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Data Processing Assistant Jobs in Nevada (NOW HIRING)

Heritage Bank

Loan Assistant - Team Lead

Reno, NV · On-site

Input loan data into loan system for Commercial Loan Officers that provide term sheets and complete ... to processing. * Assist Commercial Loan Officers with FedEx of customer documents. * Notary ...

Glacier Bancorp

Loan Assistant - Team Lead

Reno, NV · On-site

Input loan data into loan system for Commercial Loan Officers that provide term sheets and complete ... to processing. * Assist Commercial Loan Officers with FedEx of customer documents. * Notary ...

Bally's Corporation

HR Generalist

Stateline, NV · On-site

... processing. * Assist with day-to-day HR functions to include employee/labor relations, recruitment, training, licensing, disciplinary action, performance management, data entry, filing, and ...

Bally's Corporation

HR Generalist

Stateline, NV · On-site

... processing. * Assist with day-to-day HR functions to include employee/labor relations, recruitment, training, licensing, disciplinary action, performance management, data entry, filing, and ...

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All JobsData Processing JobsData Processing Assistant JobsData Processing Assistant Jobs in Nevada

Data Processing Assistant information

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$35

How much do data processing assistant jobs pay per hour?

As of Sep 1, 2026, the average hourly pay for data processing assistant in Nevada is $20.64, according to ZipRecruiter salary data. Most workers in this role earn between $16.39 and $22.79 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 Nevada?

The most popular types of Data Processing jobs in Nevada are:

What are popular job titles related to Data Processing Assistant jobs in Nevada?

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

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

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

What cities in Nevada are hiring for Data Processing Assistant jobs?

Cities in Nevada with the most Data Processing Assistant job openings:

Data Processing Assistant jobs near you
Infographic showing various Data Processing Assistant job openings in Nevada 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 $42,925 per year, or $20.6 per hour.

Data and Automation Engineer - Python

Las Vegas, NV • On-site

Plum Inc
See more jobs at Plum Incexternal

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 24 days ago

Job description

About the Role

We're looking for an AI-Enabled Data & Automation Engineer who thrives on solving complex data challenges through software and automation. 

You'll be responsible for building scalable data pipelines, integrating data from multiple SaaS platforms, developing automation that powers lead generation and enrichment, and leveraging AI to dramatically accelerate development. You'll work with modern technologies including Python, Databricks, and LLM-powered tools to build solutions that directly impact business growth.

This role is ideal for someone who enjoys building, experimenting with new technologies, and continuously finding better and faster ways to solve problems.

Responsibilities
  • Design, build, and maintain scalable data pipelines for ingesting, processing, and enriching large datasets.
  • Develop Python-based automation for data collection, transformation, validation, and workflow orchestration.
  • Build and optimize data processing workflows using Databricks, PySpark, SQL, and Delta Lake.
  • Integrate and process data from multiple SaaS platforms through REST APIs and other integrations.
  • Develop scalable workflows for lead generation, company and contact enrichment, and sales intelligence.
  • Implement processes for data cleansing, deduplication, entity resolution, normalization, and contact/company matching.
  • Process structured, semi-structured, and JSON data from a variety of internal and external sources.
  • Collaborate with product, engineering, and go-to-market teams to translate business requirements into scalable technical solutions.
  • Identify opportunities to automate repetitive processes and improve operational efficiency.
  • Continuously evaluate and adopt new AI tools and technologies that improve development speed and data quality.

Requirements

Technical Skills
  • 3-7+ years of experience in Data Engineering, Marketing Operations, Sales Operations, or a related technical field.
  • Strong Python programming skills with experience in data processing, automation, and API integrations.
  • Experience with Databricks, PySpark, SQL, and Delta Lake.
  • Experience integrating and processing data from multiple SaaS platforms via APIs.
  • Strong understanding of lead enrichment, data quality, deduplication, entity resolution, and contact/company matching.
  • Experience working with structured, semi-structured, and JSON data.
  • Familiarity with Git and modern software development practices.
  • Undergraduate Degree in Computer Science, Engineering, Physics or other relevant degree
AI & Productivity
  • Heavy user of AI coding tools such as Cursor, Claude Code, GitHub Copilot, ChatGPT, or similar AI development assistants.
  • Demonstrated ability to leverage AI to accelerate software development, automate workflows, improve data quality, and increase productivity.
  • Comfortable rapidly prototyping, testing, and iterating using AI-assisted development.
Preferred Qualifications
  • Hands-on experience with lead generation and sales intelligence platforms such as Apollo, Clay, LinkedIn Sales Navigator, ZoomInfo, or similar tools.
  • Experience with CRM platforms such as Salesforce or HubSpot.
  • Familiarity with LLM APIs and AI-powered applications.
  • Experience working in fast-paced startup environments.
  • Strong communication skills with the ability to work cross-functionally and take ownership from concept through delivery.

Plum AI, Inc looks forward to applicants from US based candidates. We are not working with outside recruiters. We appreciate individual, not AI generated, applications. We may disqualify applicants who use AI in any part of the interview process.

Benefits

What We Offer:
  • A fast-paced, collaborative startup culture with high visibility.
  • Autonomy, flexibility, and a flat corporate structure that gives you the opportunity for your direct input to be realized and put into action. 
  • Opportunity to make a meaningful impact in building a company and culture. 
  • Equity in a financial technology startup. 
  • Generous health, dental, and vision coverage for employees and family members + 401K.
  • Eleven paid holidays and unlimited discretionary vacation days.
  • Competitive compensation and bonus potential.

Apply