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Entry Level Data Processing Jobs in Virginia (NOW HIRING)

Pattern Data

Software Engineer (Entry)

Richmond, VA

$90K - $115K/yr

... Data, you will: * Learn from the best - work alongside our Senior Engineers and CTO in the design, development and maintenance of our document processing systems and user-facing applications

Chenega MIOS

Data Transfer Agent

Springfield, VA · On-site

Communicate and provide training on new processes and procedures. * Capture and report DTO ... From entry-level employees to senior leaders, we believe theres always room to learn. We offer ...

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Entry Level Data Processing information

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

As of Jul 9, 2026, the average hourly pay for entry level data processing in Virginia is $17.55, according to ZipRecruiter salary data. Most workers in this role earn between $15.72 and $18.61 per hour, depending on experience, location, and employer.

How to data entry with no experience?

Entry level data processing jobs often require basic computer skills and attention to detail. To start without experience, consider taking free online courses on data entry tools like Excel or Google Sheets, and practice entering data to build accuracy and speed. Highlight any relevant skills or volunteer work in your resume to improve your chances of getting hired.

How can I make $2000 a week working from home?

Entry level data processing jobs can offer remote work opportunities that, with consistent effort and high productivity, potentially generate around $2000 weekly. Achieving this income typically requires processing large volumes of data, using tools like spreadsheets or data management software, and maintaining a steady schedule. Building skills in data entry, accuracy, and time management can help increase earning potential in this field.

What are the key skills and qualifications needed to thrive as an Entry Level Data Processing professional, and why are they important?

To thrive as an Entry Level Data Processing professional, you need strong attention to detail, basic data entry skills, and proficiency with spreadsheets or database software, typically supported by a high school diploma or equivalent. Familiarity with tools like Microsoft Excel, Google Sheets, and data management systems is often required. Organizational skills, reliability, and the ability to work accurately under deadlines are valuable soft skills in this role. These competencies help ensure accurate, efficient management of data and contribute to the overall integrity of business operations.

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

AspectEntry Level Data ProcessingData Entry Clerk
Required SkillsBasic data handling, software familiarityTyping, data input accuracy
CertificationsNone typically requiredNone typically required
Work EnvironmentOffice, remote optionsOffice, data centers
Industry UsageData management, analysis supportData input, record keeping

Entry Level Data Processing involves handling and preparing data for analysis, often requiring familiarity with data software. Data Entry Clerks focus on accurately inputting data into systems. While both roles require attention to detail, data processing may involve more technical skills, whereas data entry emphasizes speed and accuracy.

What are entry level data processing jobs?

Entry level data processing jobs involve handling, organizing, and entering data into computer systems or databases. These roles typically include responsibilities such as verifying data accuracy, updating records, and ensuring information is stored securely. No advanced technical skills are usually required, but attention to detail and basic computer proficiency are important. These positions often serve as a starting point for careers in data management, analysis, or IT.

Are there entry-level jobs at data centers?

Entry-level data processing jobs at data centers often include roles such as data technician or support associate, which typically require basic computer skills and attention to detail. These positions may involve tasks like data entry, system monitoring, and troubleshooting, and often offer on-the-job training for new employees.

What are some common challenges faced by entry-level data processing professionals, and how can they be addressed?

Entry-level data processing professionals often encounter challenges such as managing large volumes of data, maintaining data accuracy, and adapting to various software tools and platforms. It's important to develop strong attention to detail and effective time-management skills to ensure data is processed efficiently and accurately. Seeking guidance from more experienced team members, participating in training sessions, and staying updated on best practices can help new hires overcome these challenges and contribute successfully to the team.

How do I get into data processing?

To get into data processing as an entry-level role, develop skills in data management, Excel, and basic programming languages like Python or SQL. Gaining relevant certifications or completing online courses can improve your chances, and internships or entry-level positions provide practical experience in data handling environments.
What are the most commonly searched types of Data Processing jobs in Virginia? The most popular types of Data Processing jobs in Virginia are:
What are popular job titles related to Entry Level Data Processing jobs in Virginia? For Entry Level Data Processing jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Entry Level Data Processing jobs in Virginia look for? The top searched job categories for Entry Level Data Processing jobs in Virginia are:
Entry Level Data Processing jobs near you
Software Engineer (Entry)

Software Engineer (Entry)

Pattern Data

Richmond, VA

$90K - $115K/yr

Other

Re-posted 13 days ago

Job description

Who We Are

Pattern Data is an AI-powered platform built for the complexities of mass tort litigation. We help leading law firms automate case analysis, accelerate settlement decisions, and manage high-volume inventories that were traditionally manual and time-intensive.

The problems we work on are complex and high-stakes, requiring precision, adaptability, and a deep understanding of both data and client needs.

We're a collaborative, high-ownership team that moves quickly and takes pride in solving hard problems well. People at Pattern go deep to understand the "why," build solutions that hold up, and stay focused on what drives real outcomes for our customers. We value transparency, thoughtful problem-solving, and authenticity in how we work together and we're looking for someone who's excited to contribute to a team that's actively building and improving every day.

What You'll Do

As a Software Engineer at Pattern Data, you will:

  • Learn from the best - work alongside our Senior Engineers and CTO in the design, development and maintenance of our document processing systems and user-facing applications
  • Proactively tackle assigned tasks and projects, ensuring timely completion on deliverables
  • Develop front-end components using React and Typescript
  • Support back-end development using Scala
  • Be a pioneer in the legaltech industry. You'll collaborate with our product, analytics, and engineering teams to build well-designed and scalable solutions that meet the needs of our users
  • Write clean, maintainable, and well-tested code 

Our core stack of technologies:

  • Scala, TypeScript, PostgresQL, GraphQL, Elasticsearch, AWS

What You'll Bring

  • Bachelor's degree in Computer Science, a related technical discipline, or related practical experience
  • Project experience working fullstack; internship experience on a small team is a plus
  • Curiosity to solve deep problems with strong attention to detail
  • Unafraid to ask questions - you're an excellent communicator with strong collaboration skills
  • Eagerness and quick to learn and adapt to new technologies and tools
  • Ability to work a hybrid schedule in our Richmond, VA office

Ready to meet us?

Please apply directly through our website or Linkedin. We are excited to hear from you!

Pay Transparency Disclosure

The estimated base salary range for this role is $90,000-$115,000 per year, plus bonus and benefits.

At Pattern Data, our compensation philosophy is built around fairness, transparency, and market alignment. Base salary represents just one part of our total compensation package, which also includes performance-based incentives, comprehensive benefits, and other rewards.

Final compensation will be determined based on several factors, including skills, experience, qualifications, geographical location and internal equity across the team.

We understand that exceptional candidates bring unique backgrounds and strengths.  If the scope of the role changes during the hiring process, we'll update and communicate any adjusted range accordingly.

Pattern Data is committed to pay equity and to maintaining competitive, transparent compensation practices across all roles and teams.

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