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Part Time Data Engineer Jobs in Texas (NOW HIRING)

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Data Capture Technician - Construction Sites (Turkey, TX) Turkey, TX | In-Person | $19.00/hour | 1 ... engineering, or college students looking for flexible part-time work are all encouraged to apply.

AI Developer

San Antonio, TX · On-site +1

$77K - $176K/yr

As an experienced AI engineer, you know that AI systems are critical to understanding and ... Experience building secure data foundations on enterprise cloud platforms such as AWS, governed ...

Senior Civil Engineer

Houston, TX · On-site

$123K - $178K/yr

Telework Type: Part-Time Telework * Work Location: Houston, TX, Chandler, AZ, Reston, VA * Salary ... based on market data; final salary offered is determined by education, experience, and ...

... Data Centers, and other Advanced Manufacturing projects. The ideal candidate may work under the ... Actual compensation for part-time roles will be pro-rated based on the agreed number of working ...

Showing results 41-60

Part Time Data Engineer information

See Texas salary details

$41.5K

$120.9K

$165.4K

How much do part time data engineer jobs pay per year?

As of Sep 5, 2026, the average yearly pay for part time data engineer in Texas is $120,851.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,700.00 and $128,100.00 per year, depending on experience, location, and employer.

What is a part time data engineer?

A Part-Time Data Engineer is responsible for designing, building, and maintaining data pipelines and databases on a reduced-hour basis. They work with structured and unstructured data to ensure efficient storage, retrieval, and processing, often collaborating with data analysts and scientists. This role is ideal for professionals seeking flexible work arrangements while still contributing to data infrastructure and analytics. Part-time data engineers may work as freelancers, consultants, or employees with reduced-hour contracts. Their responsibilities can vary based on company needs but typically involve ETL processes, cloud data management, and performance optimization.

What types of projects and responsibilities can I expect as a part time data engineer?

As a Part Time Data Engineer, you might work on projects such as developing and maintaining data pipelines, optimizing database performance, and preparing data for analytics and reporting. Responsibilities often include extracting, transforming, and loading (ETL) data, collaborating with data analysts and scientists, and troubleshooting data-related issues. You may also help implement data quality checks or participate in cloud migration initiatives. The scope of your work will typically be focused and project-based, making sure your contributions have a tangible impact within a flexible schedule.

What are the key skills and qualifications needed to thrive as a part time data engineer?

To thrive as a Part Time Data Engineer, you need strong programming skills (usually in Python, SQL, or Scala), a solid understanding of data warehousing concepts, and experience with ETL pipelines, typically supported by a relevant degree or equivalent experience. Familiarity with cloud platforms like AWS, Azure, or Google Cloud, and relevant certifications such as Google Professional Data Engineer or AWS Certified Data Analytics, are highly valued. Effective time management, problem-solving abilities, and clear communication are standout soft skills for this flexible role. These skills are crucial because they enable part-time data engineers to efficiently deliver reliable data solutions while collaborating across teams in dynamic work environments.

Are part time data engineers still in demand?

Part-time data engineers are still in demand as organizations seek flexible staffing for data management, analytics, and infrastructure projects. Skills in SQL, cloud platforms, and data pipeline tools remain valuable, and remote or flexible schedules are increasingly common in this field.

Can I work remotely as a part time data engineer?

Part time data engineers can often work remotely, especially if the employer supports telecommuting and the role involves tasks like data analysis, pipeline development, or database management that can be performed online. Remote work arrangements depend on company policies, project requirements, and the need for collaboration or on-site access to certain tools or data.

What are the most commonly searched types of Data Engineer jobs in Texas?

The most popular types of Data Engineer jobs in Texas are:

What are popular job titles related to Part Time Data Engineer jobs in Texas?

For Part Time Data Engineer jobs in Texas, the most frequently searched job titles are:

What cities in Texas are hiring for Part Time Data Engineer jobs?

Cities in Texas with the most Part Time Data Engineer job openings:

Infographic showing various Part Time Data Engineer job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $120,851 per year, or $58.1 per hour.

Field Application Engineer - Temporary (Part-time) Burlington, TX

FieldAI

Burlington, TX

$20 - $25/hr

Part-time

Posted 4 days ago


Job description

Job Title: Field Application Engineer - Temporary
Location: Burlington, TX, US - Frequent 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.
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 Burlington, TX 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. This is a fully onsite role, and candidates will be expected to work from our Mission Viejo, CA office. 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 and identifying potential inconsistencies or verification signals in application materials based on available information. 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.