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

Senior Component Engineer

Dallas, TX ยท On-site

$140K - $210K/yr

Own component data and governance in PLM (part creation, attributes, AML/AVL, lifecycle states ... Military fellows and part-time employees are not eligible for benefits. Please speak to your talent ...

Analyze measurement and process capability data to improve repeatability, product quality, and ... Military fellows and part-time employees are not eligible for benefits. Please speak to your talent ...

Staff Engineer, DevOps (5431)

Dallas, TX

$52.25 - $71.50/hr

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.

Transportation Engineer in Training

Plano, TX ยท On-site

$69K - $91K/yr

Perform field work to collect data or observe projects under construction Education and Experience ... Actual compensation for part-time roles will be pro-rated based on the agreed number of working ...

Staff Engineer, System Reliability (R5533)

Dallas, TX ยท On-site

$101K - $127K/yr

Demonstrated ability to build reliability models from field and test data and translate them into ... Military fellows and part-time employees are not eligible for benefits. Please speak to your talent ...

Senior Aerospace Engineer (R5732)

Dallas, TX ยท On-site

$103K - $142K/yr

Analyze large flight and test data sets to establish and refine operational envelope requirements ... Military fellows and part-time employees are not eligible for benefits. Please speak to your talent ...

Electrical Engineer I (TX)

Dallas, TX ยท 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.

Showing results 21-40

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:

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.

Propulsion Engineer, Fleet Support (R5005)

Shield AI

Dallas, TX โ€ข On-site

Full-time, Part-time

Re-posted 16 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. 

Job Description:

Shield AI is seeking a Senior Propulsion Engineer to serve as the propulsion SME for the V-BAT Fleet Support team. In this role, you will be the customer-facing engineering lead for escalated propulsion issues across the fielded fleet. You will act as the bridge between Fleet Support and the core propulsion, vehicle, manufacturing, and quality engineering teams to diagnose issues, drive root cause, and improve fleet reliability.

This role is ideal for an engineer who combines strong propulsion fundamentals with practical field troubleshooting experience and a customer-first mindset.

What you'll do:
  • Serve as the propulsion SME for Fleet Support and the primary engineering point of contact for propulsion-related escalations.
  • Diagnose and resolve engine performance issues, including hard starts, unstable operation, power loss, thermal excursions, endurance degradation, and intermittent behavior.
  • Troubleshoot engine mechanical and hardware issues, including vibration, wear, leaks, mounting or interface issues, actuator concerns, and component failures.
  • Investigate fuel and oil system issues, including pressure, flow, filtration, contamination, venting, priming, lubrication, and thermal-management problems.
  • Analyze flight data, maintenance records, teardown findings, and field reports to identify failure modes and define corrective actions.
  • Develop troubleshooting procedures, inspection criteria, repair guidance, and return-to-service recommendations for Fleet Support personnel and customers.
  • Partner with propulsion, air vehicle, quality, manufacturing, and supplier teams to drive permanent corrective actions and reliability improvements.
  • Capture recurring fleet issues and translate them into engineering recommendations, service actions, and long-term design improvements.
Required qualifications:
  • Bachelor’s degree in Mechanical Engineering, Aerospace Engineering, or a related discipline.
  • 6+ years of experience in aircraft, rotorcraft, unmanned aircraft system, or propulsion engineering.
  • Strong hands-on experience with engine systems, fuel systems, oil systems, thermal behavior, vibration, and mechanical root-cause analysis.
  • Experience troubleshooting fielded hardware and working from ambiguous or incomplete failure reports.
  • Ability to analyze technical data from flight, test, maintenance, and inspection activities.
  • Strong written and verbal communication skills in cross-functional and customer-facing environments.
  • Ability to possess a Secret DoD security clearance as required by customers 
Preferred qualifications:
  • Experience with heavy-fuel or small-aircraft propulsion systems.
  • Experience supporting deployed, expeditionary, or maritime systems.
  • Experience with corrective action processes, reliability improvement, or supplier-quality coordination.
  • Comfort working in fast-paced field environments and supporting customer-site troubleshooting.
#LI-JM1
#LC

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.