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Data Processor Jobs in Pennsylvania (NOW HIRING)

Data Extraction and Transformation: * Assist with ETL processes to extract, transform, and load data from various sources. * Collaborate with IT teams to create seamless data integrations. * Quality ...

New

If the scope of the role changes during the hiring process, we'll update and communicate any adjusted range accordingly. Pattern Data is committed to pay equity and to maintaining competitive ...

Data Engineer

Malvern, PA · On-site

$112K - $134K/yr

Responsibilities : • Design, construct, and maintain robust data pipelines using Azure Data Factory, Azure Synapse, and Azure Databricks. • Develop ETL/ELT processes to ingest, transform, and ...

Data Solutions Analyst

Pittsburgh, PA · On-site

$80K - $110K/yr

If the scope of the role changes during the hiring process, we'll update and communicate any adjusted range accordingly. Pattern Data is committed to pay equity and to maintaining competitive ...

Data Engineer

West Mifflin, PA · On-site

$95K - $149K/yr

Your technical skills and proactive approach will be critical in optimizing data processes and ensuring data quality and reliability. Ready to make an impact? Apply now and help us build scalable ...

Data Engineer

West Mifflin, PA · On-site

$95K - $149K/yr

Your technical skills and proactive approach will be critical in optimizing data processes and ensuring data quality and reliability. Ready to make an impact? Apply now and help us build scalable ...

Senior Investment Data Analyst

West Chester, PA · On-site

$81K - $102K/yr

Design and implement scalable investment data processes, including data ingestion, pipelines, validation, transformation, reconciliation, and downstream integrations, with a focus on data quality ...

Data Engineer

Indiana, PA

$104K - $125K/yr

... processes including data flows from NFL and third-party sources. · Support the integration of data into the enterprise data warehouse (Snowflake and Microsoft Azure). · Collaborate with CRM, ...

$100 - $125/hr

Design and implement scalable investment data processes, including data ingestion, pipelines, validation, transformation, reconciliation, and downstream integrations, with a focus on data quality ...

Identify opportunities to improve data collection, business processes, reporting standards, and analytics practices. * Apply data storytelling and visualization best practices to communicate complex ...

Support enterprise data warehousing, ETL processes, and data integrations. * Write, execute, and troubleshoot complex SQL queries. * Analyze data, reporting requirements, system issues, and data ...

Showing results 41-60

Data Processor information

See Pennsylvania salary details

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How much do data processor jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for data processor in Pennsylvania is $20.31, according to ZipRecruiter salary data. Most workers in this role earn between $16.15 and $22.40 per hour, depending on experience, location, and employer.

What is a data processor?

A data processor transfers, organizes, and processes personal data for a company. It is typically an entry-level job that serves as a starting point for a career as a data controller. As a data processor, your duties involve processing incoming documents, transferring analog documents into digital data, verifying the information in all documents, updating document formats, and creating detailed reports on company data use and management. Qualifications for this career include excellent computer skills and a bachelor’s degree in computer science or data management.

What are the key skills and qualifications needed to thrive as a data processor, and why are they important?

To thrive as a Data Processor, you need strong attention to detail, accuracy in data entry, and a high school diploma or equivalent. Familiarity with spreadsheet software (such as Microsoft Excel), database management systems, and sometimes data processing software is typically required. Excellent organizational skills, the ability to follow procedures, and effective time management make someone stand out in this role. These skills ensure data integrity, minimize errors, and support efficient information management within an organization.

What are some common challenges faced by data processors and how can they be addressed?

Data Processors often encounter challenges such as managing large volumes of data accurately and efficiently, dealing with inconsistent or incomplete data, and ensuring data privacy and compliance. To address these, it's important to develop strong attention to detail, become proficient with data processing software, and stay updated on relevant data protection regulations. Collaborating closely with data analysts and IT teams can also help resolve data issues and improve workflow efficiency.

What is the difference between Data Processor vs Data Entry Clerk?

AspectData ProcessorData Entry Clerk
Required CredentialsHigh school diploma; some roles may require basic certificationsHigh school diploma; no specialized certifications typically needed
Work EnvironmentOffice settings, data centers, or remote workOffice environments, often in administrative settings
Employer & Industry UsageBusinesses, government agencies, financial institutionsCorporations, healthcare, retail, administrative offices
Common Search & ComparisonOften compared for data handling and processing tasksCompared for data input and administrative support roles

While both roles involve handling data, Data Processors typically perform more complex data management and validation tasks, often requiring some technical skills. Data Entry Clerks focus on inputting data accurately and efficiently. Understanding these differences helps in choosing the right role based on skills and career goals.

How much does a data processor earn?

The average salary for a data processor typically ranges from $30,000 to $45,000 per year, depending on experience, location, and industry. Entry-level positions may start lower, while experienced data processors with specialized skills or certifications can earn higher wages. Many roles also offer benefits such as health insurance and paid time off.

What do you do as a data processor?

A data processor collects, organizes, and manages data to ensure accuracy and consistency. They often use software tools like spreadsheets or databases and may perform tasks such as data entry, validation, and updating records to support business operations.

What are the most commonly searched types of Data Processor jobs in Pennsylvania?

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

What are popular job titles related to Data Processor jobs in Pennsylvania?

For Data Processor jobs in Pennsylvania, the most frequently searched job titles are:

What cities in Pennsylvania are hiring for Data Processor jobs?

Cities in Pennsylvania with the most Data Processor job openings:

What are popular job titles related to Data Processor jobs in PA?

For Data Processor jobs in PA, the most frequently searched job titles are:

Infographic showing various Data Processor job openings in Pennsylvania as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $42,254 per year, or $20.3 per hour.

Data Analyst

Data Ideology LLC

Pittsburgh, PA • On-site, Remote

Full-time

Posted 3 days ago

New


Job description

Data Ideology
At DI, we provide Data & Analytics expertise to drive measurable business outcomes, often solving complex business problems for our clients. Our data analytics advisory services enable our customers to transform data into insights by driving a culture of empowerment and ownership of results. Our team consists of highly motivated individuals passionate about learning, understanding, collaborating, and intellectually curious.For more information about Data Ideology, visitwww.dataideology.com
Data Analyst- Contract
We are looking for Data Analyst to join our growing team. A Data Analyst will leverage their business and technical knowledge to organize and manage deliverables in a data warehouse consolidation and business intelligence implementation project, while also working with business and technical teams to understand business strategy and objectives, gather information, and ensure business requirements are being fulfilled throughout the entire data & analytics lifecycle.
Key Responsibilities
To perform in this position successfully, an individual must be able to perform each essential duty satisfactorily. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. Other duties may be assigned to meet business needs.
  • Data Analysis and Interpretation:
    • Conduct in-depth analysis using the data warehouse to identify trends, patterns, and insights.
    • Interpret complex data sets and communicate findings to both technical and non-technical stakeholders.
  • Data Extraction and Transformation:
    • Assist with ETL processes to extract, transform, and load data from various sources.
    • Collaborate with IT teams to create seamless data integrations.
  • Quality Assurance and Testing
    • Perform thorough data validation and testing to ensure the highest possible data quality.
    • Clearly define and communicate when quality standards are not being met.
  • Problem Solving
    • Perform root cause analysis to identify the underlying or fundamental causes of an issue or problem.
    • Demonstrate ability to offer suggestions and solutions to remedy issues and promote sustainability.
  • Collaboration and Communication:
    • Work closely with cross-functional teams, including IT and business stakeholders, to align on goals and key deliverables.
    • Effectively prioritize tasks to meet established team goals.
  • Documentation:
    • Accurately document data mappings and definitions.
    • Outline standard processes and procedures of core activities
Supervisory Responsibilities: None
Qualifications
Education and Experience:
Education and Experience:
  • Bachelor's degree in healthcare or computer science related field preferred, but not necessary.
  • 2+ years' experience with any programming language (SQL, PLSQL, R, Python, etc)
  • 2+ years' experience in data analytics on any data warehouse (Oracle, SQL, Snowflake)
  • Healthcare experience a plus
  • Agile/SAFe experience a plus
Work Environment:
  • Remote work from home.
  • Hours of work and days are generally Monday through Friday. Specific business hours will depend on client needs.
Physical Demands:
  • Must be able to remain in a stationary position 50% of the time.
  • The person in this position must occasionally move about inside the office to access file cabinets, library stacks, office machinery, etc.
  • Constantly operates a computer and other office productivity machinery, such as a calculator, copy machine, and printer.
  • The person in this position frequently communicates with clients and coworkers. Must be able to exchange accurate information in these situations.

Data Ideology is an EEO Employer