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Part Time Data Engineer Jobs in Redmond, WA (NOW HIRING)

Shield AI

Electrical Engineer I (SEA) (R5046)

Seattle, WA · On-site

$97K - $146K/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. apply for ...

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All JobsData Engineer JobsPart Time Data Engineer JobsPart Time Data Engineer Jobs in Redmond, WA

Part Time Data Engineer information

See Redmond, WA salary details

$49.8K

$145.3K

$198.8K

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

As of Sep 7, 2026, the average yearly pay for part time data engineer in Redmond, WA is $145,276.00, according to ZipRecruiter salary data. Most workers in this role earn between $128,200.00 and $154,000.00 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 Redmond, WA?

The most popular types of Data Engineer jobs in Redmond, WA are:

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

The top searched job categories for Part Time Data Engineer jobs in Redmond, WA are:

What cities near Redmond, WA are hiring for Part Time Data Engineer jobs?

Cities near Redmond, WA 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 Redmond, WA 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 $145,276 per year, or $69.8 per hour.

Senior Staff Engineer, Communications Systems (R5623)

Shield AI

Seattle, WA

$170K - $260K/yr

Full-time, Part-time

Posted 13 days ago

Key responsibilities

  • Lead the development and integration of data links, encryption, and secure communication architectures into the aircraft platform.

  • Define system-level requirements and architectures for RF, SATCOM, optical, and software-defined radio (SDR) communication systems.

  • Validate performance through simulation, flight testing, and field deployments.

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 redefining autonomous aviation with cutting-edge AI and GPS/RF-denied navigation technologies. Now, we’re building a next-generation aircraft like no other—one that will push the boundaries of innovation and performance.
 
Shield AI is seeking a Communications Systems Engineer to lead the design, integration, and optimization of advanced communication systems for our next-generation autonomous aircraft.
 
This is a high-impact role where you will be responsible for mission-critical data links, encryption, and secure communications, ensuring seamless interoperability between airborne, sensor, ground, and satellite systems. You will work across sensor fusion, RF systems, SATCOM, and AI-driven data processing to deliver an aircraft capable of operating in contested environments with low latency and high reliability.
 
What you'll do:
  • Lead the development and integration of data links, encryption, and secure communication architectures into the aircraft platform.
  • Define system-level requirements and architectures for RF, SATCOM, optical, and software-defined radio (SDR) communication systems.
  • Optimize low-latency, high-bandwidth data transfer and encryption to ensure mission-critical performance.
  • Ensure seamless connectivity between the aircraft, command centers, and satellite networks, enhancing real-time data transmission and autonomy.
  • Develop AI-driven sensor fusion algorithms to enhance payload performance in high-threat environments.
  • Collaborate with avionics, software, and autonomy teams to ensure robust and secure system integration.
  • Validate performance through simulation, flight testing, and field deployments.
  • Work with DoD stakeholders and compliance teams to ensure mission readiness and adherence to cybersecurity standards
Required qualifications:
  • Bachelor’s or Master’s degree in Electrical Engineering, Aerospace Engineering, or related field.
  • 8+ years of experience in RF communications or mission systems integration for UAVs or military aircraft.
  • Strong expertise in RF systems, satellite communications (SATCOM), tactical data links (Link-16, CDL), and sensor integration.
  • Proficiency in software-defined radio (SDR) technologies and secure, encrypted data transmission.
  • Experience writing specifications for communications subsystems and architectures.
  • Knowledge of MIL-STD-1553, ARINC 429, and other aerospace data bus standards.
  • Experience working with classified communication protocols and DoD compliance.
  • Active Secret clearance.
  • Ability to obtain a S//SAR level security clearance desired.
Preferred Qualifications:
  • Experience working with AI-enhanced signal processing and sensor fusion for ISR missions.
  • Background in low-observable (stealth) communications architectures.
  • Familiarity with electronic warfare (EW) and RF threat mitigation techniques.
  • Experience supporting DoD or intelligence community mission operations.
  • Active Top Secret clearance or eligible to achieve, as well as SCI eligible.
Compensation for this role is based on the position’s work location. The salary range shown reflects the listed location and may vary if the position is based in a different geographic market. Actual compensation will also consider factors such as experience, skills, qualifications, and internal equity. 
 
Seattle, Washington pay range: $210,000 - $320,000
#LI-SM1
#LF

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.