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Part Time Data Engineer Jobs in Boston, MA (NOW HIRING)

Courses include application engineering and development, engineering big-data systems, and engineering secure software systems. MS in Information Systems Bridge is focused for students with non-STEM ...

Part-Time BCBA

Wilmington, MA · On-site

$70 - $84/hr

Person-centered care and assent-based treatment programming * Support from multiple specialty teams ... Analyze data/behavior and makes data-based decisions * Guide ongoing implementation of teaching ...

Part-Time BCBA

Wilmington, MA

$80K - $98K/yr

Person-centered care and assent-based treatment programming * Support from multiple specialty teams ... Analyze data/behavior and makes data-based decisions * Guide ongoing implementation of teaching ...

Part-Time BCBA

Wilmington, MA

$80K - $98K/yr

Person-centered care and assent-based treatment programming * Support from multiple specialty teams ... Analyze data/behavior and makes data-based decisions * Guide ongoing implementation of teaching ...

Type Employee Full Time/Part Time Full Time Overview As one of the world's leading analytical ... Maintains and updates customer data in SAP. * Assists in tasks related to ISO. * Ensures customer ...

Type Employee Full Time/Part Time Full Time Overview As one of the world's leading analytical ... Maintains and updates customer data in SAP. * Assists in tasks related to ISO. * Ensures customer ...

Title Field Service Engineer

Boston, MA · On-site

$85K - $137K/yr

Postal Code 2110 Type Employee Full Time/Part Time Full Time Overview As one of the world's leading ... Excellent verbal, written, MS Office, computer, technical data, communication and presentation ...

Showing results 41-60

Part Time Data Engineer information

See Boston, MA salary details

$48.3K

$140.9K

$192.8K

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

As of Sep 5, 2026, the average yearly pay for part time data engineer in Boston, MA is $140,924.00, according to ZipRecruiter salary data. Most workers in this role earn between $124,400.00 and $149,400.00 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 Boston, MA?

The most popular types of Data Engineer jobs in Boston, MA are:

What are popular job titles related to Part Time Data Engineer jobs in Boston, MA?

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

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

The top searched job categories for Part Time Data Engineer jobs in Boston, MA are:

What cities near Boston, MA are hiring for Part Time Data Engineer jobs?

Cities near Boston, MA with the most Part Time Data Engineer job openings:

Infographic showing various Part Time Data Engineer job openings in Boston, MA as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $140,924 per year, or $67.8 per hour.

Senior Engineer, Software Systems (R4903)

Shield AI

Boston, MA

$110K - $170K/yr

Full-time, Part-time

Re-posted 3 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:
We are seeking a skilled Systems Engineer to join the Hivemind Solutions Systems Engineering team. In this role, the candidate will support the design, development, integration, and validation of complex systems leveraging the Hivemind autonomy software. This role requires a strong foundation in systems thinking, cross-functional collaboration, and the ability to translate stakeholder needs into robust technical solutions.
What you'll do:
  • Define, analyze, and manage system requirements, ensuring traceability and alignment with mission objectives
  • Develop system architectures and perform trade studies to balance performance, cost, and risk
  • Coordinate and manage interfaces across hardware, software, and external systems
  • Support system integration, verification, and validation activities, including test planning and execution
  • Identify technical risks and develop mitigation strategies throughout the system lifecycle
Required qualifications:
  • A minimum of 5 years of systems engineering or related experience with a Bachelor’s degree; or 4 years and a Master’s Degree; or 2 years with a PhD; or equivalent work experience
  • B.S. degree in a STEM discipline (e.g. Software, Aerospace, Mechanical, Electrical, Systems Engineering)
  • Experience with Systems Engineering practices and principals, including writing, organizing, and verifying requirements
  • Experience with MBSE and related efforts
  • Experience working in cross-functional teams
  • Excellent communication skills, both written and verbally
  • Organized and methodical
  • Software engineer experience in C++ and/or Python
  • Experience in reading, interpreting, and applying engineering drawings, including assembly drawings, parts lists, wiring diagrams, and schematics
  • Demonstrated record of working hard, being a trustworthy teammate, holding yourself and others to high standards, and being kind to others
  • The ability to obtain and maintain a US Security Clearance. US Citizenship is required as only US citizens are eligible for a security clearance
Preferred qualifications:
  • Expertise with MBSE, inclusive of use of Cameo API and Velocity Template Language (VTL)
  • Expertise with Requirement & Design decomposition
  • Experience in any/all of the following: Autonomy, Aircraft, Unmanned Vehicles
#LI-DM2
#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.