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Data Processing Jobs in Virginia (NOW HIRING)

Accenture Federal Services

Data Engineer

Arlington, VA · On-site

$131.90K - $158.40K/yr

Responsibilities : • Design, build, and maintain distributed data processing pipelines to support operational AI adoption • Develop and optimize streaming architectures for real-time and batch ...

Jobsbridge

Big Data Engineer

Lorton, VA

$56.25 - $74.50/hr

Experience working on a big data platform Demonstrated deep proficiency with Big Data processing technologies (Hadoop, Spark,HBase, Cassandra, other NO SQL solutions) Experience in building data ...

Mpr Associates, Inc.

Data Platform Engineer

Alexandria, VA · On-site

$122.40K - $147K/yr

General Join our engineering team as a Data Platform Engineer where you'll build robust data processing applications and analytics solutions. We're looking for someone who thrives at the intersection ...

Mpr Associates, Inc.

Data Platform Engineer

Alexandria, VA

$122.40K - $147K/yr

General Join our engineering team as a Data Platform Engineer where you'll build robust data processing applications and analytics solutions. We're looking for someone who thrives at the intersection ...

Mpr Associates, Inc.

Data Platform Engineer

Alexandria, VA

$122.40K - $147K/yr

General Join our engineering team as a Data Platform Engineer where you'll build robust data processing applications and analytics solutions. We're looking for someone who thrives at the intersection ...

Accord Technologies Inc.

Sr. Data engineer

Reston, VA · On-site

$119.10K - $143K/yr

Hands-on experience with AWS Lambda for serverless data processing. * Experience building ETL pipelines using AWS Glue. * Experience working with data warehouse solutions (e.g., Redshift, BigQuery ...

Venture Global LNG

Data Engineer

Arlington, VA · On-site

$131.90K - $158.40K/yr

Understanding of parallel processing and data architecture patterns. * Knowledgeable in data processing languages such as SQL, Python, or Spark. * Experience in building secure data processing ...

Venture Global LNG

Data Engineer

Arlington, VA · On-site

$131.70K - $158.20K/yr

Understanding of parallel processing and data architecture patterns. * Knowledgeable in data processing languages such as SQL, Python, or Spark. * Experience in building secure data processing ...

KDA Consulting Inc

Data Engineer

Chantilly, VA · On-site

$117.20K - $140.80K/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 ...

Venture Global LNG

Data Engineer

Arlington, VA · On-site

$131.70K - $158.20K/yr

Understanding of parallel processing and data architecture patterns. * Knowledgeable in data processing languages such as SQL, Python, or Spark. * Experience in building secure data processing ...

BTree Solutions, Inc.

SR. AWS DATA ENGINEER

Reston, VA · On-site

$119.20K - $143.10K/yr

W2 This position is for AWS Data Engineer. 5-7+ years experience with AWS data engineering, ETL/ELT pipelines, and cloud?native data processing. Looking for proficiency in the following areas : * AWS ...

KDA Consulting Inc

Data Engineer

Mclean, VA · On-site

$115.70K - $139K/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 ...

Guidehouse

AWS Data Engineer

Mclean, VA · On-site

$89K - $148K/yr

Build ETL/ELT processes to ingest, transform, and load data from various sources into data warehouses and data lakes. * Architect and maintain data lakes using S3, implement data cataloging with AWS ...

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How much do data processing jobs pay per hour?

As of May 30, 2026, the average hourly pay for data processing in Virginia is $20.09, according to ZipRecruiter salary data. Most workers in this role earn between $15.96 and $22.16 per hour, depending on experience, location, and employer.

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.

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 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 job makes $10,000 a month without a degree?

In data processing, high-paying roles such as data analysts or data engineers can earn around $10,000 per month, especially with specialized skills in programming, database management, and data analysis tools. These positions often require experience and proficiency in software like SQL, Python, or cloud platforms, but may not always require a formal degree if skills are demonstrated through certifications or a strong portfolio.
More about Data Processing jobs
What are the most commonly searched types of Data Processing jobs in Virginia? The most popular types of Data Processing jobs in Virginia are:
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What job categories do people searching Data Processing jobs in Virginia look for? The top searched job categories for Data Processing jobs in Virginia are:
What cities in Virginia are hiring for Data Processing jobs? Cities in Virginia with the most Data Processing job openings:
Data Processing jobs near you
Infographic showing various Data Processing job openings in Virginia as of May 2026, with employment types broken down into 1% As Needed, 81% Full Time, 14% Part Time, and 4% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $41,792 per year, or $20.1 per hour.
Data Engineer

Data Engineer

Accenture Federal Services

Arlington, VA • On-site

$131.90K - $158.40K/yr

Full-time

Posted 23 days ago

Accenture Federal Services rating

8.4

Company rating: 8.4 out of 10

Based on 19 frontline employees who took The Breakroom Quiz

48th of 424 rated business services

Job description

Job Summary:
Accenture Federal Services is dedicated to helping the US federal government enhance national security and improve citizens' lives. As a Data Engineer, you will be responsible for building and optimizing data architectures to support operational AI adoption and ensuring robust data processing solutions.
Responsibilities:
• Design, build, and maintain distributed data processing pipelines to support operational AI adoption
• Develop and optimize streaming architectures for real-time and batch data ingestion and transformation
• Implement and manage an Data Layer, ensuring robust data lineage and metadata management
• Create and maintain AI-ready data pipelines that enable multi-source data fusion and analytics
• Integrate and leverage technologies such as Spark, Kafka, Trino, ClickHouse, Iceberg, and OpenSearch within the data ecosystem
• Collaborate with cross-functional teams to support mission applications, enterprise AI governance, and agentic AI systems
• Ensure data pipelines are secure, scalable, and aligned with DevSecOps and cybersecurity best practices
• Support continuous monitoring, observability, and scalable software delivery for mission-focused operational workflows
• Contribute to the integration of AI, data engineering, platform engineering, and analytics within a modern Hub-and-Spoke architecture.
• You will be tasked with ensuring comprehensive data lineage and metadata management, enabling AI-ready data pipelines, and facilitating multi-source data fusion to drive actionable insights
• Your work will directly contribute to the integration of AI, DevSecOps, platform engineering, and cybersecurity within a scalable, continuously monitored environment
Qualifications:
Required:
• Experience in any the following: Distributed data processing
• Experience in any the following: Streaming architectures
• Experience in any the following: Enterprise Data Layer implementation
• Experience in any the following: Data lineage and metadata
• Experience in any the following: AI-ready data pipelines
• Experience in any the following: Multi-source data fusion
• US Citizen
• Active TS/SCI Clearance
Preferred:
• Ability to collaborate across multidisciplinary teams and adapt to evolving enterprise AI governance and agentic AI system requirements will be essential for delivering scalable and resilient software solutions
Company:
Accenture Federal Services is a leading US federal services company and subsidiary of Accenture. Founded in 1989, the company is headquartered in Arlington, USA, with a team of 10001+ employees. The company is currently Late Stage.

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