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Part Time Data Engineering Jobs in Florida (NOW HIRING)

Technical Instructor

Doral, FL · On-site

$69.30K - $158K/yr

Knowledge of data engineering, geospatial analysis, and open-source intelligence (OSINT ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Ontologist

Doral, FL · On-site

$99K - $225K/yr

... programming languages for data analysis * Experience with Java and Python for ontology-driven ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Teach the KidStrong curriculum as provided by the HQ programming team * Must be able to ensure ... Effectively use the KS Coach's App to record class data and provide records of data for parents ...

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Part Time Data Engineering information

What are the key skills and qualifications needed to thrive as a Part Time Data Engineer, and why are they important?

To thrive as a Part Time Data Engineer, you need proficiency in programming languages like Python or SQL, knowledge of database management, and a degree in computer science or a related field. Familiarity with data warehousing tools, ETL processes, and platforms such as AWS, Google Cloud, or Apache Spark is typically required. Strong problem-solving abilities, attention to detail, and effective communication help individuals excel in this flexible role. These skills ensure accurate data pipelines, efficient data processing, and successful collaboration with cross-functional teams, even in a part-time capacity.

How does a part-time data engineering role typically balance project responsibilities with limited working hours?

In a part-time data engineering position, tasks are often scoped to fit within your available hours, focusing on specific projects or maintenance work rather than broader, ongoing initiatives. You’ll likely collaborate closely with full-time engineers to ensure hand-offs are smooth and that you’re aligned on priorities. Clear communication and proactive time management are essential, as you may need to coordinate across teams or adjust your workload to meet deadlines. Many organizations also provide flexible scheduling and clear documentation practices to help part-time team members stay integrated and productive.

What is a part-time data engineering job?

A part-time data engineering job involves working fewer hours than a full-time position, typically focusing on building and managing data pipelines, organizing data storage, and ensuring data quality for organizations. Part-time data engineers may work on specific projects or provide support to larger teams, often with flexible schedules. They use programming languages and tools like Python, SQL, and cloud platforms to move, transform, and optimize data. This role is ideal for those seeking work-life balance, students, or professionals looking to gain experience or supplement their income.

What is the difference between Part Time Data Engineering vs Part Time Data Analysis?

AspectPart Time Data EngineeringPart Time Data Analysis
Required CredentialsTypically requires knowledge of SQL, Python, ETL tools, and cloud platformsRequires skills in SQL, Excel, data visualization tools, and basic statistical knowledge
Work EnvironmentOften involves building data pipelines, managing databases, and working with data infrastructureFocuses on interpreting data, creating reports, and providing insights
Employer & Industry UsageUsed in tech companies, finance, and e-commerce for data infrastructure rolesCommon in marketing, consulting, and business intelligence roles across industries

Part Time Data Engineering involves developing and maintaining data pipelines and infrastructure, requiring technical skills in programming and cloud platforms. In contrast, Part Time Data Analysis centers on interpreting data, creating reports, and providing insights, often using visualization tools. Both roles are essential in data-driven organizations but differ in technical complexity and focus.

What are the most commonly searched types of Data Engineering jobs in Florida? The most popular types of Data Engineering jobs in Florida are:
What cities in Florida are hiring for Part Time Data Engineering jobs? Cities in Florida with the most Part Time Data Engineering job openings:
Infographic showing various Part Time Data Engineering job openings in Florida as of May 2026, with employment types broken down into 100% Part Time. Highlights an 100% In-person job distribution.

Field Application Engineer - Temporary (Part-time) Jacksonville, FL

FieldAI

Jacksonville, FL

$20 - $25/hr

Part-time

Posted 20 days ago


Job description

Job Title: Field Application Engineer - Temporary
Location: Jacksonville, FL, US
Frequent Nationwide Travel Required
Job Type: Part-time, 20 hours + per week,
Prefer Local Candidates
 
 
 
Who are We?
 
Field AI is transforming how robots interact with the real world. We are building risk-aware, dependable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence. We go beyond typical data-driven approaches or pure transformer-based architectures, and are charting a new course, with already-globally-deployed solutions delivering real-world results and rapidly improving models through real-field applications.
 
Learn more at https://fieldai.com.
$20 - $25 an hour
About the Job
 
We are looking for a proactive and tech-savvy Part time Field Application Engineer  to support the deployment, testing, and client-facing operations of our cutting-edge robotic systems-including drones, quadrupeds, and humanoid robots. This role is ideal for recent graduates who thrive in both technical and operational environments and are ready to travel to project sites around the U.S.
 
You will be based out of our Jacksonville, FL location but must be prepared for regular travel. An up-to-date passport and REAL ID (or equivalent documentation) are preferred and may be required for travel and site access.
 
What You'll Get To Do:
 
     Deploy and operate robotic systems in the field, support testing and data collection.
     Supervise remote operations and assist during client presentations and demos.
     Facilitate smooth, clear communication between engineers and non-technical stakeholders.
     Document technical issues, test results, and client feedback in detail.
     Troubleshoot hardware and software issues and contribute to continuous workflow improvement.
     Collaborate with cross-functional teams to iterate on system performance and usability.
 
What You Have:
 
     Bachelor's degree in Computer Science, Robotics, Electrical Engineering, Mechatronics, or a related technical field.
     Strong communication skills-able to translate complex technical topics for various audiences.
     Willingness to travel frequently across the country.
     Up-to-date passport and valid REAL ID (or equivalent travel documentation) is preferred.
     Excellent organizational skills and the ability to work well in team-based environments.
 
 
The Extras That Set You Apart:
 
     Hands-on experience with robotics hardware (drones, quadrupeds, humanoids, or similar).
     Familiarity with basic electronics, sensors, and robotic subsystems.
     Basic coding/scripting skills (Python, C++, or similar).
     Prior experience in field testing, remote operations, or client-facing tech roles is a plus.
Compensation
The salary range for this role is dependent upon experience. The actual offer for this position will be based on factors such as relevant experience, competencies, certifications, and how well the candidate meets the qualifications outlined above. Part of our compensation package also includes full benefits, equity, and generous time.
 
Field AI Onsite Work Philosophy
At Field AI, we believe the most effective way to collaborate and solve complex challenges is by working together in person. In-person engagement is essential to our success, and we offer flexible working hours to support focus and work-life balance.
 
We are dedicated to fostering a diverse and inclusive workplace and encouraging applicants from all backgrounds to apply.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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