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Part Time Data Engineering Jobs in Philadelphia, PA

UI-UX Engineer

Philadelphia, PA · Hybrid

$65K - $115K/yr

All full time and part time employees have access to participate in the Delphinus Engineering ... Experience in identifying trends and problems through complex big data analysis preferred.

Back-End Engineer

Philadelphia, PA · Remote

$75K - $125K/yr

All full time and part time employees have access to participate in the Delphinus Engineering ... Implement processes and technologies to gather, analyze, and validate shipboard equipment data ...

Front-End Engineer

Philadelphia, PA · On-site +1

$75K - $125K/yr

All full time and part time employees have access to participate in the Delphinus Engineering ... Work with complex shipboard data, helping to validate, troubleshoot, and transform it into ...

UI-UX Engineer

Philadelphia, PA · On-site

$65K - $115K/yr

All full time and part time employees have access to participate in the Delphinus Engineering ... Experience in identifying trends and problems through complex big data analysis preferred.

Back-End Engineer

Philadelphia, PA · On-site

$75K - $125K/yr

All full time and part time employees have access to participate in the Delphinus Engineering ... Implement processes and technologies to gather, analyze, and validate shipboard equipment data ...

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Part Time Data Engineering information

See Philadelphia, PA salary details

$44.9K

$130.9K

$179.1K

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

As of Sep 9, 2026, the average yearly pay for part time data engineering in Philadelphia, PA is $130,895.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,500.00 and $138,700.00 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 Philadelphia, PA?

The most popular types of Data Engineering jobs in Philadelphia, PA are:

What are popular job titles related to Part Time Data Engineering jobs in Philadelphia, PA?

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

What cities near Philadelphia, PA are hiring for Part Time Data Engineering jobs?

Cities near Philadelphia, PA with the most Part Time Data Engineering job openings:

Infographic showing various Part Time Data Engineering job openings in Philadelphia, PA 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 $130,895 per year, or $62.9 per hour.

Healthcare Data Scientist

Camden, NJ

Cooper University Hospital
Health Care and Social Assistance • 5 - 10K employees

$70/hr

Full-time, Part-time

Medical, Dental, Vision, Life, Retirement

Posted 23 days ago


Cooper University Health Care rating

7.5

Company rating: 7.5 out of 10

Based on 133 frontline employees who took The Breakroom Quiz

231st of 898 rated healthcare providers


Job description

About Us

At Cooper University Health Care, our commitment to providing extraordinary health care begins with our team. Our extraordinary professionals are continuously discovering clinical innovations and enhanced access to the most up-to-date facilities, equipment, technologies and research protocols. We have a commitment to our employees to provide competitive rates and compensation programs. Cooper offers full and part-time employees a comprehensive benefits program, including health, dental, vision, life, disability, and retirement. We also provide attractive working conditions and opportunities for career growth through professional development.

Discover why Cooper University Health Care is the employer of choice in South Jersey.

Short Description  The Data Scientist plays a pivotal role in planning, executing, and delivering machine learning-based projects that drive business impact. This role involves analyzing large datasets, developing AI /ML /optimization models, and translating findings into actionable insights. The Data Scientist partners with business and operational leaders, supports senior leadership with analytics, and fosters a culture of data-driven decision-making across the organization.  Experience Required

3 to 5 years of relevant project experience in successfully planning, and executing data science projects, including statistical analysis and data engineering.

Education Requirements

Master's Degree Required.

Master's, or PhD in Computer Science, Data Science, Engineering, Statistics, Applied Mathematics, Operations Research, or a related quantitative field.

License/Certification Requirements

Relevant certifications in data science/AI (e.g., Google Cloud Professional ML Engineer, AWS Certified Machine Learning).

Salary Min ($)USD $41.00Salary Max ($)USD $70.00Employment Type: OTHER

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