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Data Processor Jobs in Alexandria, VA (NOW HIRING)

Alliance Sourcing Network

Data Engineer

Arlington, VA · On-site

$131K - $158K/yr

The ideal candidate must have 8+ 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 ...

CyberMedia Technologies

Data Engineer

Mclean, VA

$115K - $139K/yr

Build, optimize, and maintain data processing solutions using Azure Databricks and lakehouse architectures to support analytical, operational, and reporting use cases. * Data Migration Support:

Accenture Federal Services

Data Engineer

Arlington, VA

$131K - $158K/yr

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 ...

Accenture Federal Services

Data Engineer

Arlington, VA · On-site

$131K - $158K/yr

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 ...

eSolutionsFirst, LLC

Data Engineer

Mclean, VA · On-site

$117K - $141K/yr

Build and optimize data ingestion processes from multiple structured and unstructured data sources. * Develop and maintain data models, data warehouses, and data marts to support business ...

Accord Technologies Inc.

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 ...

SMX

Cleared Onsite Data Analyst (5211)

Washington, DC · Hybrid

This role focuses on creating and maintaining efficient data processing systems and pipelines to support strategic decision-making and business operations. The ideal candidate will work closely with ...

Edgesource Corporation

Data Engineer

Mclean, VA · On-site

$130K - $145K/yr

Using Bash scripting for automation and data processing tasks * Integrating Al/ML services and models * Work with stakeholders to understand data requirements, assess feasibility, and design ...

New

Edgesource Corporation

Data Engineer

Chantilly, VA · On-site

$118K - $142K/yr

Responsibilities : • Design, develop, and maintain ETL/ELT pipelines for batch and real-time processing using Python and SQL. • Integrate data from multiple sources, including databases, APIs ...

Mpr Associates, Inc.

Data Platform Engineer

Alexandria, VA · On-site

$122K - $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

$122K - $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

$122K - $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 ...

KDA Consulting Inc

Data Engineer

Mclean, VA · On-site

$115K - $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 ...

KDA Consulting Inc

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. The ideal candidate will have strong ...

Cymertek Corporation

Big Data Engineer

Annapolis Junction, MD · On-site

$57 - $75.25/hr

The role involves designing, developing, and maintaining data pipelines, ensuring efficient data processing, and optimizing data storage solutions to support business intelligence and analytics needs.

Staffed4U

Data Engineer

Chantilly, VA · On-site

$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 ...

KDA Consulting Inc

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 ...

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All JobsData Processor JobsData Processor Jobs in Alexandria, VA

Data Processor information

See Alexandria, VA salary details

$13

$21

$37

How much do data processor jobs pay per hour?

As of Jul 16, 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.

What are Data Processors?

Data Processors are professionals or organizations responsible for handling data on behalf of another organization, typically following specific instructions regarding how the data should be processed. Their main duties involve collecting, organizing, inputting, and maintaining data to ensure accuracy and compliance with data protection regulations. Data Processors play a crucial role in industries that require large-scale data management, such as healthcare, finance, and marketing. They must adhere to legal and contractual obligations, particularly regarding the privacy and security of the data they handle.
More about Data Processor jobs
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:
Data Processor jobs near you
Infographic showing various Data Processor job openings in Alexandria, VA as of July 2026, with employment types broken down into 1% As Needed, 74% Full Time, 23% Part Time, and 2% Contract. Highlights an 84% Physical, 6% Hybrid, and 10% Remote job distribution, with an average salary of $45,117 per year, or $21.7 per hour.
Data Engineer

Data Engineer

Alliance Sourcing Network

Arlington, VA • On-site

$131K - $158K/yr

Other

This job post has expired today. Applications are no longer accepted.

Job description

No Third Parties

W2 only - Must be available to work with no sponsorship needed now or in the future.

LOCAL CANDIDATES PREFERRED!!

The ideal candidate must have 8+ 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.
***Only qualified Big Data Engineer candidates located near Arlington, VA to be considered due to the position requiring an onsite presence. ***
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.
Responsibilities: 
• 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.

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