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Data Processing Jobs in Jackson, MS (NOW HIRING)

Data Center Manager

Canton, MS · On-site

$142K/yr

... process, technology innovation and automation - Manage Large Scale Events (outages) and act as the call leader - Manage and improve the work-flows and through-put for data centers operations ...

Data Center Manager

Canton, MS · On-site

$142K/yr

... process, technology innovation and automation - Manage Large Scale Events (outages) and act as the call leader - Manage and improve the work-flows and through-put for data centers operations ...

Data Center Manager

Canton, MS · On-site

$142K/yr

... process, technology innovation and automation - Manage Large Scale Events (outages) and act as the call leader - Manage and improve the work-flows and through-put for data centers operations ...

DATA ANALYST

Jackson, MS · On-site

$55/hr

Data Analyst Location : Jackson, Mississippi - Fully Onsite Only Locals $55/hr on W2 Client : State of Mississippi USC/GC/H4 EAD Please do not Apply outside Mississippi - it will rejected We dont ...

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Data Processing information

See Jackson, MS salary details

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How much do data processing jobs pay per hour?

As of Jul 15, 2026, the average hourly pay for data processing in Jackson, MS is $17.66, according to ZipRecruiter salary data. Most workers in this role earn between $14.04 and $19.47 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Data Processing position, and why are they important?

To thrive in Data Processing, you need strong analytical abilities, attention to detail, and proficiency with spreadsheets and database management, often supported by an associate's degree or relevant experience. Familiarity with tools like Microsoft Excel, SQL, or data entry software, as well as certifications such as Certified Data Processor (CDP), are frequently expected. Strong organizational skills, time management, and the ability to troubleshoot problems efficiently are valued soft skills. These competencies are crucial for ensuring data accuracy, meeting deadlines, and supporting smooth information operations within an organization.

What is a data processing job role?

A data processing job involves collecting, organizing, and converting raw data into a usable format for analysis or reporting. It often requires skills in data management tools, attention to detail, and knowledge of data formats and software such as Excel, SQL, or specialized processing programs.

What are the typical daily responsibilities of someone working in Data Processing?

A typical day for a Data Processing professional involves entering, validating, and updating records in databases or spreadsheets to ensure data integrity. You may also be responsible for generating reports, cleaning large data sets, and identifying discrepancies or errors for correction. Collaboration with team members or departments is common to clarify data requirements and resolve issues. Staying organized and attentive to detail is essential because the quality of processed data can impact decision-making across the organization.

What is a Data Processing job?

A Data Processing job involves collecting, organizing, and managing data to ensure accuracy and accessibility. Professionals in this role use software tools to input, clean, analyze, and process data for businesses or organizations. They may also generate reports and automate workflows to streamline data handling. Strong attention to detail and proficiency in data management tools are essential for success in this field.

Is AI replacing data entry jobs?

AI is automating many data entry tasks by using machine learning and optical character recognition, which can increase efficiency and reduce manual labor. However, data processing jobs still require human oversight for complex or unstructured data, and roles involving data validation, analysis, and management remain essential. Professionals in data processing should develop skills in AI tools and data management to stay relevant.

What is the highest paying job in data?

In data-related fields, roles such as Data Science Director, Chief Data Officer, or Senior Data Architect tend to have the highest salaries, often exceeding six figures annually. These positions typically require advanced skills in data analysis, machine learning, and leadership, along with extensive experience and relevant certifications.
What are the most commonly searched types of Data Processing jobs in Jackson, MS? The most popular types of Data Processing jobs in Jackson, MS are:
What are popular job titles related to Data Processing jobs in Jackson, MS? For Data Processing jobs in Jackson, MS, the most frequently searched job titles are:
What job categories do people searching Data Processing jobs in Jackson, MS look for? The top searched job categories for Data Processing jobs in Jackson, MS are:
Infographic showing various Data Processing job openings in Jackson, MS as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $36,733 per year, or $17.7 per hour.
Data Engineering Cooperative Education Intern

Data Engineering Cooperative Education Intern

Southern Farm Bureau Life Insurance Co

Jackson, MS

$14.50 - $18.75/hr

Full-time

Medical, Life, Retirement, PTO

Posted yesterday

New


Job description

Job Opportunity: Data Engineer Intern (Cooperative Education) at Southern Farm Bureau Life Insurance Company

Company Overview: Southern Farm Bureau Life Insurance is a leading provider of life insurance and financial services. We are committed to serving our policyholders and communities with integrity and excellence. As a Data Engineer intern, you’ll be an essential part of our team, contributing to the success of our organization.

Location: Jackson, MS

Role and Responsibilities: The Data Engineering Intern supports SFBLIC's data modernization efforts by helping prepare, organize, and maintain data used for reporting, analytics, and business decision-making. The intern will work with experienced data engineers to learn how data moves from source systems into trusted data products and will help ensure data is accurate, reliable, and easy to use.

 

Your responsibilities will include:

  • Assist with building and maintaining data pipelines that move data between systems.
  • Help monitor data processes and report issues affecting data quality or availability.
  • Support data validation, testing, and documentation activities.
  • Work with data engineers, analysts, and business teams to understand data needs and support reporting solutions.
  • Assist in creating and documenting datasets, metadata, and business definitions.
  • Gain exposure to cloud data platforms, reporting tools, and emerging AI-related data use cases

Qualifications:

  • Pursuing a BS Undergraduate in Computer Science, Math, Information Systems, Data Science or Statistics.
  • Maintain a minimum 3.0 GPA
  • Working knowledge of Python and SQL.
  • Good interpersonal and communication skills
  • Driven, Curious, and takes initiative to contribute beyond assigned tasks

Employee Benefits: We value our employees’ well-being and offer a comprehensive benefits package:

  1. Health Insurance:
    • Comprehensive coverage for employees and their families.
    • Access to an onsite clinic, preventive care, and prescription drugs.
    • Mental health coverage and an Employee Assistance Program.
  2. Active Lifestyle Rewards Program:
    • Incentives for maintaining an active lifestyle.
    • Rewards for participating in fitness challenges and wellness activities.
  3. Weight Management Programs:
    • Customized weight management plans.
    • Support for achieving and maintaining a healthy weight.
  4. Employee Engagement:
    • Opportunities to connect with colleagues.
    • Fun teambuilding activities.
  5. Annual events for employees and their families
    • Company Picnic, Thanksgiving lunch, Christmas Reception.
    • Family Fun Night
  6. Onsite Cafe:
    • Convenient access to nutritious meals.
    • Promoting healthy eating habits.
  7. Learning & Development:
    • Continuous learning opportunities.
    • Tuition reimbursement for further education.
  8. Mentorship Programs:
    • Pairing employees with mentors.
    • Professional growth and guidance.
  9. Promotional Opportunities:
    • Advancement within the company.
    • Career growth prospects.
  10. Life Insurance and Company-Funded Pension:
    • Financial security for employees and beneficiaries.
    • Retirement planning.
  11. Volunteer Days:
    • Paid time off for volunteering.
    • Contributing to the community.