1

Data Processing Jobs in Pennsylvania (NOW HIRING)

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 ...

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and ...

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing 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 ...

New

Data Engineer Only W2

Malvern, PA · On-site

$112K - $134K/yr

Build and optimize data ingestion, transformation, and processing workflows. Develop data integration solutions for structured and unstructured data sources. Collaborate with business stakeholders to ...

New

Senior Data Engineer

Pittsburgh, PA · On-site +1

$150K - $175K/yr

Build and maintain complex, production-grade data pipelines to ingest, process, and enrich large volumes of healthcare data. * Data Quality and Governance : Establish and enforce data quality ...

Data Solutions Engineer

Allentown, PA · On-site +1

$91K - $156K/yr

Build and optimize data pipelines to support data extraction, transformation, and loading (ETL) processes using technologies such as Databricks, Snowflake, and Informatica IDMC. Develop automation ...

next page

Showing results 1-20

Data Processing information

See Pennsylvania salary details

$12

$20

$34

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 cities in Pennsylvania are hiring for Data Processing jobs? Cities in Pennsylvania with the most Data Processing job openings:
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 Engineer

Data Engineer

MHK TECH INC

Malvern, PA • On-site

$112K - $134K/yr

Full-time

Re-posted 13 days ago


Job description

Job Summary:
MHK TECH INC is seeking a Data Engineer to design and maintain robust data pipelines and manage relational databases. The role involves collaborating with cross-functional teams to operationalize machine learning models and ensure data quality and compliance in a cloud environment.
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 store structured and unstructured data from various sources.
• Ensure data pipelines are scalable, secure, and optimized for performance.
• Document architecture, database, data flow, and algorithm details.
• Manage and optimize relational databases using Azure SQL and flat files in cloud native, Azure environment.
• Write complex SQL queries for data extraction, transformation, and analysis.
• Implement indexing, partitioning, and performance tuning strategies.
• Establish and maintain processes aligned to master data management; data quality, security, storage, and database tuning throughout the data lifecycle.
• Collaborate with Data Analyst to operationalize ML models using Azure Machine Learning.
• Support feature engineering, model versioning, and deployment pipelines.
• Utilize Azure ML tools like AutoML, HyperDrive, and Model Registry for experimentation and tracking.
• Leverage Azure Functions, Logic Apps, and Event Hubs for event-driven data processing.
• Automate data workflows and monitoring using CI/CD pipelines and scripting (PowerShell, PowerAutomate).
• Ensure compliance with security and governance policies across all data assets.
• Work closely with cross-functional teams including product, engineering, testing, and information security.
• Translate business requirements into technical specifications and data solutions.
• Document data flows, architecture, and operational procedures.
Qualifications:
Required:
• Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field.
• 5+ years of experience in data engineering roles.
• Proficiency in SQL and experience with Azure data services, (Synapse, Azure ML).
• Familiarity with machine learning concepts and model deployment practices.
• Strong problem-solving skills and attention to detail.
• Excellent communication and collaboration abilities.
Preferred:
• Experience with Azure DevOps, GitHub Actions, or other CI/CD tools.
• Working knowledge of .Net.
• Knowledge of data governance frameworks and SOC 2 compliance.
• Exposure to financial services, credit union, banking data environments.
Company:
MHK TECH INC has been delivering enterprise cloud solutions to our clients across the globe. Founded in 2014, the company is headquartered in Houston, USA, with a team of 11-50 employees. The company is currently Early Stage.