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Data Processing Assistant Jobs in New Jersey (NOW HIRING)

AI-based development for data workflows, data wrangling, and code-assist Preferred Skills: * Experience with Informatica IDMC * Experience with GenAI and Natural Language Processing (NLP) frameworks

Senior Data Engineer

Beverly, NJ · On-site

$102K - $139K/yr

AI-based development for data workflows, data wrangling, and code-assist Preferred Skills: * Experience with Informatica IDMC * Experience with GenAI and Natural Language Processing (NLP) frameworks

Administrative Assistant

Newark, NJ · On-site

$18.75 - $25.25/hr

... data, and tabular information from rough drafts, corrected copies, or previous versions. Proofread ... Support printing and word processing. Assist HR with onboarding. Mail Responsibilities UPS/USPS ...

Data Support Sr. Analyst

Jersey City, NJ · On-site

$89K - $113K/yr

Implement effective risk controls of our data processes and systems. Participate in user acceptance ... Oversee and assist in managing GRM's data commitments to internal and external parties, monitor ...

Showing results 41-60

Data Processing Assistant information

See New Jersey salary details

$12

$20

$35

How much do data processing assistant jobs pay per hour?

As of Sep 8, 2026, the average hourly pay for data processing assistant 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 are the key skills and qualifications needed to thrive as a data processing assistant?

To thrive as a Data Processing Assistant, you need strong data entry skills, attention to detail, and a high school diploma or equivalent. Familiarity with spreadsheet software like Microsoft Excel, database management systems, and sometimes basic knowledge of data processing software is typically required. Excellent organizational abilities, time management, and the capacity to maintain confidentiality set top performers apart. These skills ensure accurate, efficient handling of sensitive information, directly supporting effective business operations.

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

Data Processing Assistants often encounter challenges such as managing large volumes of data with tight deadlines and ensuring the accuracy of information being entered or processed. To address these issues, it's important to develop strong organizational habits, regularly double-check work for errors, and leverage available software tools to automate repetitive tasks. Collaborating closely with data analysts, supervisors, and IT team members can also help resolve discrepancies quickly and maintain data integrity.

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

AspectData Processing AssistantData Entry Clerk
Required CredentialsHigh school diploma; some roles may prefer certifications in data managementHigh school diploma; basic computer skills
Work EnvironmentOffice settings, data centers, or remoteOffice environments, primarily in administrative settings
Employer & Industry UsageBusinesses, government agencies, healthcare, financeAdministrative offices, retail, healthcare, government
Common Search & ComparisonOften compared for data handling tasks, technical skillsCompared for basic data input, administrative support

The main difference is that Data Processing Assistants handle more complex data management tasks, often involving data validation and processing, while Data Entry Clerks focus primarily on inputting data accurately. Both roles are essential in data-related workflows but differ in scope and technical requirements.

What does a data processing assistant do?

A data processing assistant is responsible for collecting, organizing, and verifying data to ensure accuracy and completeness. They often use software tools like spreadsheets or database systems and may perform tasks such as data entry, cleaning, and formatting to support data analysis and reporting.

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 Assistant jobs in New Jersey?

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

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

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

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

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

Infographic showing various Data Processing Assistant job openings in New Jersey as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $42,795 per year, or $20.6 per hour.

Software Engineer III: Data Engineer

Next Frontier Capital

Jersey City, NJ • On-site

$150 - $200/hr

Other

Medical, Retirement

Posted 7 days ago


Job description

Be part of a dynamic team where your distinctive skills will contribute to a winning culture and team.

As a Data Engineer III at JPMorgan Chase within the Consumer & Community Banking Connected Commerce – Banking Payments organization, you serve as a seasoned member of an agile team responsible for designing and delivering trusted data collection, storage, access, and analytics solutions in a secure, stable, and scalable manner. You develop, test, and maintain critical data pipelines and data architectures across multiple technical domains and business functions, ensuring high-quality, reliable data capabilities that support and advance the firm’s strategic business objectives.

Job responsibilities
  • Supports review of controls to ensure sufficient protection of enterprise data
  • Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems .
  • Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems.
  • Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development.
  • Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems.
  • Proactively identifies hidden problems, patterns in data, and uses these insights to drive improvements to coding hygiene and system architecture.
  • Contributes to software engineering communities of practice and events that explore new and emerging technologies
  • Updates logical or physical data models based on new use cases
  • Frequently uses SQL and understands NoSQL databases and their niche in the marketplace
  • Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards; contributes learnings and reusable patterns to improve broader team effectiveness.
  • Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.
Required qualifications, capabilities, and skills
  • Formal training or certification on Software Engineering concepts and 3+ years applied experience
  • Working understanding of NoSQL databases with Advanced at SQL (e.g., joins and aggregations)
  • Experience with statistical data analysis and ability to determine appropriate tools and data patterns to perform analysis
  • Experience in ETL process/Advance concepts
  • Hands-on practical experience in system design, application development, testing, and operational stability
  • Experience in AWS, design, implementation, and maintenance of data pipelines using Python and PySpark (secondary alternative: Java)
  • Experience in performance and tuning to ensure jobs are running at optimal levels and no performance bottleneck
  • Proficiency in Unix scripting, data structures, data serialization formats such as JSON, AVRO, Protobuf, or similar, big-data storage formats such as Parquet, Iceberg, or similar, data processing methodologies such as batch, micro-batching, or stream, one or more data modelling techniques such as Dimensional, Data Vault, Kimball, Inmon, etc., Agile methodology, TDD or BDD and CI/CD tools
  • Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, test creation, troubleshooting, or documentation) with demonstrated ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security.
  • Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; ability to guide peers on safe and effective usage within team practices.
Preferred qualifications, capabilities, and skills
  • Python Advance development skills / Kafka & S3 integration in Performance optimization, Lambda, ECS, EKS, Kinesis, CloudWatch
  • Experience in carrying out data analysis to support business insights
  • Strong in PySpark, AWS, Terraform & Snowflake, GitHub Copilot, Airflow, Kubernetes

Chase is a leading financial services firm, helping nearly half of America’s households and small businesses achieve their financial goals through a broad range of financial products.

Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

Equal Opportunity Employer/Disability/Veterans

Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We’re proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions – all while ranking first in customer satisfaction. Design, test, and maintain critical data pipelines and systems that power reliable, scalable solutions across diverse technical domains

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