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Part Time Data Engineering Jobs in Frisco, TX (NOW HIRING)

Shield AI

Staff Engineer, Quality (R5512)

Dallas, TX

$120K - $180K/yr

You will partner closely with engineering, manufacturing, and supplier teams to identify risks ... Experience working with quality and manufacturing systems (QMS, MES, PLM) and data analysis tools

Shield AI

Staff Engineer, DevOps (5431)

Dallas, TX · On-site

$150K - $220K/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

Sr Metrology Engineer (R4960)

Dallas, TX · On-site

$101K - $151K/yr

Join a high-impact quality engineering team supporting the development and production of next ... Analyze measurement and process capability data to improve repeatability, product quality, and ...

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All JobsData Engineering JobsPart Time Data Engineering JobsPart Time Data Engineering Jobs in Frisco, TX

Part Time Data Engineering information

See Frisco, TX salary details

$41.6K

$121.4K

$166.1K

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

As of Sep 5, 2026, the average yearly pay for part time data engineering in Frisco, TX is $121,406.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,200.00 and $128,700.00 per year, depending on experience, location, and employer.

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.

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 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.

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.

Are part time data engineers still in demand?

Part-time data engineers are still in demand as organizations seek flexible staffing for data pipeline development, maintenance, and analytics projects. Skills in SQL, Python, cloud platforms, and data tools remain valuable, and remote or flexible roles are increasingly available in the industry.

Can I work remotely as a part time data engineer?

Part time data engineering roles can often be performed remotely, especially when the work involves tasks like data pipeline development, database management, and cloud-based tools. Employers may require familiarity with tools such as SQL, Python, and cloud platforms, and remote work arrangements depend on the company's policies and project needs.

What are the most commonly searched types of Data Engineering jobs in Frisco, TX?

The most popular types of Data Engineering jobs in Frisco, TX are:

What are popular job titles related to Part Time Data Engineering jobs in Frisco, TX?

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

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

The top searched job categories for Part Time Data Engineering jobs in Frisco, TX are:

What cities near Frisco, TX are hiring for Part Time Data Engineering jobs?

Cities near Frisco, TX with the most Part Time Data Engineering job openings:

Part Time Data Engineering jobs near you
Infographic showing various Part Time Data Engineering job openings in Frisco, TX as of August 2026, with employment types broken down into 100% Part Time. Highlights an 74% In-person, and 26% Remote job distribution, with an average salary of $121,406 per year, or $58.4 per hour.

Staff Engineer, Field Quality (R4958)

Shield AI

Dallas, TX

$120K - $180K/yr

Full-time, Part-time

Re-posted 24 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:

Join a high-impact quality engineering team supporting next-generation autonomous systems deployed in demanding operational environments. This role works closely with engineering, manufacturing, test, and field operations teams to identify product quality issues, drive root cause investigations, and improve system reliability across the product lifecycle. You will serve as a key link between field performance and engineering execution by translating operational issues into measurable product improvements.

We are seeking a Field Quality Engineer with experience supporting complex hardware systems in aerospace, defense, robotics, or related industries, including failure analysis, corrective actions, reliability tracking, and cross-functional problem solving.

What you'll do:
  • Investigate field-reported issues and drive root cause analysis across hardware, software, and integrated systems
  • Partner with engineering, manufacturing, and test teams to implement corrective and preventive actions (CAPA)
  • Analyze reliability and performance trends to identify systemic quality issues and improve product robustness
  • Support validation, troubleshooting, and failure reproduction efforts for fielded systems
  • Develop quality metrics, reporting, and tracking tools to improve visibility into field performance and defect trends
  • Coordinate issue resolution across cross-functional teams while ensuring timely communication and closure
Required qualifications:
  • 5+ years of experience in quality engineering, field engineering, systems integration, manufacturing quality, or related technical roles
  • Strong experience with root cause analysis, failure investigation, and corrective action implementation in complex hardware environments
  • Ability to diagnose system-level issues across mechanical, electrical, and software interfaces
  • Experience analyzing reliability data, defect trends, and operational performance metrics
  • Strong communication and organizational skills with the ability to coordinate across engineering and operations teams
  • Demonstrated ability to manage multiple priorities in fast-paced development and operational environments
Preferred qualifications:
  • Experience supporting aerospace, defense, robotics, or autonomous systems programs
  • Familiarity with AS9100, ISO 9001, or regulated engineering environments
  • Experience with environmental testing, system validation, or field operations support
  • Experience using data analysis and reporting tools such as Python, SQL, Jira, Power BI, or Tableau
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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.