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Data Processing Assistant Jobs in New York (NOW HIRING)

Mondo

Data Engineer

Manhattan, NY · On-site

$65 - $72/hr

Key Responsibilities: 1. Data Pipeline Development: a. Assist in the design, development, and maintenance of scalable data pipelines to process and integrate data from various sources. b. Implement ...

1 point system

Data Scientist(Analyst)

New York, NY · Remote

... * Assist with internal investigations, litigation, and regulatory matters by identifying ... Process and manipulate large datasets for eDiscovery, including filtering, deduplication, and data ...

PortPro

Data Scientist

New York, NY · Remote

These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed ...

Unchain Data

Data Scientist, Product

Manhattan, NY · On-site

$179 - $210/hr

Partner closely with Product, Engineering, Operations, and other multi-functional teams to integrate data-driven decision-making into product and business processes. * Assist with established methods ...

PortPro

Data Scientist

New York, NY · On-site +1

These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed ...

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All JobsData Processing JobsData Processing Assistant JobsData Processing Assistant Jobs in New York

Data Processing Assistant information

See New York salary details

$13

$22

$38

How much do data processing assistant jobs pay per hour?

As of Aug 10, 2026, the average hourly pay for data processing assistant in New York is $22.17, according to ZipRecruiter salary data. Most workers in this role earn between $17.60 and $24.47 per hour, depending on experience, location, and employer.

What is the salary of data processing assistant grade a grade?

The salary of a Data Processing Assistant Grade A typically ranges from $30,000 to $45,000 annually, depending on the country, experience, and government or organizational pay scales. Entry-level positions may start at the lower end, with potential for increases based on performance and tenure.

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 are the most commonly searched types of Data Processing jobs in New York? The most popular types of Data Processing jobs in New York are:
What cities in New York are hiring for Data Processing Assistant jobs? Cities in New York with the most Data Processing Assistant job openings:
Data Processing Assistant jobs near you
Infographic showing various Data Processing Assistant job openings in New York as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 14% Part Time, 1% Temporary, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $46,117 per year, or $22.2 per hour.

Senior Solutions Architect, Data Platform GTM

Nvidia

New York, NY

Full-time

Re-posted 16 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

8th of 242 rated software companies

Job description

NVIDIA is seeking outstanding AI Solutions Architects to assist and support customers that are building solutions with our newest AI technology. At NVIDIA, our solutions architects work across different teams and enjoy helping customers with the latest Accelerated Data Analytics and Deep Learning software and hardware platforms. We're looking to grow our company, and build our teams with the smartest people in the world. Would you like to join us at the forefront of technological advancement?

This role will focus on helping ISVs understand, adopt, and commercialize NVIDIA acceleration technologies across structured data processing, analytics, unstructured data, retrieval, and agentic AI workflows. This role is an excellent opportunity to work in an interdisciplinary team at NVIDIA! You will partner closely with ISVs, product, engineering, developer relations, business development, sales, and segment teams to identify high-impact use cases, develop early POCs and build repeatable enablement.

What You Will Be Doing:

  • Drive technical GTM with Data Platform ISVs across query engines, databases, analytics platforms, data processing frameworks, and AI data infrastructure.

  • Partner with ISVs on discovery, architecture reviews, technical deep dives, POCs, benchmarks, demos, and customer-facing enablement

  • Help ISVs identify the right NVIDIA acceleration paths for their platforms and use cases, including cuDF, Spark RAPIDS, Polars, Velox, cuVS, and related NVIDIA libraries

  • Build repeatable GTM assets such as reference architectures, technical playbooks, demos, blogs, talks, and customer training

  • Support emerging data platform use cases for GenAI, including unstructured data processing, RAG pipelines, data preparation, and retrieval workflows

  • Travel up to 20% for conferences and customers may be required

What We Need To See:

  • BS, MS, or PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, other Engineering or related fields (or equivalent experience)

  • 8+ years of hands-on experience with Machine Learning, Deep Learning and Data Analytics

  • Strong background in data platforms, distributed systems, analytics, databases, or systems for managing and processing data

  • Familiarity with data ecosystems such as Spark, Pandas, Polars, DuckDB, Trino, Presto, Velox, vector databases, or unstructured data pipelines

  • Experience working with ISVs, partners, or enterprise customers in a solutions architecture or field engineering role

  • Excellent presentation, communication and collaboration skills

Ways To Stand Out From The Crowd:

  • Hands-on experience with NVIDIA GPUs and software libraries, such as NeMo Retriever, cuVS, RAPIDS and cuDF

  • Background in RAG, agentic AI, unstructured data processing, or inference and data platform integration

  • Excellent C/C++ programming skills, including debugging, profiling, code optimization, performance analysis, and test design

  • Familiarity with parallel programming and distributed computing platforms

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until June 28, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Nvidia logo

About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993

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