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Data Processing Jobs in Pennsylvania (NOW HIRING)

Dorman Products

Data Engineering Lead

Colmar, PA · Hybrid

$113K - $136K/yr

Implement reusable Python-based data processing modules for parsing, enrichment, and handling semi‑structured data (JSON, XML, APIs) * Integrate data from SAP ECC, SAP APO, SAP HANA, and other ...

Purple Drive Technologies LLC

AWS Data Engineer

Malvern, PA · On-site

$112K - $134K/yr

Implement batch and real-time data processing pipelines. Data Integration * Use Attunity (Qlik Replicate) for real-time and batch data replication. * Integrate data from on-premises systems to AWS ...

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Winaxis

Data Scientist

Philadelphia, PA · On-site

$60/hr

... data processing and manage large-scale/big data (e.g., telecom network data, high-volume transactions). - Ensure high data quality, accuracy, and governance in all analytics projects. - Align ...

SysMind Tech

Data Engineer

Pittsburgh, PA · On-site

$111K - $133K/yr

Develop high-performance Spark (PySpark) workflows for data processing. * Work with large-scale data in Lakehouse/Data Lake environments. * Optimize and troubleshoot existing Databricks jobs and ...

Kanak Elite Services Inc

Data Engineer

Malvern, PA · On-site

$112K - $134K/yr

Design, develop, and maintain scalable data pipelines and ETL processes. * Create and deploy data products from multiple sources for analytics and reporting, integrating multiple sources to support ...

JPC Partners

Data Engineer

Norristown, PA

$109K - $131K/yr

Experience in data engineering and cloud data processing services (Azure Cloud Platform) * Hands on Experience in Data Warehousing & ETL tools * Experience in Big Data technologies (e.g. Databricks ...

IntegriChain

Sr Data Engineer

Philadelphia, PA · On-site +1

$115K - $138K/yr

We deliver the data, the applications, and the business process infrastructure for patient access and therapy commercialization. More than 250 manufacturers rely on our ICyte Platform to orchestrate ...

IntegriChain

Sr Data Engineer

Philadelphia, PA

$115K - $138K/yr

We deliver the data, the applications, and the business process infrastructure for patient access and therapy commercialization. More than 250 manufacturers rely on our ICyte Platform to orchestrate ...

IntegriChain

Sr Data Engineer

Philadelphia, PA

$115K - $138K/yr

We deliver the data, the applications, and the business process infrastructure for patient access and therapy commercialization. More than 250 manufacturers rely on our ICyte Platform to orchestrate ...

Vangard, Inc.

Data Analyst, Specialist

Malvern, PA

Role Summary The Data Analyst, Senior Specialist is responsible in driving data-driven decision-making across the organization by leading complex analytical projects, optimizing data processes and ...

Vangard, Inc.

Data Analyst, Specialist

Malvern, PA

The Lead Data Analyst is responsible for driving data-driven decision-making across the organization by leading complex analytical projects, optimizing data processes and delivering actionable ...

Vanguard Group

Data Analyst, Specialist

Malvern, PA · On-site

The Lead Data Analyst is responsible for driving data-driven decision-making across the organization by leading complex analytical projects, optimizing data processes and delivering actionable ...

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How much do data processing jobs pay per hour?

As of Jul 15, 2026, the average hourly pay for data processing 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 are the key skills and qualifications needed to thrive in the Data Processing position, and why are they important?

To thrive in Data Processing, you need strong analytical abilities, attention to detail, and proficiency with spreadsheets and database management, often supported by an associate's degree or relevant experience. Familiarity with tools like Microsoft Excel, SQL, or data entry software, as well as certifications such as Certified Data Processor (CDP), are frequently expected. Strong organizational skills, time management, and the ability to troubleshoot problems efficiently are valued soft skills. These competencies are crucial for ensuring data accuracy, meeting deadlines, and supporting smooth information operations within an organization.

What is a data processing job role?

A data processing job involves collecting, organizing, and converting raw data into a usable format for analysis or reporting. It often requires skills in data management tools, attention to detail, and knowledge of data formats and software such as Excel, SQL, or specialized processing programs.

What are the typical daily responsibilities of someone working in Data Processing?

A typical day for a Data Processing professional involves entering, validating, and updating records in databases or spreadsheets to ensure data integrity. You may also be responsible for generating reports, cleaning large data sets, and identifying discrepancies or errors for correction. Collaboration with team members or departments is common to clarify data requirements and resolve issues. Staying organized and attentive to detail is essential because the quality of processed data can impact decision-making across the organization.

What is a Data Processing job?

A Data Processing job involves collecting, organizing, and managing data to ensure accuracy and accessibility. Professionals in this role use software tools to input, clean, analyze, and process data for businesses or organizations. They may also generate reports and automate workflows to streamline data handling. Strong attention to detail and proficiency in data management tools are essential for success in this field.

Is AI replacing data entry jobs?

AI is automating many data entry tasks by using machine learning and optical character recognition, which can increase efficiency and reduce manual labor. However, data processing jobs still require human oversight for complex or unstructured data, and roles involving data validation, analysis, and management remain essential. Professionals in data processing should develop skills in AI tools and data management to stay relevant.

What is the highest paying job in data?

In data-related fields, roles such as Data Science Director, Chief Data Officer, or Senior Data Architect tend to have the highest salaries, often exceeding six figures annually. These positions typically require advanced skills in data analysis, machine learning, and leadership, along with extensive experience and relevant certifications.
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 are popular job titles related to Data Processing jobs in Pennsylvania? For Data Processing jobs in Pennsylvania, the most frequently searched job titles are:
What job categories do people searching Data Processing jobs in Pennsylvania look for? The top searched job categories for Data Processing jobs in Pennsylvania are:
What cities in Pennsylvania are hiring for Data Processing jobs? Cities in Pennsylvania with the most Data Processing job openings:
Data Processing jobs near you
Infographic showing various Data Processing job openings in Pennsylvania as of July 2026, with employment types broken down into 1% As Needed, 76% Full Time, 17% Part Time, 1% Temporary, 4% Contract, and 1% Nights. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $42,254 per year, or $20.3 per hour.
Data Architect

Data Architect

Federal Reserve Bank of San Francisco

Philadelphia, PA • On-site

$140/hr

Full-time

Medical, Life, Retirement, PTO

Posted 27 days ago

Job description

CompanyFederal Reserve Bank of St. LouisThe Federal Reserve Bank of St. Louis is seeking a Research Platform Architect to lead the technical vision and long-term architecture of its global economic research platforms such as FRED and FRASER. These platforms provide access to hundreds of thousands of economic time-series datasets, historical archives, and research publications used by millions of economists, policymakers, researchers, students, and developers worldwide.

The Data Architectwill lead the design and modernization of the data architecture that powers the economic data platforms of St. Louis based Research applications such as FRED. These platforms manage massive collections of economic time-series data, historical revisions, digitized archival documents, and research publications.

This role focuses on designing scalable data platforms, data models, and data governance frameworksto support long-term growth, advanced analytics, and global access to economic data. It will leverage in-depth knowledge of modern data technologies, industry frameworks, data security best practices and emerging innovations in AI/ML and data science to accelerate value, delivery and outcomes for the business.

The Data Architect will partner closely with the Application/Enterprise Architectto ensure seamless integration between data platforms and application services.

Key Responsibilities

  • Define and evolve the target data architecturesupporting economic data systems.
  • Design scalable storage architectures capable of supporting billions of time-series observations and historical revisions.
  • Develop metadata schemas supporting dataset discoverability, lineage, and governance.
  • Standardize dataset structures and metadata across multiple platforms.
  • Implement scalable data processing frameworks capable of supporting growing dataset volumes.
  • Improve indexing and metadata strategies that support dataset search and discovery.
  • Enable advanced analytical capabilities for researchers and developers.
  • Partner with the Application Architect to optimize data access patterns for APIs and applications.

Required Qualifications

  • 7+ years of experience in data architecture, data engineering or database design and large-scale enterprise cloud data implementations in complex, highly regulated environments. Deep understanding of modern data technology stacks, cloud data platforms (AWS preferred), and enterprise software solutions.
  • Demonstrated experience designing, architecting and supporting external / public-facing applications with a strong emphasis on scalability, security, availability and performance for external customer-facing platforms. Demonstrated knowledge of and leading adoption of industry best practices in the areas of DataOps and modern data stack tools, data governance, SQL and other query tools and knowledge of data privacy regulations. Industry-related certifications in one or more of the above areas are desired.
  • Demonstrated experience in cloud data architecture skills including designing, architecting and delivering modern cloud data platforms to ingest, process, store and expose data across the enterprise. Expert knowledge of data modeling techniques and tools, data lifecycle management and integration patterns to ensure that data flows are consistent, reliable and reusable across services and solutions. Experience with data storage technologies, partitioning strategies, caching, data access patterns, and robust security strategies enforcing privacy and regulatory requirements including designing standardized approaches for data classification, access control, encryption, retention and auditability. Knowledge of data warehousing concepts and tools, big data technologies, machine learning and AI data requirements.
  • Outstanding communication and collaboration skills, including translating technical topics and risks into business teams. Ability to personalize communication to audience from technologists to executive leadership.
  • Extensive, in-depth experience implementing highly complex technology projects in a cross-functional matrix environment with demonstrated ability to drive consensus and deliver results. Examples of leading through influence and successfully resolving conflicting priorities are required.

Preferred Qualifications

  • Experience working with time-series data platforms or analytical datasets.
  • Experience with distributed query engines and large-scale data processing systems.
  • Experience with data catalog and metadata management platforms.
  • Familiarity with economic datasets or research data environments.
  • Experience supporting public data access or research-oriented platforms.

Total Rewards

Bring your passion and expertise, and we'll provide the opportunities that will challenge you and propel your growth-along with a wide range of benefits and perks that support your health, wealth, and life.

Salary: $140-170k

In addition to competitive compensation, we offer a comprehensive benefits package that all brought together in a flexible work environment where you can truly find balance:

  • Generous paid time off
  • Tuition & Training assistance/reimbursement
  • 401(k) match & Annuity/Pension fund
  • Top-notch health care benefits
  • Child and family care leave
  • Professional development opportunities
  • And more...

At the Federal Reserve Bank of St. Louis, we are committed to a strong and resilient economy for all. We prioritize inclusion and strive to be a workplace where all employees can thrive. Learn more about Bank's culture

The Federal Reserve Bank of St Louis is an Equal Opportunity Employer.

Full Time / Part TimeFull timeRegular / TemporaryRegularJob Exempt (Yes / No)YesJob CategoryInformation Technology Family GroupWork ShiftFirst (United States of America)

The Federal Reserve Banks are committed to equal employment opportunity for employees and job applicants in compliance with applicable law and to an environment where employees are valued for their differences.

Always verify and apply to jobs on Federal Reserve System Careers (https://rb.wd5.myworkdayjobs.com/FRS) or through verified Federal Reserve Bank social media channels.

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