Experience using HTML canvas
    • Background in AI, NLP, or data science.
  • Proactive and strong verbal and written communication skills.
  • A desire to work in a startup: high impact and experimental.
  • An interest in mentorship, learning from others, and digging into new challenges.
  • A collaborative vision of the product process. Every member of our team is involved from ideation to implementation.
  • A healthy skepticism and curiosity. Comfortable saying "I don't know" and participating in research calls with users.
Our hiring process:
The end-to-end hiring process will take a couple of weeks and includes:
  • An initial call with our CPO and founder.
  • A virtual interview with your future teammates.
  • A paid take-home project (that could be completed in a day) and practical technical screen with our engineering team.

If you're excited about this role but your past experience doesn't align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
Timezone requirements:
This is a fully remote position, however, candidates must either be based out of Europe (our technical lead is in Georgia) or in the Eastern timezone in US. Candidates who don't match this preference will not be considered for this role.
Pay & benefits:
  • Competitive salary & equity
  • Remote-first
  • Generous PTO
  • Learning & development stipend
  • Work from home stipend
  • Company on-sites
About Notably:
Notably was founded by Brittany Fuller and Allison Marshall in 2021 after both having experienced in their careers as aproduct manager and a product designer, a lack of solutions that aligned with the methodologies commonly used for research analysis and synthesis. They saw an opportunity to innovate in this space and solve a timeless problem: making sense out of conversational data. Today, Notably helps teams collect, analyze, and share qualitative research.