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Data Processing Jobs in New Jersey (NOW HIRING)

AaraTechnologies Inc

DATA ENGINEER

Jersey City, NJ · On-site

$119K - $143K/yr

Data Engineer Retail & E-Commerce (2-3 Years Experience) Company: AaraTech Inc About the Role ... Processing, Schema Design Basics, Documentation, Collaboration with BI Teams

Inherent Technologies

Big Data Developer

Jersey City, NJ · On-site

$55.25 - $71.75/hr

Spark Scala Hive/HDFS/HQL Linux Based Hadoop Ecosystem (HDFS, Impala, Hive, HBase, etc.) Experience in Big data technologies , real time data processing platform(Spark Streaming) experience would be ...

Artech Information System LLC

Data Architect

Pennington, NJ

$64.25 - $82.75/hr

Experience in QC, integration and processing of biomarkers data including FLOW Cytometry data. Skills in the scientific data processing related technologies: VBA, Pipeline Pilot, R, Python, or web ...

Noblesoft Technologies

Data Engineer

Princeton, NJ · On-site

$120K - $144K/yr

Data Pipeline Development - Design, build, and maintain scalable and reliable data pipelines to ingest, process, and transform data from various sources. * Data Integration & Management - Integrate ...

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Data Processing information

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How much do data processing jobs pay per hour?

As of Aug 23, 2026, the average hourly pay for data processing in New Jersey is $20.57, according to ZipRecruiter salary data. Most workers in this role earn between $16.35 and $22.69 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 the most commonly searched types of Data Processing jobs in New Jersey?

The most popular types of Data Processing jobs in New Jersey are:

What are popular job titles related to Data Processing jobs in New Jersey?

For Data Processing jobs in New Jersey, the most frequently searched job titles are:

What job categories do people searching Data Processing jobs in New Jersey look for?

The top searched job categories for Data Processing jobs in New Jersey are:

What cities in New Jersey are hiring for Data Processing jobs?

Cities in New Jersey with the most Data Processing job openings:

Data Processing jobs near you
Infographic showing various Data Processing job openings in New Jersey as of August 2026, with employment types broken down into 81% Full Time, 6% Part Time, and 13% Contract. Highlights an 94% In-person, and 6% Hybrid job distribution, with an average salary of $42,795 per year, or $20.6 per hour.

BIG DATA ENGINEER

Prophecy Technologies

Berkeley Heights, NJ • On-site

$58.25 - $77/hr

Full-time

Re-posted 4 days ago

Job description

Job Title: Big Data Engineer (Java,Spark, Hadoop, Ozone CH)
Location: Berkeley Heights, NJ
Role Overview:
We are seeking a highly skilled Big Data Engineer with strong experience in Apache Spark, Hadoop ecosystem, and Apache Ozone. The ideal candidate will design, develop, and optimize large-scale data processing systems, ensuring high performance, scalability, and reliability for enterprise-level applications.
Key Responsibilities:
• Design and implement distributed data processing solutions using Apache Spark, Hadoop, Flink
• Develop and maintain Spark applications for data transformation, aggregation, and ETL processes using Scala, Java, or Python
• Utilize Apache Ozone for storing large-scale datasets, ensuring efficient data access and management in a distributed environment
• Manage and optimize HDFS and Apache Ozone, Kafka for scalable and fault-tolerant storage.
• Develop ETL pipelines for batch and real-time data ingestion and transformation.
• Implement and ensure data validation, data security, integrity, and compliance across big data platforms.
• Monitor and troubleshoot performance issues in large-scale clusters.
• Collaborate with data scientists, analysts, and application teams to deliver high-quality data solutions.
• Automate workflows and improve operational efficiency using scripting and orchestration tools.
Required Skills & Qualifications:
• Strong expertise in Apache Spark (Core, SQL, Streaming).
• Hands-on experience with Hadoop ecosystem (HDFS, YARN, MapReduce).
• Proficiency in Apache Ozone for object storage and integration with Hadoop.
• Solid programming skills in Java , Scala , or Python.
• Experience with Hive, HBase , and Kafka is a plus.
• Knowledge of cluster management and resource optimization.
• Familiarity with Linux/Unix environments and shell scripting.
• Understanding of data security, governance, and compliance standards.
• Experience with cloud-based big data platforms
• Exposure to containerization (Docker, Kubernetes) for big data workloads.
• Knowledge of CI/CD pipelines for data engineering projects.
Behavioral Skills:
• Good Communication skills
• 5 days Work from Office at Berkley Heights, NJ
• Team Player
• Ability to work in a changing environment
• Strong problem solving and analytical skills
• Ability to work independently or within a team
• Manage day-to-day challenges and communicate developmental risks with the technical team
Qualifications:
• Bachelor's degree in computer science, Software Engineering, or a related field.
• Proficiency in business process modeling and documentation tools.
• Product implementation experience is preferred

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