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Entry Level Data Processor Jobs (NOW HIRING)

Data Engineer

Huntsville, AL · On-site

$60K - $90K/yr

... processes, operations, and systems, with a focus on maximizing the impact of the organization ... Responsibilities We are seeking an entry-level Data Engineer to join our practice with a dedicated ...

Data Engineer

Huntsville, AL · On-site

$80 - $110/hr

... processes, operations, and systems, with a focus on maximizing the impact of the organization ... Responsibilities We are seeking an entry-level Data Engineer to join our practice with a dedicated ...

Data Engineer

Huntsville, AL

$106K - $128K/yr

... processes, operations, and systems, with a focus on maximizing the impact of the organization ... Responsibilities We are seeking an entry-level Data Engineer to join our practice with a dedicated ...

This is an entry level Data Scientist Role for a person who is self motivated and has a passion to ... processes that improve and lead to greater data quality • Conducting statistical analyses to ...

... entry-level Data Analyst to support enterprise asset data management initiatives. This role will ... Process and maintain large volumes of data while ensuring accuracy and completeness. * Identify and ...

Our entry level Data Center Cabling Technicians perform skilled infrastructure/structured cabling ... Document work performed and observations as part of the learning and evaluation process This is ...

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Entry Level Data Processor information

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$12

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$24

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

As of Sep 6, 2026, the average hourly pay for entry level data processor in the United States is $17.70, according to ZipRecruiter salary data. Most workers in this role earn between $15.87 and $18.75 per hour, depending on experience, location, and employer.

What does an entry level data processor do?

An Entry Level Data Processor is responsible for entering, updating, and maintaining various types of data in computer systems or databases. Their tasks often include verifying the accuracy of data, sorting and organizing information, and ensuring data integrity. They may also assist with generating reports and supporting other team members with basic data-related tasks. This role typically requires attention to detail, basic computer skills, and the ability to follow instructions. Entry level positions usually provide training on specific company software and data handling procedures.

What skills and qualifications are needed to thrive as an entry level data processor?

To thrive as an Entry Level Data Processor, you need strong attention to detail, basic data entry skills, and familiarity with spreadsheets or database software, typically requiring at least a high school diploma. Proficiency in Microsoft Excel, Google Sheets, and sometimes data management systems like SQL or CRM platforms is commonly expected. Organizational skills, reliability, and the ability to work accurately under deadlines are key soft skills for this role. These competencies ensure data accuracy, efficient workflow, and reliable support for business operations.

What are some common challenges entry level data processors face when starting out?

Entry Level Data Processors often encounter challenges such as learning to manage large volumes of data accurately and efficiently under tight deadlines. Adjusting to various data management software and understanding specific formatting or validation rules can also take some time. Additionally, maintaining attention to detail while performing repetitive tasks is crucial to avoid errors. Most teams provide onboarding and training to help new hires acclimate, and support from supervisors and peers is typically available to address any issues that arise.

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

AspectEntry Level Data ProcessorData Entry Clerk
Required SkillsBasic data processing, attention to detailTyping, data entry, accuracy
CertificationsNone typically required, familiarity with data software helpfulNone typically required
Work EnvironmentOffice, data centers, remote optionsOffice, administrative settings
Industry UsageData management, IT, financeAdministrative, clerical tasks

While both roles involve handling data, Entry Level Data Processors focus on processing and managing data sets, often using specialized software, whereas Data Entry Clerks primarily input data accurately into systems. The roles overlap in skills and work environment but differ in scope and responsibilities.

What cities are hiring for Entry Level Data Processor jobs?

Cities with the most Entry Level Data Processor job openings:

What are the most commonly searched types of Data Processor jobs?

The most popular types of Data Processor jobs are:

What states have the most Entry Level Data Processor jobs?

States with the most job openings for Entry Level Data Processor jobs include:

Infographic showing various Entry Level Data Processor job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $36,820 per year, or $17.7 per hour.

Jr. Data Scientist 00021

West Coast Consulting LLC

Westbrook, ME • On-site

Other

Medical, Life

Re-posted 29 days ago


Job description

Job Description
Hybrid -Westbrook, ME
Job Description:
The Machine Intelligence team in R&D is looking for an entry-level Data Scientist to develop machine learning solutions for the hematology analyzers. In this role, you will work on classification and clustering problems on tabular data, with solutions deployed on edge hardware in our analyzer platforms. You will work under the supervision of a senior data scientist who will guide your technical development and project execution. We are looking for a curious, adaptable team player eager to build foundational skills in applied machine learning.
What you can expect:
Develop classification and clustering models on tabular data to support hematology analyzer capabilities
Contribute to model development, evaluation, and iteration under the guidance of a senior data scientist
Partner with senior team members to understand requirements, explore data, and validate model performance
Document your work clearly so it can be reviewed, reproduced, and built upon by the team
Deploy your solutions to edge hardware
What you need to succeed:
0-2 years of experience applying machine learning to real-world problems (internships, research, and coursework projects count)
Strong working knowledge of Python and common data science libraries (pandas, scikit-learn, NumPy)
Solid foundation in statistics, machine learning, and algorithms
Demonstrated understanding of classification and clustering methods for tabular data, including when to apply which approach and how to evaluate results
Curiosity about the data and the underlying generating processes - a habit of asking "why" before reaching for a model
A growth mindset and willingness to learn from more senior team members
Ability to communicate analyses and results clearly to your immediate team
Bachelor's degree in a quantitative field (statistics, computer science, math, engineering, or related); advanced degree a plus
Nice to have:
Exposure to deploying ML models on resource-constrained or edge hardware
Familiarity with model optimization techniques (quantization, ONNX, TFLite)
Experience with version control (Git) and collaborative software development practices
Experience modeling data for medical, diagnostic or life sciences applications