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Data Processing Jobs in Virginia (NOW HIRING)

In this role, you'll work with PySpark and distributed processing, design optimized SQL solutions, and develop secure, well‑engineered data applications using Python and modern orchestration tools.

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

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

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 ...

SR. AWS DATA ENGINEER

Reston, VA · On-site

$119K - $143K/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 ...

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 ...

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 Scientist

Mclean, VA · On-site

$130K - $260K/yr

In this role, you'll work with PySpark and distributed processing, design optimized SQL solutions, and develop secure, well‑engineered data applications using Python and modern orchestration tools.

Data Engineer

Mclean, VA

$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 ...

Data Engineer

Arlington, VA · On-site

$131K - $158K/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 ...

Data Engineer

Herndon, VA

$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 ...

In this role, you'll work with PySpark and distributed processing, design optimized SQL solutions, and develop secure, wellengineered data applications using Python and modern orchestration tools.

Data Programmer

Elkwood, VA · On-site

$45K/yr

Plan and execute a data processing workflow. * Receive, analyze and manipulate data using third-party and in-house software. * Work with data in a variety of formats including Access, Excel, comma ...

New

The Data Programmer is responsible for all aspects of data processing workflow management. This includes data analysis, conversion, manipulation, and output. This role ensures data accuracy and ...

New

Data Engineer

Arlington, VA · Remote

$130K - $170K/yr

In this role, your primary responsibility will be to design, build, and maintain data processing, storage, and integration pipelines. You will report to our Off Vehicle Manager, Software Engineering ...

$130K - $170K/yr

In this role, your primary responsibility will be to design, build, and maintain data processing, storage, and integration pipelines. You will report to our Off Vehicle Manager, Software Engineering ...

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 ...

Data Engineer

Mclean, VA · On-site

$115K - $139K/yr

Demonstrated experience with Apache Spark and PySpark for distributed data processing * Demonstrated experience with advanced Python programming skills including data manipulation libraries (Pandas ...

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Showing results 1-20

Data Processing information

See Virginia salary details

$12

$20

$34

How much do data processing jobs pay per hour?

As of Jun 26, 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 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 is a data processing job role?

A data processing job involves collecting, organizing, and converting raw data into a usable format for analysis or reporting. It often requires skills in data management tools, attention to detail, and knowledge of data formats and software such as Excel, SQL, or specialized processing programs.

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.

Is a data processor a good job?

A data processing job involves organizing, inputting, and managing data using tools like spreadsheets and database software. It can offer steady employment and requires attention to detail, but may have repetitive tasks and limited advancement opportunities depending on the organization. Overall, it can be a suitable entry-level role for those interested in data management.

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.

How can I make 2000 a week working from home?

Data processing jobs can pay varying rates depending on experience, complexity, and workload, with some freelancers earning $2000 or more weekly by taking on multiple projects or clients. To reach this income level, strong skills in data entry, analysis, or software tools are essential, along with efficient time management and possibly certification. Building a reliable client base and working consistently are key factors in achieving higher weekly earnings from home.

How much does data processing make?

Data processing jobs typically pay between $35,000 and $70,000 annually, depending on experience, location, and industry. Entry-level roles may start lower, while experienced professionals with skills in data management and software tools can earn higher salaries.
What are the most commonly searched types of Data Processing jobs in Virginia? The most popular types of Data Processing jobs in Virginia are:
What are popular job titles related to Data Processing jobs in Virginia? For Data Processing jobs in Virginia, the most frequently searched job titles are:
What cities in Virginia are hiring for Data Processing jobs? Cities in Virginia with the most Data Processing job openings:
Infographic showing various Data Processing job openings in Virginia as of June 2026, with employment types broken down into 73% Full Time, 7% Part Time, and 20% Contract. Highlights an 80% In-person, 13% Hybrid, and 7% Remote job distribution, with an average salary of $41,792 per year, or $20.1 per hour.

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 8 days ago


Job description

Data Scientist
Application Deadline: 25 June 2026
Department: Data Analysis and Technology Services
Employment Type: Full Time
Location: McLean, VA
Description
REQUIRED: Active TS/SCI with Full Scope Polygraph
LOCATION: Full-time onsite in McLean, VA
We're looking for a Data Scientist who can build and operate production‑grade data pipelines, deliver scalable ETL/ELT workflows, and solve complex analytical challenges in cloud environments. In this role, you'll work with PySpark and distributed processing, design optimized SQL solutions, and develop secure, well‑engineered data applications using Python and modern orchestration tools.
Who We Are:We offer advanced services in data science, data engineering, software engineering, AI solutions, cybersecurity, staff augmentation, and IT program management.
Passionate Integrity, Driven by Excellence
Ardent Principles offers a competitive salary range and a comprehensive, industry‑leading benefits package designed to support long‑term stability and employee well‑being. We provide more than a position-we offer a workplace committed to excellence, integrity, and mission‑focused impact. Our mission is to act as a bridge between satisfied clients and fulfilled employees, ensuring that your job and well-being are our top priorities because your satisfaction leads to the success of our clients.
Join us as we continue building the future of secure, high‑impact solutions.
Key Responsibilities
In this challenging yet rewarding role, you are an integral part of what brings our Company's mission to life. You must have the following required skills, certifications and demonstrated experience in and/or with:
  • Building production data pipelines and ETL/ELT workflows at scale.
  • Using Apache Spark and PySpark for distributed data processing.
  • Advanced Python programming skills including data manipulation libraries (Pandas, NumPy) and data engineering best practices.
  • Understanding data security, privacy, governance, and compliance principles.
  • Workflow orchestration tools such as Step Functions and Airflow.
  • Containerization such as Docker or Podman, and deploying data applications in cloud environments.
  • AWS services (in particular S3, Lambda, and Step Functions).
  • PostgreSQL and MySQL in production environments, including performance tuning and schema design.
  • SQL and query optimization for complex analytical workloads.
  • Version control (Git) and CI/CD practices for data pipelines.
  • Working with stakeholders to understand data requirements, assess feasibility, and design appropriate solutions with minimal oversight.
  • Strong problem-solving and debugging skills for data quality issues, pipeline failures, and performance bottlenecks.

Highly Desired Qualifications
Other skills and demonstrated experiences that are highly desired but not mandatory to perform the work, include:
  • Data lakehouse architectures using Apache Iceberg.
  • Configuring, deploying, and integrating data platform components: Apache Ranger (access control and data governance), Trino (distributed SQL query engine), Data catalogs (Unity Catalog OSS, Apache Polaris, etc.), and Apache Superset (data visualization and dashboarding).
  • Bash scripting for automation and data processing tasks.
  • Infrastructure as Code (Terraform or CloudFormation) for data infrastructure.
  • Tracking data lineage and associated tooling such as OpenLineage.
  • Using Java.
  • Data quality frameworks, testing methodologies, and validation strategies.
  • Background with large-scale data migrations or platform modernization efforts.
  • Integrating AI/ML services and models (translation, OCR, speech-to-text, NLP, language detection, topic modeling), LLMs, and RAG (retrieval-augmented generation) pipelines.
  • Geospatial data processing (H3, PostGIS, or similar).
  • Contributing to data engineering documentation, best practices, or design patterns.
  • NoSQL databases (DynamoDB, etc.).
  • Excellent written and verbal communication skills with both technical and non-technical audiences.
  • Linux Operating Systems
  • Agile/Scrum development methodologies in a fast-paced, collaborative team environment.
  • Working effectively in high-performing, cross-functional teams with multiple concurrent projects.
  • Working directly with stakeholders to gather requirements, understand needs, and translate them into technical solutions with minimal oversight.
  • Self-directed work with a strong ownership mentality and commitment to code quality, testing, and documentation.
  • Context-switching between projects and systems as priorities demand.

What We Offer You
  • Highly Competitive Salary: Recognizing and rewarding your expertise and contributions.
  • Generous Paid Time Off: Providing ample time for rest, relaxation, and personal pursuits.
  • Dedicated Training Budget: Supporting continuous learning and professional development.
  • 100% Employer-Covered Family Vision, Dental, and Health Insurance: Ensuring comprehensive health coverage for you and your family.
  • 100% Employer-Covered Life and Disability Insurance: Offering financial security and peace of mind.
  • 401(k) Plan with a 6% Employer Match: Helping you plan and save for a secure retirement, with 100% vesting from day one.
  • 11 Paid Government Holidays: Observing national holidays to ensure time off with family and friends.
  • Spot Bonuses for Exceptional Performance: Rewarding outstanding contributions and achievements.

SCHEDULE:
This is a full-time position with consultants expected to be available and working onsite in McLean, VA during core hours.
Ready to take the next step in your career? Join us and be part of a team dedicated to driving positive change through technology. Apply now with our easy 3-minute, mobile-friendly initial application process. Your future starts here!