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Part Time Data Engineer Jobs in Dallas, TX (NOW HIRING)

Shield AI

Senior Engineer, Software Test (R4878)

Dallas, TX

$109K - $142K/yr

Analyze test data * Collaborate cross-functionally with engineering, manufacturing, and program ... Military fellows and part-time employees are not eligible for benefits. Please speak to your talent ...

Shield AI

Staff Electrical Engineer

Dallas, TX · On-site

Military fellows and part-time employees are not eligible for benefits. Please speak to your talent ... If you would like more information about how your data is processed, please contact us.

Shield AI

Senior Electrical Engineer

Dallas, TX · On-site

$106K - $138K/yr

Military fellows and part-time employees are not eligible for benefits. Please speak to your talent ... If you would like more information about how your data is processed, please contact us.

Shield AI

Engineer II, Electrical (R5111)

Dallas, TX · On-site

Military fellows and part-time employees are not eligible for benefits. Please speak to your talent ... If you would like more information about how your data is processed, please contact us.

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All JobsData Engineer JobsPart Time Data Engineer JobsPart Time Data Engineer Jobs in Dallas, TX

Part Time Data Engineer information

See Dallas, TX salary details

$44K

$128.4K

$175.7K

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

As of Sep 1, 2026, the average yearly pay for part time data engineer in Dallas, TX is $128,374.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,300.00 and $136,100.00 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 Dallas, TX?

The most popular types of Data Engineer jobs in Dallas, TX are:

What are popular job titles related to Part Time Data Engineer jobs in Dallas, TX?

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

What job categories do people searching Part Time Data Engineer jobs in Dallas, TX look for?

The top searched job categories for Part Time Data Engineer jobs in Dallas, TX are:

What cities near Dallas, TX are hiring for Part Time Data Engineer jobs?

Cities near Dallas, TX with the most Part Time Data Engineer job openings:

Part Time Data Engineer jobs near you
Infographic showing various Part Time Data Engineer job openings in Dallas, TX as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $128,374 per year, or $61.7 per hour.

Chief Engineer, Autonomy (R4614)

Shield AI

Dallas, TX

Full-time, Part-time

Re-posted 21 days ago

Job description

Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. 

The Chief Engineer at Shield AI is responsible for solving complex technical challenges in deploying advanced autonomy solutions on Unmanned Aircraft Systems (UAS).
 
As the chief authority on system architecture, design, development, risk mitigation, and product quality the Chief Engineer ensures the successful integration of Hivemind Autonomy across a range of aircraft, from small UAS to large autonomous collaborative platforms.
 
This role is part of the Hivemind Solutions organization and leads a team of engineers to deliver cutting-edge autonomous capabilities for business-to-business and defense contracts. The ideal candidate has defense industry experience as a Chief Engineer and a proven track record of leading technical teams to develop and deploy autonomous systems.
WHAT YOU'LL DO:
  • Serve as the Chief Engineer on Shield AI projects focused on developing and deploying autonomy solutions for unmanned aircraft
  • Lead a team responsible for advancing Hivemind Autonomy and shaping Department of Defense (DoD) autonomy architectures.
  • Define and assign technical objectives, make key engineering decisions, and ensure the quality and completeness of all technical deliverables
  • Provide technical leadership and oversight across both Internal Research and Development (IRAD) initiatives and DoD contracts.
REQUIRED QUALIFICATIONS:
  • BS/MS in Computer Science, Electrical Engineering, Mechanical/Aerospace Engineering, and/or similar degree
  • 10+ years of industry experience in autonomy and/or UAS platforms (e.g., defense tech, self-driving car, etc.)
  • 7+ years of delivering software into production/certifiable environments with high-reliability
  • Understanding of guidance, control and navigation (GNC) (e.g. controls, estimation, planning)
  • Understanding of robotics stack (e.g., controls, estimation, perception, planning, etc.)
  • Understanding of software development processes and how to effectively deploy software
  • Experience defining technical scope and managing technical requirements, product architectures, ICDs and other system level design documentation
  • Demonstrate problem solving skills by applying a scientific technical approach
  • Customer-facing engineering leader supporting both defense and internally funded development programs
  • Contribute to government contract proposal writing
  • Excellent communication skills, both written and verbal
  • Excellent leadership skills, driving a team of 6-20 engineers
#LI-DM1
#LE
Full-time regular employee offer package:
Pay within range listed + Bonus + Benefits + Equity
 
Temporary employee offer package:
Pay within range listed above + temporary benefits package (applicable after 60 days of employment)
 
Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information.
 
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Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. 

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.