2

Part Time Data Processing Jobs in North Carolina

Data Engineer

Fayetteville, NC · On-site

$77K - $176K/yr

Develop secure, efficient Python for data processing, automation, and warehousing. * Migrate and ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Data Scientist

Fayetteville, NC · On-site +1

$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 ...

Data Scientist

Fayetteville, NC · On-site +1

$99K - $225K/yr

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

Data Scientist

Fayetteville, NC · On-site +1

$99K - $225K/yr

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

... processing new construction permits, depending on the needs and structure of the assigned county ... part-time basis, reviewing collected data and ensuring it meets project requirements. * Other ...

Data Engineer

Fayetteville, NC · On-site +1

$61K - $141K/yr

Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ... Identity Statement As part of the hiring process, we will ask you to complete an identity ...

Data Analyst, Senior

Fayetteville, NC · On-site +1

$79K - $99K/yr

Work with us to help drive large-scale business and process decisions through data insights. Join ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

next page

Showing results 1-20

Part Time Data Processing information

See North Carolina salary details

$7

$16

$24

How much do part time data processing jobs pay per hour?

As of Aug 5, 2026, the average hourly pay for part time data processing in North Carolina is $16.13, according to ZipRecruiter salary data. Most workers in this role earn between $12.88 and $17.93 per hour, depending on experience, location, and employer.

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 is a part time data processing job?

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 are the key skills and qualifications needed for a part time data processing job?

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 common challenges faced in a part time data processing job, 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 the most commonly searched types of Data Processing jobs in North Carolina? The most popular types of Data Processing jobs in North Carolina are:
Infographic showing various Part Time Data Processing job openings in North Carolina as of July 2026, with employment types broken down into 1% As Needed, 81% Full Time, 15% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $33,554 per year, or $16.1 per hour.

$77K - $176K/yr

Full-time, Part-time

Medical, Life, Retirement, PTO

Re-posted 24 days ago


Booz Allen Hamilton rating

8.8

Company rating: 8.8 out of 10

Based on 48 frontline employees who took The Breakroom Quiz

13th of 72 rated business consultants


Job description


Remote Work:
No
Job Number:
R0239251
Location:
Fayetteville,NC,US
Share job via:
Share
Additional Locations:
  • Fort Benning, Georgia, USA
  • Virginia Beach, Virginia, USA

Data Engineer
The Opportunity:
Rapid advances in IoT, machine learning, and artificial intelligence mean organizations have access to more data than ever before-both structured and unstructured. Turning that data into actionable insight requires strong engineering, thoughtful design, and scalable platforms.
As a senior Data Engineer at Booz Allen, you will design and build data platforms and pipelines that power mission-critical outcomes. You will work on complex, high-impact programs that help clients solve real-world challenges with data.
You'll collaborate with analysts, AI engineers, developers, and stakeholders in a fast-paced, agile environment. In this role, you will lead technical efforts across assessment, design, development, and sustainment of scalable data platforms while mentoring teammates and driving best practices.
What You'll Work On:
  • Design, build, and maintain scalable data pipelines and platforms.
  • Develop secure, efficient Python for data processing, automation, and warehousing.
  • Migrate and integrate data from on-premises systems to cloud environments.
  • Implement CI/CD pipelines to automate build, test, and deployment workflows.
  • Develop SQL scripts and stored procedures for data processing and transformation.
  • Apply data modeling best practices.
  • Support data governance, metadata tagging, and access controls.
  • Partner with cross-functional teams to deliver end-to-end data solutions.
  • Provide technical guidance in a complex enterprise environment.

Join us. The world can't wait.
You Have:
  • 2+ years of experience as a data engineer supporting large-scale enterprise systems
  • Experience writing clean, secure, and efficient Python for data engineering use cases
  • Experience moving data from on-prem environments to the cloud and automating development workflows, including building, deploying, or managing applications
  • Experience with CI/CD practices
  • Experience with SQL, including stored procedures and data modeling
  • Experience with data governance and data tagging
  • Knowledge of AWS services, such as S3, IAM, EventBridge, Step Functions, or Lambda
  • Ability to work independently and manage tasks with minimal supervision
  • TS/SCI clearance
  • HS diploma or GED

Nice If You Have:
  • Experience with Pipeline Builder, AIP, and Foundry's application development ecosystem
  • Experience with ETL tools, such as dbt and Airflow
  • Experience with NoSQL and graph databases, and DevOps tools and automation practices
  • Experience designing and building data warehouses
  • Experience working in multiple SDLC models, including Agile, Waterfall, Iterative, or Spiral
  • Experience with open table formats, such as Apache Iceberg
  • Experience with infrastructure-as-code, including Terraform or CloudFormation
  • Knowledge of data lakes and lakehouse architectures and database performance concepts, such as partitioning
  • Knowledge of Zero Trust and attribute-based access control (ABAC)

Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI 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 $77,500.00 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.
Not ready to apply? Join our Talent Community and sign up for job alerts.

What Booz Allen Hamilton employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Booz Allen Hamilton logo

About Booz Allen Hamilton

Sourced by ZipRecruiter

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