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Entry Level Data Processing Jobs in New Jersey (NOW HIRING)

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate Job Description & Summary The Opportunity As a Data Engineer - Senior Associate, you will focus on

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Textile Product Specialist

Lodi, NJ · On-site

$22 - $25/hr

Mood Fabrics is seeking a highly organized and detail-oriented Textile Product Specialist to support the management and launch of new products on our website. This role is ideal for someone with

Salary: $22-$25 Textile Product Specialist Location: Lodi, NJ Position Type: Full-Time, On-Site Mood Fabrics is seeking a highly organized and detail-oriented Textile Product Specialist to support

Textile Product Specialist Location: Lodi, NJ Position Type: Full-Time, On-Site Mood Fabrics is seeking a highly organized and detail-oriented Textile Product Specialist to support the management and

Company Description Hadronts put great efforts to make technology smoothly integrate with your business can grow. As your technology partner we utilize our great experience and expertise in industry

At Thorlabs, we design and manufacture components, instruments, and systems that transform the world by identifying, enabling, and accelerating key photonics (i.e., light-based) technologies. Backed

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Entry Level Data Processing information

See New Jersey salary details

$12

$17

$24

How much do entry level data processing jobs pay per hour?

As of Aug 5, 2026, the average hourly pay for entry level data processing in New Jersey is $17.97, according to ZipRecruiter salary data. Most workers in this role earn between $16.11 and $19.04 per hour, depending on experience, location, and employer.

How do I get into entry level data processing?

To enter an entry-level data processing role, candidates typically need a high school diploma or equivalent, basic computer skills, and familiarity with data management tools like Excel or database software. Gaining knowledge of data entry, cleaning, and processing techniques, along with some understanding of programming languages such as SQL or Python, can improve job prospects. Internships or certifications in data management can also provide valuable experience for beginners.

What are the key skills and qualifications needed to thrive as an entry level data processing professional, and why are they important?

To thrive as an Entry Level Data Processing professional, you need strong attention to detail, basic data entry skills, and proficiency with spreadsheets or database software, typically supported by a high school diploma or equivalent. Familiarity with tools like Microsoft Excel, Google Sheets, and data management systems is often required. Organizational skills, reliability, and the ability to work accurately under deadlines are valuable soft skills in this role. These competencies help ensure accurate, efficient management of data and contribute to the overall integrity of business operations.

What is the difference between Entry Level Data Processing vs Data Entry Clerk?

AspectEntry Level Data ProcessingData Entry Clerk
Required SkillsBasic data handling, software familiarityTyping, data input accuracy
CertificationsNone typically requiredNone typically required
Work EnvironmentOffice, remote optionsOffice, data centers
Industry UsageData management, analysis supportData input, record keeping

Entry Level Data Processing involves handling and preparing data for analysis, often requiring familiarity with data software. Data Entry Clerks focus on accurately inputting data into systems. While both roles require attention to detail, data processing may involve more technical skills, whereas data entry emphasizes speed and accuracy.

What is an entry level data processing job?

Entry level data processing jobs involve handling, organizing, and entering data into computer systems or databases. These roles typically include responsibilities such as verifying data accuracy, updating records, and ensuring information is stored securely. No advanced technical skills are usually required, but attention to detail and basic computer proficiency are important. These positions often serve as a starting point for careers in data management, analysis, or IT.

What are some common challenges faced by entry level data processing professionals, and how can they be addressed?

Entry-level data processing professionals often encounter challenges such as managing large volumes of data, maintaining data accuracy, and adapting to various software tools and platforms. It's important to develop strong attention to detail and effective time-management skills to ensure data is processed efficiently and accurately. Seeking guidance from more experienced team members, participating in training sessions, and staying updated on best practices can help new hires overcome these challenges and contribute successfully to the team.
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 Entry Level Data Processing jobs in New Jersey? For Entry Level Data Processing jobs in New Jersey, the most frequently searched job titles are:
Infographic showing various Entry Level Data Processing job openings in New Jersey as of July 2026, with employment types broken down into 1% As Needed, 87% Full Time, 9% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $37,381 per year, or $18 per hour.

Data Engineer - Senior Associate

Pwc

Florham Park, NJ

$77K - $202K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted yesterday


PwC rating

8.3

Company rating: 8.3 out of 10

Based on 76 frontline employees who took The Breakroom Quiz

25th of 72 rated business consultants


Job description

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Senior Associate

Job Description & Summary

The Opportunity
As a Data Engineer - Senior Associate, 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 implementing data pipelines, data integration, and data transformation solutions. As a Senior Associate, you will build meaningful client connections and learn how to manage and inspire others. You will navigate increasingly complex situations, grow your personal brand, and deepen your technical skills. You are expected to anticipate the needs of your teams and clients, and to deliver quality work. Embracing increased ambiguity, you will be comfortable when the path forward isn't clear, using these moments as opportunities to grow.
In this role within our Technology Consulting practice, you will leverage advanced technologies and techniques to design and develop robust data solutions for clients. You will transform raw data into actionable insights, enabling informed decision-making and driving business growth. By using a broad range of tools, methodologies, and techniques, you will generate new ideas and solve problems, contributing to the overall strategy and objectives of your projects. This position offers a chance to develop a deeper understanding of the business context and how it is evolving.
Responsibilities
- Designing and implementing data infrastructure and systems to facilitate efficient data processing and analysis
- Developing and maintaining data pipelines, integration, and transformation solutions to support client needs
- Utilizing Amazon Web Services (AWS) and Azure Data Factory to enhance data engineering capabilities
- Applying data architecture development and database management skills to optimize data solutions
- Leveraging Apache Airflow and Apache Hadoop for scalable data processing and workflow management
- Building and managing data lakes and warehouses to support large-scale data storage and retrieval
- Confirming data quality and validation through rigorous testing and performance tuning
- Collaborating with clients to understand their data requirements and deliver actionable insights
- Utilizing Databricks Unified Data Analytics Platform for advanced data analytics and visualization
- Implementing data security best practices to protect sensitive information and maintain compliance
- Applying dimensional modeling and directed acyclic graphs (DAGs) for efficient data organization and processing
- Supporting the development of data strategies to drive business growth and informed decision-making
What You Must Have
- At least a Bachelor's degree
- At least 2 years of experience
What Sets You Apart
- Preference for at least one of the following fields of study: Management Information Systems, Computer and Information Science, Systems Engineering, Electrical Engineering, Chemical Engineering, Industrial Engineering, Mathematics, Statistics, Mathematical Statistics
- Demonstrating proficiency in data engineering platforms like Databricks
- Utilizing cloud platforms such as AWS and Microsoft Azure
- Excelling in data architecture development and data modeling
- Implementing data pipeline and data integration strategies
- Navigating complex data environments with Apache Hadoop and Airflow
- Applying critical thinking to solve data-related challenges

Travel Requirements

Up to 60%

Job Posting End Date

The salary range for this position is: $77,000 - $202,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glanceAs PwC is anequal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.Learn more about how we work: https://pwc.to/how-we-workFor only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines

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