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Part Time Data Engineer Jobs in Pennsylvania (NOW HIRING)

$21/hr

AND POSITION REQUIREMENTS The Department of Computer Science and Engineering is seeking part-time ... Proficient in scripting, data manipulation, and debugging * NumPy * Experience with array ...

Creates and maintains all data within PATS as required excluding interface maps. * Works on special ... Curriculum experience in college along with internships/part time roles in IE type function during ...

We are seeking a motivated candidate to fill the role of a Part-Time Engineering Technologist to ... Analyze data and report results * Research new sample preparation and characterization methods

Evaluate customer bid requirements, specifications, and other pertinent data. * Prepare proposals ... All part-time and temporary employees are eligible for 401(k). Minimum Required Salary and benefits ...

Evaluate customer bid requirements, specifications, and other pertinent data. * Prepare proposals ... All part-time and temporary employees are eligible for 401(k). Minimum Required Salary and benefits ...

$15 - $19/hr

... part-time positions in each of its programs which include: * Engineering Design Programs ... data analysis, or other research support tasks. Teaching assistant duties may include grading ...

$25/hr

... Engineering is seeking applicants for part-time job of part-time research support. Job duties to ... data management and computer-based data analysis skills * experience in organic and polymer ...

Showing results 41-60

Part Time Data Engineer information

See Pennsylvania salary details

$44.6K

$130K

$177.9K

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

As of Aug 18, 2026, the average yearly pay for part time data engineer in Pennsylvania is $130,028.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,800.00 and $137,800.00 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 Pennsylvania?

The most popular types of Data Engineer jobs in Pennsylvania are:

What are popular job titles related to Part Time Data Engineer jobs in Pennsylvania?

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

What job categories do people searching Part Time Data Engineer jobs in Pennsylvania look for?

The top searched job categories for Part Time Data Engineer jobs in Pennsylvania are:

What cities in Pennsylvania are hiring for Part Time Data Engineer jobs?

Cities in Pennsylvania with the most Part Time Data Engineer job openings:

Infographic showing various Part Time Data Engineer job openings in Pennsylvania 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 $130,028 per year, or $62.5 per hour.

Instructional Staff - AI Engineer

Carnegie Mellon University

Pittsburgh, PA • On-site

Full-time, Part-time

Posted 8 days ago


Carnegie Mellon University rating

8.6

Company rating: 8.6 out of 10

Based on 24 frontline employees who took The Breakroom Quiz

67th of 618 rated colleges and universities


Job description

Description
Position Title: Instructional Staff - AI Engineer
Location: Heinz College, Carnegie Mellon University
Start Date: August 24, 2026 (Fall Semester)
Position Type: Part-Time, Temporary
Reports To: Faculty Supervisor(s)
Student-Facing: Yes
Position Summary
Heinz College at Carnegie Mellon University is seeking a graduate of the Master of Artificial Intelligence Systems Management (AIM) or an AI-related CMU program to assist in creating AI systems or workflows for assignments originally designed for Python developers into equivalent assignments for AI systems or LLM agent workflows. This role supports curriculum development and delivery for these courses, which include core courses in the AIM program and a related MISM course: 95-820 NL(X) and LLMs, 94-844 Generative AI Lab, 95-864 AI Model Development, and 94-879 Fundamentals of Operationalizing AI.
Key Responsibilities
• Manage software, data and AI model compliance, including understanding university, local, state and federal policies to ensure course content, computing environments, computer resources, data, information and course delivery meets university, local, state and federal rules.
• Establish, develop and maintain shared compute resources, such as virtual machines or local hosts, for implementing and evaluating Generative AI models.
• Develop course assignments and activities to teach Generative AI model development, evaluation, operationalization, and standard industry practices for AI engineering.
• Translate existing Python programming assignments into LLM Agent or 'Agentic AI' equivalents.
• Collaborate with a supervising professor to align assignments with course objectives.
• Maintain clear documentation of decisions and code structure.
• Assist in testing and validating translated assignments for correctness and usability.
Additional Information
• This is a student-facing, full-time temporary role focused on backend curriculum support.
• The position is ideal for someone looking to contribute to academic development while gaining experience in educational technology and instructional design.
• This is an AI-engineering focused position, supporting AI courses at Heinz College, Carnegie Mellon University. The position is ideal for someone who enjoys building systems, workflows or APIs for large language model (LLM) systems.
Qualifications
Required Qualifications
• Graduate of the AIM program at Heinz College, Carnegie Mellon University.
• Willingness to present or communicate with students on a regular basis.
• Proficiency in Python programming language and LLM System Engineering.
• Experience establishing virtual machine and compute environments (Linux, AWS, GCP).
• Strong understanding of distributed AI system concepts and infrastructure.
• Experience with designing and conducting LLM evaluations and working with LLM APIs.
• Ability to work independently and communicate effectively with faculty supervisor(s).
• Ability to conduct worth with integrity and ethics and work professionally with students.
Preferred Qualifications
• Experience with educational content development or curriculum support.
• Experience with version control systems (e.g., Git).
• Experience working with containers (Docker, Podman, Apple Containers)
• Attention to detail and commitment to producing high-quality instructional materials.

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