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Data Processor Jobs in Alexandria, VA (NOW HIRING)

Data Engineer

Chantilly, VA · On-site

$117K - $140K/yr

This role focuses on enabling efficient data processing, analytics, and decision-making by delivering reliable, high-quality data solutions in cloud environments. The ideal candidate will have strong ...

Data Engineer

Chantilly, VA · On-site

$117K - $140K/yr

This role focuses on enabling efficient data processing, analytics, and decision-making by delivering reliable, high-quality data solutions in cloud environments. The ideal candidate will have strong ...

Data Engineer

Mclean, VA · On-site

$115K - $139K/yr

Ingest, process, and transform large volumes of structured and unstructured data * Ensure data quality, integrity, and reliability across systems * Collaborate with data analysts, data scientists ...

Data Engineer

Chantilly, VA

$118K - $142K/yr

Ingest, process, and transform large volumes of structured and unstructured data * Ensure data quality, integrity, and reliability across systems * Collaborate with data analysts, data scientists ...

Big Data Developer

Rockville, MD · On-site

$54 - $70/hr

Onsite We are seeking an experienced Big Data Developer with strong expertise in Apache Spark, Hadoop, AWS, Python/Scala, and SQL to build and optimize large-scale data processing solutions. Required ...

Data Engineer

Chantilly, VA

$118K - $142K/yr

Optimize data processing workflows and queries for performance, scalability, and cost efficiency within AWS environments. * Support future pipeline scalability through exposure to PySpark and other ...

Data Engineer

Herndon, VA · On-site

$117K - $141K/yr

This role focuses on enabling efficient data processing, analytics, and decision-making by delivering reliable, high-quality data solutions in cloud environments. Responsibilities : • Design ...

Data Engineer

Mclean, VA · On-site

$116K - $139K/yr

This role focuses on enabling efficient data processing, analytics, and decision-making by delivering reliable, high-quality data solutions in cloud environments. Responsibilities : • Design ...

Data Engineer

Herndon, VA · On-site

$117K - $141K/yr

Ingest, process, and transform large volumes of structured and unstructured data * Ensure data quality, integrity, and reliability across systems * Collaborate with data analysts, data scientists ...

Data Engineer

Chantilly, VA · On-site

$118K - $142K/yr

This role focuses on enabling efficient data processing, analytics, and decision-making by delivering reliable, high-quality data solutions in cloud environments. Responsibilities : • Design ...

Senior Data Architect

Washington, DC · On-site

$76.25 - $102/hr

Analyze data processes, applications, and source data to understand dependencies, anomalies, and implicit business rules that impact the division's ability to manage data. Review and analyze existing ...

Senior Data Architect

Washington, DC · On-site

$76.25 - $102/hr

Analyze data processes, applications, and source data to understand dependencies, anomalies, and implicit business rules that impact the division's ability to manage data. Review and analyze existing ...

Senior Data Architect

Washington, DC · On-site

$76.25 - $102/hr

Analyze data processes, applications, and source data to understand dependencies, anomalies, and implicit business rules that impact the division's ability to manage data. Review and analyze existing ...

Senior Data Architect

Washington, DC · On-site

$76.25 - $102/hr

Analyze data processes, applications, and source data to understand dependencies, anomalies, and implicit business rules that impact the division's ability to manage data. Review and analyze existing ...

Senior Data Architect

Washington, DC · On-site

$76.25 - $102/hr

Analyze data processes, applications, and source data to understand dependencies, anomalies, and implicit business rules that impact the division's ability to manage data. Review and analyze existing ...

Senior Data Architect

Washington, DC · On-site

$76.25 - $102/hr

Analyze data processes, applications, and source data to understand dependencies, anomalies, and implicit business rules that impact the division's ability to manage data. Review and analyze existing ...

Senior Data Architect

Washington, DC · On-site

$76.25 - $102/hr

Analyze data processes, applications, and source data to understand dependencies, anomalies, and implicit business rules that impact the division's ability to manage data. Review and analyze existing ...

Senior Data Architect

Washington, DC · On-site

$76.25 - $102/hr

Analyze data processes, applications, and source data to understand dependencies, anomalies, and implicit business rules that impact the division's ability to manage data. Review and analyze existing ...

Senior Data Architect

Washington, DC · On-site

$76.25 - $102/hr

Analyze data processes, applications, and source data to understand dependencies, anomalies, and implicit business rules that impact the division's ability to manage data. Review and analyze existing ...

Showing results 41-60

Data Processor information

See Alexandria, VA salary details

$13

$21

$37

How much do data processor jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for data processor in Alexandria, VA is $21.69, according to ZipRecruiter salary data. Most workers in this role earn between $17.26 and $23.94 per hour, depending on experience, location, and employer.

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

AspectData ProcessorData Entry Clerk
Required CredentialsHigh school diploma; some roles may require basic certificationsHigh school diploma; no specialized certifications typically needed
Work EnvironmentOffice settings, data centers, or remote workOffice environments, often in administrative settings
Employer & Industry UsageBusinesses, government agencies, financial institutionsCorporations, healthcare, retail, administrative offices
Common Search & ComparisonOften compared for data handling and processing tasksCompared for data input and administrative support roles

While both roles involve handling data, Data Processors typically perform more complex data management and validation tasks, often requiring some technical skills. Data Entry Clerks focus on inputting data accurately and efficiently. Understanding these differences helps in choosing the right role based on skills and career goals.

What are some common challenges faced by data processors and how can they be addressed?

Data Processors often encounter challenges such as managing large volumes of data accurately and efficiently, dealing with inconsistent or incomplete data, and ensuring data privacy and compliance. To address these, it's important to develop strong attention to detail, become proficient with data processing software, and stay updated on relevant data protection regulations. Collaborating closely with data analysts and IT teams can also help resolve data issues and improve workflow efficiency.

What is a data processor?

A data processor transfers, organizes, and processes personal data for a company. It is typically an entry-level job that serves as a starting point for a career as a data controller. As a data processor, your duties involve processing incoming documents, transferring analog documents into digital data, verifying the information in all documents, updating document formats, and creating detailed reports on company data use and management. Qualifications for this career include excellent computer skills and a bachelor’s degree in computer science or data management.

What are the key skills and qualifications needed to thrive as a data processor, and why are they important?

To thrive as a Data Processor, you need strong attention to detail, accuracy in data entry, and a high school diploma or equivalent. Familiarity with spreadsheet software (such as Microsoft Excel), database management systems, and sometimes data processing software is typically required. Excellent organizational skills, the ability to follow procedures, and effective time management make someone stand out in this role. These skills ensure data integrity, minimize errors, and support efficient information management within an organization.

How much does a data processor earn?

The average salary for a data processor in the United States ranges from $30,000 to $50,000 per year, depending on experience, location, and industry. Entry-level positions may start lower, while experienced data processors with specialized skills or certifications can earn higher wages. Salaries are often complemented by benefits such as health insurance and paid time off.

What do you do as a data processor?

A data processor collects, organizes, and manages data to ensure accuracy and accessibility. They often use software tools like spreadsheets or databases and may perform tasks such as data entry, validation, and updating to support business operations.
What are popular job titles related to Data Processor jobs in Alexandria, VA? For Data Processor jobs in Alexandria, VA, the most frequently searched job titles are:
What job categories do people searching Data Processor jobs in Alexandria, VA look for? The top searched job categories for Data Processor jobs in Alexandria, VA are:
What cities near Alexandria, VA are hiring for Data Processor jobs? Cities near Alexandria, VA with the most Data Processor job openings:
Infographic showing various Data Processor job openings in Alexandria, VA as of July 2026, with employment types broken down into 1% As Needed, 78% Full Time, 13% Part Time, and 8% Contract. Highlights an 80% Physical, 4% Hybrid, and 16% Remote job distribution, with an average salary of $45,117 per year, or $21.7 per hour.

Data Engineer

KDA Consulting Inc

Chantilly, VA • On-site

$117K - $140K/yr

Full-time

Re-posted 3 days ago


Job description

KDA Consulting Inc. is seeking a highly skilled Data Engineer to design, build, and maintain scalable data pipelines and architectures supporting mission-critical programs within the Intelligence Community (IC). This role focuses on enabling efficient data processing, analytics, and decision-making by delivering reliable, high-quality data solutions in cloud environments.

The ideal candidate will have strong experience with AWS cloud services, data engineering best practices, and big data technologies, with the ability to operate in a fast-paced, collaborative environment supporting complex mission systems.

Data Pipeline Development & Engineering

  • Design, develop, and maintain scalable ETL/ELT pipelines to ingest, transform, and load data from multiple sources
  • Build and optimize data workflows supporting both batch and real-time processing
  • Ensure high availability and reliability of data pipelines across enterprise systems

AWS Cloud & Data Services

  • Leverage AWS services such as S3, Glue, Lambda, Redshift, EMR, and Kinesis to support data engineering solutions
  • Design and manage cloud-based data architectures that are secure, scalable, and cost-efficient
  • Implement best practices for data storage, partitioning, and lifecycle management

Data Optimization & Performance

  • Optimize data storage and retrieval for performance, scalability, and cost efficiency
  • Implement indexing, partitioning, and query optimization strategies
  • Monitor and troubleshoot data pipeline performance issues

Data Quality & Governance

  • Ensure data accuracy, consistency, and integrity across all data pipelines and systems
  • Implement validation, monitoring, and error-handling mechanisms
  • Support data governance practices and compliance with security and IC standards

Collaboration & Integration

  • Work closely with data scientists, software engineers, and mission stakeholders to support analytics and operational needs
  • Integrate data solutions with enterprise applications, APIs, and downstream analytics platforms
  • Participate in Agile development processes and contribute to continuous improvement efforts

Requirements

Active TS/ SCI W/ Polygraph Required.

Bachelor’s degree in Computer Science, Engineering, or a related technical field (or equivalent experience)

Demonstrated experience in data engineering and pipeline development

Strong experience with AWS data services (e.g., S3, Glue, Redshift, Lambda, EMR)

Proficiency in SQL and Python for data processing and transformation

Experience working with large-scale data sets and big data technologies

Strong analytical and problem-solving skills