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Data Processing Assistant Jobs in Dumfries, VA (NOW HIRING)

Data Engineer II

Arlington, VA · On-site

$131K - $158K/yr

Data Engineer II Location : Arlington, VA, (Onsite) Position type: W2 contract Industry: Banking/Financials/Payments Mandatory: Banking/Financial, Big Data, Data Modeling, ETL, Hadoop, Python, Spark ...

Data Engineer

Arlington, VA · On-site

$150K - $155K/yr

... * Assist in testing, governance, data quality, training, and documentation efforts. * Actively ... Understanding of parallel processing and data architecture patterns. * Knowledgeable in data ...

Data Engineer

Arlington, VA · On-site

$150K - $155K/yr

... * Assist in testing, governance, data quality, training, and documentation efforts. * Actively ... Understanding of parallel processing and data architecture patterns. * Knowledgeable in data ...

Data Systems Engineer

Washington, DC · On-site

$129K - $155K/yr

... Assist with database architecture, data engineering, data processing, and technical workflows. • Support development of hearing health assessment tools, occupational exposure data tools, and ...

Data Engineer

Centreville, VA · On-site +1

$113K - $136K/yr

Optimize data processing and queries for performance and cost efficiency in AWS S3. * Exposure to ... Support feature engineering, aggregations, and transformations at scale. * Assist in deploying ML ...

Data Engineer

Centreville, VA · Hybrid

$113K - $136K/yr

Optimize data processing and queries for performance and cost efficiency in AWS S3. * Exposure to ... Support feature engineering, aggregations, and transformations at scale. * Assist in deploying ML ...

Data Engineer

Quantico, VA

$123K - $148K/yr

Develop, optimize, and manage ETL/ELT processes and data ingestion platforms, including cloud-based ... Support data tagging, metadata management, and enterprise data governance initiatives * Assist in ...

Data Engineer

Quantico, VA · On-site

$123K - $148K/yr

This role is responsible for designing, building, securing, and optimizing scalable data processing ... enterprise data governance initiatives • Assist in developing data-related policies ...

Data Engineer

Quantico, VA · On-site

$121K - $145K/yr

Develop, optimize, and manage ETL/ELT processes and data ingestion platforms, including cloud-based ... Support data tagging, metadata management, and enterprise data governance initiatives * Assist in ...

Leading and participating in the design of solutions and refinement of pre-existing processes ... assist the analytical workforce in generating common operational pictures depicting fused ...

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Data Processing Assistant information

See Dumfries, VA salary details

$12

$20

$34

How much do data processing assistant jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for data processing assistant in Dumfries, VA is $20.00, according to ZipRecruiter salary data. Most workers in this role earn between $15.91 and $22.07 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a data processing assistant?

To thrive as a Data Processing Assistant, you need strong data entry skills, attention to detail, and a high school diploma or equivalent. Familiarity with spreadsheet software like Microsoft Excel, database management systems, and sometimes basic knowledge of data processing software is typically required. Excellent organizational abilities, time management, and the capacity to maintain confidentiality set top performers apart. These skills ensure accurate, efficient handling of sensitive information, directly supporting effective business operations.

What are some common challenges faced by data processing assistants, and how can they be addressed?

Data Processing Assistants often encounter challenges such as managing large volumes of data with tight deadlines and ensuring the accuracy of information being entered or processed. To address these issues, it's important to develop strong organizational habits, regularly double-check work for errors, and leverage available software tools to automate repetitive tasks. Collaborating closely with data analysts, supervisors, and IT team members can also help resolve discrepancies quickly and maintain data integrity.

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

AspectData Processing AssistantData Entry Clerk
Required CredentialsHigh school diploma; some roles may prefer certifications in data managementHigh school diploma; basic computer skills
Work EnvironmentOffice settings, data centers, or remoteOffice environments, primarily in administrative settings
Employer & Industry UsageBusinesses, government agencies, healthcare, financeAdministrative offices, retail, healthcare, government
Common Search & ComparisonOften compared for data handling tasks, technical skillsCompared for basic data input, administrative support

The main difference is that Data Processing Assistants handle more complex data management tasks, often involving data validation and processing, while Data Entry Clerks focus primarily on inputting data accurately. Both roles are essential in data-related workflows but differ in scope and technical requirements.

What does a data processing assistant do?

A data processing assistant is responsible for collecting, organizing, and verifying data to ensure accuracy and completeness. They often use software tools like spreadsheets or database systems and may perform tasks such as data entry, cleaning, and formatting to support data analysis and reporting.

What cities near Dumfries, VA are hiring for Data Processing Assistant jobs?

Cities near Dumfries, VA with the most Data Processing Assistant job openings:

Infographic showing various Data Processing Assistant job openings in Dumfries, VA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $41,602 per year, or $20 per hour.

Data Engineer II

Accord Technologies Inc.

Arlington, VA • On-site

$131K - $158K/yr

Contractor

Re-posted 14 days ago


Job description

Title: Data Engineer II
Location : Arlington, VA, (Onsite) 
Position type: W2 contract
Industry: Banking/Financials/Payments
 
Mandatory: Banking/Financial, Big Data, Data Modeling, ETL, Hadoop, Python, Spark, SQL , 

Job Description:
The ideal candidate must have 9+ years of hands-on data engineering experience building large-scale ETL pipelines using Apache Spark, Hadoop, Python, and SQL. They also need a strong background in the payments or financial sector, paired with excellent communication skills to effectively influence and partner with cross-functional teams.
 
Required Education
• Bachelor's degree in a quantitative discipline such as Engineering, Mathematics, Finance, Business, or a related field. Equivalent practical experience may also be considered.
Required Qualifications/Skills/Experience:
• Experience as a Data Engineer or in a similar role, with a strong understanding of data engineering concepts and methodologies.
• Strong knowledge of writing and optimizing SQL queries to retrieve, manipulate, and analyze data efficiently.
• Hands-on experience with big data technologies such as:
• Apache Spark (PySpark, Spark SQL, Spark Streaming)
• Hadoop ecosystem (HDFS/ Ozone, Hive, YARN)
• Understanding data modeling concepts and database design to support scalable data solutions.
• Familiarity with Python.
• Ability to analyze and troubleshoot data issues and provide solutions with minimal supervision.
• Basic knowledge of testing and validating data to ensure accuracy and consistency in data pipelines.
• Excellent verbal and written communication skills, with the ability to articulate complex ideas clearly and concisely to both technical and non-technical stakeholders.
Role:
This role focuses on designing, implementing, and maintaining scalable enterprise ETL processes and robust data pipelines for a global client base. You will leverage big data frameworks like Apache Spark and Hadoop, along with SQL and Python, to optimize data processing and ensure high data quality. Working closely with cross-functional teams, you will automate routine tasks and deliver accurate, high-value data solutions across various industries.
• Support the design, implementation, and maintenance of enterprise ETL processes for data platforms, for a global client base.
• Develop scalable and efficient code to process data, ensuring availability and accessibility in a timely manner.
• Leverage big data processing frameworks such as Apache Spark and Hadoop to build and optimize data pipelines.
• Collaborate with senior engineers to address data challenges, contributing to solutions that maintain high data quality.
• Assist in the data delivery process, working alongside Data Engineers and Analysts to support accurate, high-value data solutions across various clients and industries.
• Build strong working relationships with team members and clients, contributing to both local and global projects.
• Learn and apply industry best practices, including version control, code reviews, and data validation, to ensure quality in data processes.
• Use SQL and other database technologies to help optimize data processing and reduce the time required to handle large data sets.
• Design, implement, and maintain data pipelines using ETL frameworks, orchestration tools, and distributed data processing engines.
• Participate in efforts to automate routine data tasks and streamline processes.
• Comply with all Mastercard internal policies and adhere to external regulations.