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Basic Data Entry Jobs in Virginia (NOW HIRING)

Admixture Pharmacy Technician

Roanoke, VA ยท On-site

$17.25 - $20.75/hr

Provide support across the medication use continuum including label preparation, documentation perform basic data entry and pre-billing review, and order medications and supplies as directed ...

Warehouse Project Specialist

Richmond, VA ยท On-site

$20 - $21.44/hr

This role involves reboxing files, indexing, and basic data entry in an office setting. It is a physical job that requires moving boxes, organizing files, and working at a steady pace to meet daily ...

Performs basic data entry and documentation tasks * Works with technicians and project teams to support project execution * Participates in field and laboratory workflows to gain practical experience

Performs basic data entry and documentation tasks * Works with technicians and project teams to support project execution * Participates in field and laboratory workflows to gain practical experience

Showing results 21-40

Basic Data Entry information

See Virginia salary details

$11

$26

$45

How much do basic data entry jobs pay per hour?

As of Sep 13, 2026, the average hourly pay for basic data entry in Virginia is $26.77, according to ZipRecruiter salary data. Most workers in this role earn between $17.07 and $32.74 per hour, depending on experience, location, and employer.

What is the difference between Basic Data Entry vs Data Entry Clerk?

AspectBasic Data EntryData Entry Clerk
CredentialsHigh school diploma or equivalentHigh school diploma or equivalent, sometimes additional certifications
Work EnvironmentOffice, remote, or online platformsOffice settings, data centers, or remote
Job ResponsibilitiesInputting basic data, simple tasksInputting, verifying, and managing data, often with more complex tasks
Industry UsageCommon in administrative and clerical rolesWidely used in administrative, healthcare, finance, and retail sectors

Basic Data Entry typically involves simple, straightforward data input tasks with minimal training, while Data Entry Clerks often handle more detailed data management and verification. Both roles require similar credentials but differ in complexity and scope of work.

How do I start basic data entry for beginners?

To start basic data entry, beginners should learn how to use common tools like Microsoft Excel or Google Sheets, develop strong attention to detail, and practice typing skills to improve speed and accuracy. Entry-level positions often require a high school diploma or equivalent and may involve completing simple training or tutorials to familiarize with data management tasks.

How to get basic data entry jobs for beginners?

To get basic data entry jobs as a beginner, focus on developing typing skills, attention to detail, and familiarity with spreadsheet or database software. Look for entry-level positions on job boards, create a simple resume highlighting relevant skills, and consider taking online courses to improve your proficiency with tools like Excel or Google Sheets.

What is a basic data entry job for beginners?

A basic data entry job for beginners involves inputting information into digital systems, such as spreadsheets or databases, often requiring skills in typing, attention to detail, and familiarity with office software. These roles typically offer flexible schedules and do not require advanced technical skills or certifications.
Infographic showing various Basic Data Entry job openings in Virginia as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 15% Part Time, 3% Contract, and 1% Nights. Highlights an 84% Physical, 1% Hybrid, and 15% Remote job distribution, with an average salary of $55,683 per year, or $26.8 per hour.

Data Engineer Analyst (WDP)

Chantilly, VA โ€ข On-site

Bespoke Technologies, Inc
Recruiting and Staffing Servicesย โ€ขย 11 - 50 employees

Full-time

Re-posted 7 days ago


Job description

BT-156 - Data Engineer Analyst (WDP)
Skill Level: Entry/Junior
Location: Chantilly/Herndon
**MUST HAVE AN ACTIVE TS OR TS/SCI CLEARANCE TO APPLY. Those without an active security clearance will not be considered.**
Role Description:
This is an entry-level opportunity to begin your career as a Data Engineer. As a Junior Analyst, you will learn the fundamentals of building and maintaining large-scale data pipelines on a government data platform. You will work alongside senior engineers, assisting with development, monitoring systems, and helping to ensure the quality and reliability of our data. This role is ideal for a motivated individual with a foundational understanding of data concepts and a strong desire to learn and grow.
Responsibilities:
  • Assist senior engineers in the development and maintenance of data pipelines.
  • Support the operations of existing pipelines by monitoring their performance and responding to alerts under supervision.
  • Execute pre-defined scripts and processes for data ingestion and transformation.
  • Help run data quality checks and document the results.
  • Participate in team meetings and Agile/Scrum ceremonies, learning the development lifecycle.
  • Contribute to the creation and upkeep of technical documentation for data processes.

Required Qualifications:
  • 0-2 years of experience or relevant internship experience in a technical or data-related field.
  • A Bachelor's degree in Computer Science, Information Systems, Engineering, or a related discipline.
  • Basic knowledge of SQL and at least one scripting language (Python preferred).
  • A foundational understanding of data concepts (e.g., databases, ETL).
  • Strong problem-solving skills and a proactive willingness to learn new technologies.
  • Experience with cloud data platforms (e.g., Databricks, Snowflake, AWS S3, Azure Data Lake).
  • A foundational understanding of metadata management and data governance concepts.

Preferred Qualifications:
  • Hands-on experience developing integrations for an enterprise data catalog platform (e.g., Collibra, Alation).
  • Experience with workflow orchestration tools (e.g., Airflow, Prefect).
  • Familiarity with Infrastructure-as-Code (e.g., Terraform).
  • Exposure to streaming data technologies (e.g., Kafka).