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

Shield AI

Electrical Engineer I (TX)

Dallas, TX · On-site

$81K - $122K/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

Senior Engineer, Software Test (R4878)

Dallas, TX · On-site

$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

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

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.

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Showing results 41-60

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

Part Time Data Engineer information

See Irving, TX salary details

$42.7K

$124.6K

$170.4K

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

As of Sep 2, 2026, the average yearly pay for part time data engineer in Irving, TX is $124,560.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,900.00 and $132,000.00 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 Irving, TX?

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

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

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

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

Cities near Irving, 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 Irving, TX as of August 2026, with employment types broken down into 100% Part Time. Highlights an 100% In-person job distribution, with an average salary of $124,559 per year, or $59.9 per hour.

Staff Engineer, Composite Advance Manufacturing

Shield AI

Dallas, TX • On-site

$72K - $93K/yr

Full-time, Part-time

This job post has expired today. Applications are no longer accepted.

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. 

Job Description:
As a Staff Composites Manufacturing Engineer, you’ll take ownership of critical manufacturing processes across multiple programs, leading initiatives to increase throughput, reduce costs, and scale our operations. You’ll be instrumental in building out the infrastructure for a new production line supporting a next-generation jet, including selecting and deploying capital equipment, implementing hardware and software tools, and establishing robust production systems. Working across engineering, supply chain, and production, you’ll ensure smooth integration of new technologies and provide mentorship to other engineers. This role is ideal for someone who thrives on cross-functional impact, technical leadership, and factory-scale execution. 
What You'll Do:
  • Act as a technical leader across programs, owning the design and optimization of high-impact manufacturing processes. 
  • Drive the scale-up of our flagship product line, balancing throughput, quality, and cost. 
  • Lead the manufacturing engineering effort for launching a new production line for a larger and more capable jet. 
  • Develop CPD/Fibersim definitions & producibility assessments for composite parts.
  • Scope and deploy critical production infrastructure, including manufacturing equipment, tooling, and hardware/software systems. 
  • Engage with vendors to source and integrate capital equipment, production tools, and automation systems. 
  • Mentor engineers and production personnel to build organizational capability and technical depth. 
  • Champion cross-functional initiatives that standardize and improve manufacturing performance at scale. 
Required Qualifications:
  • Bachelor’s degree in  Engineering, or a related field, or relevant experience.
  • 7+ years of experience in manufacturing engineering, with a focus in rapid growth environments.
  • Proficiency in CAD software (Solidwork, NX, or CATIA).
  • Experience with Composite Part Design (CPD), or Fibersim, and Generative Shape Design (GSD).
  • Experience in owning the scale of production processes in a startup or rapid-growth environment.
  • Strong understanding of manufacturing composites processes, including machining, lamination, and/or assembly.
  • Experience with process improvement methodologies, such as Lean Manufacturing or Six Sigma.
  • Demonstrated ability to work in a fast-paced, high-pressure environment and adapt to changing priorities.
Preferred Qualifications:
  • Knowledge of quality standards, such as AS9100 or ISO 9001.
  • Familiarity with advanced manufacturing technologies, such as additive manufacturing or automation systems.
  • Knowledge of ERP/MRP systems and data-driven decision-making in a manufacturing context.
  • Hands-on experience with manufacturing equipment and tooling design.
  • Strong project management skills, including experience managing multiple priorities and deadlines.
#LI-JM1
#LD

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.