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Part Time Data Processing Jobs in Virginia (NOW HIRING)

Data Engineer

Mclean, VA · On-site +1

$77.60K - $176K/yr

From batch ingestion to near real-time processing, your work will directly support national ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Data Scientist, Mid

Alexandria, VA · On-site

$77.60K - $176K/yr

... processing complex data to create data-driven insights * Experience using Python to manipulate and ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

While this is an entrylevel, parttime role, it provides meaningful exposure to realworld cyber ... The data you process contributes directly to: * Protecting individuals from financial fraud and ...

$23 - $25/hr

Support data hygiene by adhering to entry conventions, identifying and resolving duplicate records and inconsistencies, and updating contact information. * Conduct basic donor research. * Stay ...

Senior Data Analyst (Part-Time)

Arlington, VA · On-site

$98.30K - $124K/yr

Everforth ECS is seeking a Senior Data Analyst (Part-Time) to work in our Arlington, VA office ... Skill applying analytical techniques, methods, and processes to business problems demonstrated ...

Senior Data Analyst (part-time)

Arlington, VA · On-site

$99.10K - $125K/yr

... process and creating models, dashboards, and reports. * Knowledge and experience using business intelligence applications and reporting technologies/methodologies including Data Analytics Expressions ...

Senior Data Analyst (part-time)

Arlington, VA · On-site

$99.10K - $125K/yr

Skill applying analytical techniques, methods, and processes to business problems demonstrated ... Perform analysis of data for Extraction, Transformation, and Load (ETL) strategies, pattern ...

Data Scientist

Arlington, VA · On-site

$77.60K - $176K/yr

Experience with natural language processing, text mining, or machine learning techniques ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Data Scientist

Mclean, VA · On-site

$99K - $225K/yr

Experience with natural language processing, text mining, or machine learning techniques * TS/SCI ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

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Part Time Data Processing information

What are the key skills and qualifications needed to thrive as a Part Time Data Processing professional, and why are they important?

To thrive in Part Time Data Processing, you need strong attention to detail, accuracy, and basic computer literacy, often supported by a high school diploma or equivalent. Familiarity with spreadsheet software like Microsoft Excel, database systems, and sometimes data entry platforms is typically required. Time management, reliability, and effective communication are important soft skills that help ensure consistent and error-free work. These skills are crucial for maintaining data integrity and supporting organizational efficiency in data-driven environments.

What are some common challenges faced in a part-time data processing role, and how can they be managed?

Part-time data processing professionals often encounter challenges like tight deadlines, handling large data volumes, and ensuring accuracy despite working fewer hours. Staying organized and maintaining clear communication with supervisors can help manage shifting priorities and workloads. Additionally, utilizing automation tools and regularly verifying data accuracy can streamline tasks and reduce errors, making it easier to balance responsibilities within a part-time schedule.

What are part time data processing jobs?

Part time data processing jobs involve handling, organizing, and managing data on a flexible or reduced-hour schedule. These roles typically require entering, updating, and verifying data in computer systems or databases. Common tasks may include data entry, cleaning up existing information, or generating reports. Part time positions are ideal for students, parents, or anyone seeking work-life balance, and can be found in various industries such as healthcare, finance, and retail.

What is the difference between Part Time Data Processing vs Part Time Data Entry?

AspectPart Time Data ProcessingPart Time Data Entry
CredentialsBasic computer skills, familiarity with data processing softwareBasic computer skills, proficiency in typing and data entry tools
Work EnvironmentRemote or office-based, handling data files and softwareRemote or office-based, entering data into spreadsheets or databases
Industry UsageBusiness, finance, healthcare, and tech sectorsAdministrative, retail, healthcare, and customer service sectors

Part Time Data Processing involves managing and analyzing data using specialized software, often requiring some familiarity with data management tools. Part Time Data Entry focuses on inputting data into systems, emphasizing typing speed and accuracy. While both roles are often remote and require basic computer skills, data processing may involve more technical tasks, whereas data entry is more straightforward and clerical. Understanding these differences helps job seekers find roles that match their skills and career goals.

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 job categories do people searching Part Time Data Processing jobs in Virginia look for? The top searched job categories for Part Time Data Processing jobs in Virginia are:
Infographic showing various Part Time Data Processing job openings in Virginia as of May 2026, with employment types broken down into 1% As Needed, 60% Full Time, 37% Part Time, and 2% Contract. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution.
Data Engineer

$77.60K - $176K/yr

Full-time, Part-time

Medical, Life, Retirement, PTO

Posted 27 days ago


Booz Allen Hamilton rating

8.8

Company rating: 8.8 out of 10

Based on 47 frontline employees who took The Breakroom Quiz

8th of 57 rated business consultants


Job description

Job Description
Remote Work:
Yes
Job Number:
R0239684
Location:
McLean,VA,US
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Data Engineer
The Opportunity:
Data is only as powerful as the pipelines that move it, the structure that organizes it, and the trust that supports it. As a Data Engineer, you'll help build and scale a cloud-native data platform that enables mission-critical insights across the enterprise.
In this role, you'll design, build, and optimize data pipelines that ingest, transform, and deliver data from a wide range of internal and external sources. You'll work within a modern AWS-based data ecosystem to support analytics, APIs, and AI/ML use cases ensuring data is reliable, secure, and accessible to those who need it.
You'll collaborate closely with cloud engineers, API developers, data analysts, and mission stakeholders to develop reusable data products and scalable ingestion frameworks. From batch ingestion to near real-time processing, your work will directly support national security missions by turning raw data into actionable intelligence.
Work with us to build the backbone of enterprise data.
Join us. The world can't wait.
You Have:
  • 3+ years of experience in data engineering, data integration, or backend data development
  • Experience designing, building, and maintaining ETL/ELT data pipelines
  • Experience in SQL and Python
  • Experience ingesting and integrating data from multiple sources such as APIs, flat files, and databases
  • Experience with cloud-based data platforms, including AWS, and distributed data processing
  • Experience working in Agile development environments and collaborating with cross-functional teams
  • Ability to translate technical data concepts for stakeholders
  • Top Secret clearance
  • Bachelor's degree in Computer Science, Data Science, or Engineering

Nice If You Have:
  • Experience with AWS services such as Amazon S3, AWS Glue, Amazon Athena, AWS Lambda, or Amazon Redshift
  • Experience implementing data validation, quality checks, and monitoring within pipelines
  • Experience with data lake or lakehouse architectures and columnar storage formats such as Parquet
  • Experience with big data frameworks such as Apache Spark and supporting data platforms, analytics environments, or AI/ML pipelines
  • Experience with DevSecOps practices and tools, including GitLab CI/CD or Terraform
  • Knowledge of data modeling concepts and data pipeline architectures such as medallion or layered approach
  • Knowledge of API-driven data access and event-driven integration patterns
  • Ability to optimize data workflows for performance, scalability, and reliability
  • Possession of strong problem-solving skills
  • IAT Level II, CompTIA Security+, Computing Environment, or AWS CCP Certification

Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Top Secret clearance is required.
Compensation
At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.
Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $77,600.00 to $176,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date.
Identity Statement
As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.
Candidate AI Usage Policy
AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.
Work Model
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.
  • Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.
  • Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.
  • Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.
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About Booz Allen Hamilton

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Booz Allen Hamilton is a leading provider of management and technology consulting services to the US government in defense, intelligence, and civil markets. Headquartered in McLean, Virginia, the firm also serves major corporations, institutions, and not-for-profit organizations. Founded in 1914 by Edwin G. Booz, the company has a long-standing tradition of helping clients achieve success by delivering a wide range of consulting services that include strategic planning, human capital and learning, communication, systems development, and others. The company's mission is to empower people to change the world, and it has a reputation for maintaining the highest standards of integrity and-excellence.

Industry

It services

Company size

10,000+ Employees

Headquarters location

McLean, VA, US

Year founded

1914