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Part Time Data Processing Jobs in Pennsylvania (NOW HIRING)

Master Data Governance Planner

Archbald, PA · On-site +1

$60K - $106K/yr

Design and implement data quality controls and validation processes. * Collaborate with cross ... Ability to Work Remotely: Part-time Remote Telework: The employee selected for this position will ...

Master Data Governance Planner

Archbald, PA · On-site +1

$60K - $106K/yr

Design and implement data quality controls and validation processes. * Collaborate with cross ... Ability to Work Remotely: Part-time Remote Telework: The employee selected for this position will ...

Benefits eligibility for permanent positions may vary by full-time or part-time roles, location, or ... data, skills, experience, and other relevant factors. For questions about this please discuss with ...

Benefits eligibility for permanent positions may vary by full-time or part-time roles, location, or ... data, skills, experience, and other relevant factors. For questions about this please discuss with ...

$15/hr

Responsibilities include deidentifying and processing video discourse data, as well as data ... Compensation for this part-time position starts at $15/hr Required Applicant Prerequisites:

Processing specimens including: labeling, centrifuging, aliquoting, freezing and preparing for ... Keyboard/data entry experience. The position requires the ability to effectively communicate in ...

Processing specimens including: labeling, centrifuging, aliquoting, freezing and preparing for ... Keyboard/data entry experience. The position requires the ability to effectively communicate in ...

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Part Time Data Processing information

See Pennsylvania salary details

$8

$18

$27

How much do part time data processing jobs pay per hour?

As of Jun 12, 2026, the average hourly pay for part time data processing in Pennsylvania is $18.13, according to ZipRecruiter salary data. Most workers in this role earn between $14.47 and $20.14 per hour, depending on experience, location, and employer.

What is the difference between Part Time Data Processing vs Part Time Data Entry?

AspectPart Time Data ProcessingPart Time Data Entry
CredentialsBasic computer skills, familiarity with data processing softwareBasic computer skills, proficiency in typing and data entry tools
Work EnvironmentRemote or office-based, handling data files and softwareRemote or office-based, entering data into spreadsheets or databases
Industry UsageBusiness, finance, healthcare, and tech sectorsAdministrative, retail, healthcare, and customer service sectors

Part Time Data Processing involves managing and analyzing data using specialized software, often requiring some familiarity with data management tools. Part Time Data Entry focuses on inputting data into systems, emphasizing typing speed and accuracy. While both roles are often remote and require basic computer skills, data processing may involve more technical tasks, whereas data entry is more straightforward and clerical. Understanding these differences helps job seekers find roles that match their skills and career goals.

What are part time data processing jobs?

Part time data processing jobs involve handling, organizing, and managing data on a flexible or reduced-hour schedule. These roles typically require entering, updating, and verifying data in computer systems or databases. Common tasks may include data entry, cleaning up existing information, or generating reports. Part time positions are ideal for students, parents, or anyone seeking work-life balance, and can be found in various industries such as healthcare, finance, and retail.

What are the key skills and qualifications needed to thrive as a Part Time Data Processing professional, and why are they important?

To thrive in Part Time Data Processing, you need strong attention to detail, accuracy, and basic computer literacy, often supported by a high school diploma or equivalent. Familiarity with spreadsheet software like Microsoft Excel, database systems, and sometimes data entry platforms is typically required. Time management, reliability, and effective communication are important soft skills that help ensure consistent and error-free work. These skills are crucial for maintaining data integrity and supporting organizational efficiency in data-driven environments.

What are some common challenges faced in a part-time data processing role, and how can they be managed?

Part-time data processing professionals often encounter challenges like tight deadlines, handling large data volumes, and ensuring accuracy despite working fewer hours. Staying organized and maintaining clear communication with supervisors can help manage shifting priorities and workloads. Additionally, utilizing automation tools and regularly verifying data accuracy can streamline tasks and reduce errors, making it easier to balance responsibilities within a part-time schedule.
What are the most commonly searched types of Data Processing jobs in Pennsylvania? The most popular types of Data Processing jobs in Pennsylvania are:
What job categories do people searching Part Time Data Processing jobs in Pennsylvania look for? The top searched job categories for Part Time Data Processing jobs in Pennsylvania are:
Full-Stack Engineer

$110K - $160K/yr

Full-time, Part-time

Medical, Life, Retirement, PTO

Posted 2 days ago


Job description

SALARY RANGE: $110,000 - $160,000 per year

In determining compensation, various factors will be considered, including but not limited to, educational background; relevant experience, knowledge, skills, and abilities, market factors; and geographic location.

BENEFITS: All eligible full time employees will receive Paid Annual Leave (PAL) starting at 23 days per year and raising by one day per year following one full calendar year of employment (January through December). They will also be offered health benefits and will be automatically enrolled in employer paid short and long term disability and life insurance.

All full time and part time employees have access to participate in the Delphinus Engineering 401(k) which includes company match of 25% up to 10% deferred.

GENERAL SUMMARY: The Full-Stack Engineer position is instrumental in designing, developing, and maintaining sophisticated Condition Assessment Systems that are crucial for naval operations. The Full-Stack Engineer will leverage a modern tech stack centered on GoLang, Kubernetes, and event-driven microservices to build resilient, scalable platforms that directly impact naval readiness and maintenance strategies.

LOCATION: Philadelphia, PA

PRINCIPAL DUTIES/RESPONSIBILITIES:

  • Design, build, and enhance event-driven microservices and software utilities using GoLang, with exposure to Javascript and Kotlin.
  • Develop critical software upgrades and enhancements for advanced Condition Assessment and Remote Monitoring systems.
  • Own the CI/CD pipeline using GitLab CI, Ansible, and Terraform to automate builds, testing, and deployments in a Kubernetes environment.
  • Provide RDBMS support for PostgreSQL and time-series databases (e.g., InfluxDB, TimescaleDB), including schema design, optimization, and administration.
  • Implement and manage robust monitoring and observability solutions using Prometheus and Grafana to ensure system health and performance.
  • Provide engineering services to gather, validate, and analyze shipboard data, troubleshooting issues and supporting the development of equipment logistic models.
  • Conduct hardware setup, maintenance, and rigorous software development testing in accordance with IEEE standards.

EDUCATION AND EXPERIENCE REQUIREMENTS:

  • Bachelor’s level degree in Computer, Electrical or Electronics Engineering, or Mathematics with field of concentration in computer science or equivalent. from an accredited college or university.
  • At least 5 years of experience in computer design, software development or computer networks including Linux, Kubernetes, RabbitMQ, Vue, GIT.
  • At least 5 years of experience in Database Development, Web Development or application development using real-time data acquisition and analysis, batch data processing, data storage and retrieval, and user interface applications.
  • Experience in the design, development, and implementation of machinery lifecycle management software systems preferred.
  • Familiarity with and have developed applications using the DoDAF standards preferred.

SPECIAL REQUIREMENTS:

  • Successful applicants must either have an active government security clearance or the ability to receive approval upon position acceptance.
  • Must have a valid US passport or the ability to obtain one upon position acceptance.
  • Ability to obtain OS certification or complete approved related training within 180 days of hire.
  • A+ CE, CCNA-Security, CND, Network+ CE, or SSCP certification preferred.
  • U.S. Citizenship is required.

SKILLS AND ABILITIES:

Essential Skills:

  • Proven experience developing robust backend services using GoLang (10+ years preferred).
  • Expertise in designing and building event-driven microservices architectures (10+ years preferred).
  • Deep understanding and hands-on experience with container orchestration using Kubernetes (7+ years preferred).
  • Experience with message brokers such as RabbitMQ, Kafka, or NATS (7+ years preferred).
  • Proficiency with API design and implementation using gRPC and GraphQL (7+ years preferred).
  • Strong DevOps mindset with hands-on experience in GitLab CI, Ansible, and Terraform (5+ years preferred).
  • Solid experience with observability tools like Prometheus and Grafana (7+ years preferred).
  • Expert-level proficiency with Git for version control.
  • Strong command of Linux environments.
  • Advanced SQL skills and experience with relational databases (e.g., PostgreSQL, MS SQL, etc.) (10+ years preferred).
  • Experience with time-series databases (e.g, TimescaleDB, InfluxDB, etc.) (7+ years preferred).

Additional Preferred Skills:

  • Experience in industrial analytics, machinery diagnostics, or condition-based maintenance (CBM) systems.
  • Prior experience delivering Data-as-a-Service (DaaS) or Platform-as-a-Service (PaaS) solutions.
  • Familiarity with U.S. Government or Department of Defense development environments.