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Data Processing Jobs in Pottstown, PA (NOW HIRING)

Data Engineer

Malvern, PA · On-site

$112K - $134K/yr

The ideal candidate will have hands-on experience with cloud-based data lakes, distributed data processing, CI/CD, and production support. Key Responsibilities * Design, develop, and optimize ETL/ELT ...

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 ...

Data Engineer

West Chester, PA · On-site +1

$108K - $130K/yr

This role offers the opportunity to work with environments processing over 50TB of interaction data, leveraging modern technologies including AWS, PySpark, Databricks, Kafka, Kubernetes, and Airflow.

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 Engineer@Malvern, PA

Malvern, PA · On-site

$112K - $134K/yr

Experience building Spark data processing applications (Python, Pyspark) Experience with SQL development. Regards, Deva iBrain Technologies, INC. | A Certified Minority Business Enterprise Email:deva ...

Data Engineer

Malvern, PA · On-site

$120K - $130K/yr

... process large datasets from multiple source systems. • Utilize Attunity for real-time and batch data replication between on-premises and cloud environments. • Build and manage data lakes and ...

Data Architect-68464

Reading, PA · On-site

$61.25 - $78.75/hr

Lead architecture and implementation of ETL/ELT, batch processing, streaming, and real-time data integration solutions. * Design enterprise data solutions supporting BI, analytics, AI/ML, and ...

Data Architect-68464

Reading, PA · On-site

$61.25 - $78.75/hr

Lead architecture and implementation of ETL/ELT, batch processing, streaming, and real-time data integration solutions. * Design enterprise data solutions supporting BI, analytics, AI/ML, and ...

Data Architect-68464

Reading, PA · On-site

$61.25 - $78.75/hr

Lead architecture and implementation of ETL/ELT, batch processing, streaming, and real-time data integration solutions. * Design enterprise data solutions supporting BI, analytics, AI/ML, and ...

Architect data warehousing, data integration, and analytics solutions supporting high-volume, large-scale data processing * Enable advanced analytics, AI/ML, and automation capabilities across the ...

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Data Processing information

See Pottstown, PA salary details

$11

$19

$33

How much do data processing jobs pay per hour?

As of Aug 28, 2026, the average hourly pay for data processing in Pottstown, PA is $19.70, according to ZipRecruiter salary data. Most workers in this role earn between $15.67 and $21.73 per hour, depending on experience, location, and employer.

What is data processing?

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.

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 are the key skills and qualifications needed to thrive in data processing, 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 do you do as a data processing?

A data processing professional collects, organizes, and analyzes data to ensure accuracy and usability. They use tools like spreadsheets, databases, and data management software to clean, transform, and prepare data for reporting or decision-making. Attention to detail and knowledge of data handling techniques are essential in this role.

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 popular job titles related to Data Processing jobs in Pottstown, PA?

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

What job categories do people searching Data Processing jobs in Pottstown, PA look for?

The top searched job categories for Data Processing jobs in Pottstown, PA are:

What cities near Pottstown, PA are hiring for Data Processing jobs?

Cities near Pottstown, PA with the most Data Processing job openings:

Infographic showing various Data Processing job openings in Pottstown, PA as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $40,972 per year, or $19.7 per hour.

Data Engineer

Malvern, PA • On-site

Drevol LLC
IT Services • 1 - 10 employees

$112K - $134K/yr

Other

Posted 28 days ago


Job description

Data Engineer

Location:Malvern PA
Openings: 3
Duration: Contract

Job Summary

We are seeking an experienced Data Engineer with strong expertise in Python, PySpark, AWS Glue, and AWS data services to build and support scalable ETL/ELT pipelines for enterprise financial and data platforms. The ideal candidate will have hands-on experience with cloud-based data lakes, distributed data processing, CI/CD, and production support.

Key Responsibilities
  • Design, develop, and optimize ETL/ELT pipelines using Python, PySpark, and AWS Glue.
  • Build scalable data ingestion and transformation solutions for enterprise data platforms.
  • Develop cloud-native data lake solutions and ensure data quality and reliability.
  • Implement CI/CD pipelines using GitHub Actions.
  • Support production environments, troubleshoot pipeline issues, and optimize performance.
  • Collaborate with business and technical teams in an Agile environment.
Required Qualifications
  • Bachelor's degree in Computer Science or related field.
  • 7+ years of Data Engineering experience.
  • Strong experience with Python, SQL, Apache Spark (PySpark), and AWS Glue.
  • Hands-on experience with AWS S3, Athena, Lambda, Step Functions, and EventBridge.
  • Experience building enterprise ETL/ELT pipelines and cloud data platforms.
  • Knowledge of CloudFormation or Terraform, Git, and GitHub Actions.
  • Strong understanding of data modeling and distributed data processing.
  • Excellent communication and problem-solving skills.
Preferred Skills
  • Financial Services or Asset Management experience.
  • Snowflake or Databricks.
  • Apache Iceberg, Delta Lake, or Hudi.
  • Airflow, Kafka, or Kinesis.
  • AWS Certifications.

This role is ideal for a Data Engineer with strong AWS and Spark expertise who enjoys building scalable, high-performance data solutions in a cloud environment.