2

Part Time Data Engineering Jobs in Raleigh, NC (NOW HIRING)

Senior Project Architect

Raleigh, NC · On-site

$96K - $122K/yr

Our architects, engineers, interior designers, consultants, sustainability specialists, and ... Academic, Data Center, Healthcare, Manufacturing, or Science & Technology experience preferred

Youth Fellow #2025717

Durham, NC

$47K - $64K/yr

Today, organizational programming focuses on humanitarian and disaster response, community ... This is a part-time position for 20 hours per week. 70% in office; 30% work from home. ROLE ...

Youth Fellow #2025717

Durham, NC · On-site

$47K - $64K/yr

Today, organizational programming focuses on humanitarian and disaster response, community ... This is a part-time position for 20 hours per week. 70% in office; 30% work from home. ROLE ...

Youth Fellow #2025717

Durham, NC

$47K - $64K/yr

Today, organizational programming focuses on humanitarian and disaster response, community ... This is a part-time position for 20 hours per week. 70% in office; 30% work from home. ROLE ...

Cardiology Tech

Chapel Hill, NC · On-site

$19.78 - $28.12/hr

Performs diagnostic tests to measure the electrical activity of the heart. Part time positions are ... data to printout for interpretation by the physician. 5. Set up and assist physician in ...

JANITOR

Selma, NC · On-site

$16/hr

Full and part time schedule. Monday - Friday, hours may vary. More details upon interview ... Message and data rates may apply. Text STOP to opt out or HELP for help. Terms and conditions:

next page

Showing results 1-20

Part Time Data Engineering information

See Raleigh, NC salary details

$43.3K

$126.1K

$172.5K

How much do part time data engineering jobs pay per year?

As of Jun 23, 2026, the average yearly pay for part time data engineering in Raleigh, NC is $126,095.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,300.00 and $133,700.00 per year, depending on experience, location, and employer.

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

To thrive as a Part Time Data Engineer, you need proficiency in programming languages like Python or SQL, knowledge of database management, and a degree in computer science or a related field. Familiarity with data warehousing tools, ETL processes, and platforms such as AWS, Google Cloud, or Apache Spark is typically required. Strong problem-solving abilities, attention to detail, and effective communication help individuals excel in this flexible role. These skills ensure accurate data pipelines, efficient data processing, and successful collaboration with cross-functional teams, even in a part-time capacity.

Is it possible to work part-time as a data scientist?

Yes, data scientists can work part-time, especially in freelance or consulting roles, or within organizations that offer flexible schedules. However, many data science positions are full-time due to the complexity of projects and the need for continuous collaboration and skill development.

Is it possible to work part-time as an engineer?

Part-time data engineering roles are available, often requiring skills in SQL, Python, and cloud platforms. These positions typically involve flexible schedules and may require prior experience or certifications, depending on the employer's needs.

What is a part-time data engineering job?

A part-time data engineering job involves working fewer hours than a full-time position, typically focusing on building and managing data pipelines, organizing data storage, and ensuring data quality for organizations. Part-time data engineers may work on specific projects or provide support to larger teams, often with flexible schedules. They use programming languages and tools like Python, SQL, and cloud platforms to move, transform, and optimize data. This role is ideal for those seeking work-life balance, students, or professionals looking to gain experience or supplement their income.

Are data engineers still in demand?

Data engineers are currently in high demand due to the increasing reliance on data-driven decision making and the growth of big data technologies. Skills in cloud platforms, programming languages like Python and SQL, and familiarity with tools such as Hadoop and Spark enhance job prospects in this field.

How does a part-time data engineering role typically balance project responsibilities with limited working hours?

In a part-time data engineering position, tasks are often scoped to fit within your available hours, focusing on specific projects or maintenance work rather than broader, ongoing initiatives. You’ll likely collaborate closely with full-time engineers to ensure hand-offs are smooth and that you’re aligned on priorities. Clear communication and proactive time management are essential, as you may need to coordinate across teams or adjust your workload to meet deadlines. Many organizations also provide flexible scheduling and clear documentation practices to help part-time team members stay integrated and productive.

What is the difference between Part Time Data Engineering vs Part Time Data Analysis?

AspectPart Time Data EngineeringPart Time Data Analysis
Required CredentialsTypically requires knowledge of SQL, Python, ETL tools, and cloud platformsRequires skills in SQL, Excel, data visualization tools, and basic statistical knowledge
Work EnvironmentOften involves building data pipelines, managing databases, and working with data infrastructureFocuses on interpreting data, creating reports, and providing insights
Employer & Industry UsageUsed in tech companies, finance, and e-commerce for data infrastructure rolesCommon in marketing, consulting, and business intelligence roles across industries

Part Time Data Engineering involves developing and maintaining data pipelines and infrastructure, requiring technical skills in programming and cloud platforms. In contrast, Part Time Data Analysis centers on interpreting data, creating reports, and providing insights, often using visualization tools. Both roles are essential in data-driven organizations but differ in technical complexity and focus.

What engineers make $500,000?

Senior data engineers, software engineers, and machine learning engineers with extensive experience, specialized skills, and working in high-paying industries or companies can earn $500,000 or more annually. Achieving this level often requires advanced technical expertise, certifications, and sometimes leadership roles or stock options.
What are the most commonly searched types of Data Engineering jobs in Raleigh, NC? The most popular types of Data Engineering jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Part Time Data Engineering jobs? Cities near Raleigh, NC with the most Part Time Data Engineering job openings:
Infographic showing various Part Time Data Engineering job openings in Raleigh, NC as of June 2026, with employment types broken down into 89% Full Time, 8% Part Time, 1% Temporary, and 2% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $126,095 per year, or $60.6 per hour.
Institutional Analyst

Full-time, Part-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 5 days ago


North Carolina State University rating

6.8

Company rating: 6.8 out of 10

Based on 33 frontline employees who took The Breakroom Quiz

390th of 539 rated colleges and universities


Job description

Posting Details
Posting Information
Posting Number
PG194493EP
Internal Recruitment
No
Working Title
Institutional Analyst
Anticipated Hiring Range
Commensurate with education and experience
Work Schedule
Monday through Friday, 8 am to 5 pm (additional work outside of standard hours may be required due to business needs)
Job Location
Raleigh, North Carolina
Department
University Data and Analytics
About the Department
University Data and Analytics (UDA) is NC State's institutional research office and the responsible unit for university-level data and analytics. UDA drives effective institutional planning, management, and accountability by:
  • Empowering leaders and decision makers with the accurate, timely, and actionable information needed to advance the university's mission.
  • Maximizing the value and availability of institutional data resources for the broader NC State community.
  • Providing NC State's stakeholders, partners, and external organizations with official university data.

Wolfpack Perks and Benefits
As a Pack member, you belong here, and can enjoy exclusive perks designed to enhance your personal and professional well-being. As you consider this opportunity, we encourage you to review our Employee Value Propositionand learn more about what makes NC State the best place to learn and work for everyone.
What we offer:
  • Medical, Dental, and Vision
  • Flexible Spending Account
  • Retirement Programs
  • Disability Plans
  • Life Insurance
  • Accident Plan
  • Paid Time Off and Other Leave Programs
  • 12 Holidays Each Year
  • Tuition and Academic Assistance
  • And so much more!

Attain Work-life balance with our Childcare benefits, Wellness & Recreation Membership, and Wellness Programs that aim to build a thriving wolfpack community.
Disclaimer: Perks and Benefit eligibility is based on Part-Time or Full-Time Employment status. Eligibility and Employer Sponsored Plans can be found within each of the links offered.
Essential Job Duties
The Institutional Analyst position is part of the Institutional Reporting team in University Data and Analytics (UDA). The Institutional Analyst works with other UDA teams to support and enhance comprehensive reporting and decision support for the university community, leadership, and other stakeholders. The Institutional Analyst should have a broad understanding of higher education and the collection, interpretation, and analysis of institutional data. The Institutional Analyst will provide timely and accurate information to university stakeholders by performing a variety of institutional reporting activities in collaboration with other UDA members.
The Institutional Analyst provides analysis and interpretation of the data; promotes accuracy, integrity and consistency of data and data products; and effectively reports and communicates information to a variety of constituents. The ideal candidate will have experience in the phases of enterprise data life cycles in higher education, including data acquisition, cleaning and processing, documentation, data validation and analysis, presentation, and user support.
Specific duties of the position include:
  • Support the reporting and analysis needs of campus stakeholders, which may include activities such as fulfilling campus routine and ad-hoc data requests and preparation of related summaries and reports.
  • Respond to federal and state reporting, national rankings and national study requirements throughout the year.
  • Support reporting requirements by understanding the content, format, and data definitions of reporting entities, as well as institutional data and related products.
  • Conduct data analysis and produce reports for internal and external constituencies that accurately aggregates, summarizes, and conveys NC State's student, curriculum, employee, and other institutional data.
  • Develop, streamline, and automate processes for managing, maintaining, and producing data and analytic reports.
  • Routinely update standardized information resources such as reports, websites, or dashboards.
  • Create documentation for all programs, processes, datasets, reports, and analytical products.
  • Support users of UDA's data and analytical products through development and maintenance of effective and efficient programming, in addition to high quality user-friendly documentation and instructions.
  • Serve as a resource and point of contact to campus constituents regarding UDA reporting products.
  • Conduct data validation and data quality reviews of reports and institutional data.

This is a reposting. Applicants do not need to reapply to be considered
Other Responsibilities
  • Other duties as assigned.

Qualifications
Minimum Education and Experience
  • Master's degree and at least one year of relevant experienceOR
  • Bachelor's degree with at least two years of relevant experience OR
  • An equivalent combination of education, training, and relevant experience

All degrees must be received from appropriately accredited institutions.
Other Required Qualifications
  • Experience with analytics-related programming languages (such as SAS, SQL)
  • Experience with data visualizations (such as Power BI, SAS VA, Tableau)
  • Experience with querying, transforming, and analyzing data to produce usable information
  • Ability to understand and work with complex, cross-functional data
  • Ability to create and update analytics-related documentation
  • Ability to ensure data accuracy, quality, and integrity
  • Strong communication skills and ability to understand the needs of administration and the university community
  • Ability to meet deadlines and manage competing priorities in a fast-paced environment
  • Ability to follow security procedures and work with secure/confidential data
  • Self-motivated, with high standards for rigorous and detailed work
  • Ability to collaborate with others and to work in a team environment

Preferred Qualifications
  • At least one to two years of professional experience working with data to produce reports, dashboards, or perform data analysis
  • At least one to two years of professional experience with analytics-related languages (such as SAS, SQL)
  • Experience in higher education in a professional role utilizing or handling university data

Required License(s) or Certification(s)
N/A
Valid NC Driver's License required
No
Commercial Driver's License required
No
Recruitment Dates and Special Instructions
Job Open Date
02/18/2026
Anticipated Close Date
Open Until Filled
Special Instructions to Applicants
Please complete the required application fully and attach a cover letter, resume, and contact information for at least 3 professional references.
This is a reposting. Applicants do not need to reapply to be considered
Position Details
Position Number
00108767
Position Type
EPS/SAAO
Full Time Equivalent (FTE) (1.0 = 40 hours/week)
1.0
Appointment
12 Month Recurring
Mandatory Designation - Adverse Weather
Non Mandatory - Adverse Weather
Mandatory Designation - Emergency Events
Non Mandatory - Emergency Event
Department ID
310101 - University Data and Analytics
EEO
NC State University is an equal opportunity employer. All qualified applicants will receive equal opportunities for employment without regard to age, color, disability, gender identity, genetic information, national origin, race, religion, sex (including pregnancy), sexual orientation, and veteran status. The University encourages all qualified applicants, including protected veterans and individuals with disabilities, to apply. Individuals with disabilities requiring disability-related accommodations in the application and interview process are welcome to contact 919-513-0574 to speak with a representative of the Office of Equal Opportunity.
If you have general questions about the application process, you may contact Human Resources at (919) 515-2135 or workatncstate@ncsu.edu.
Final candidates are subject to criminal & sex offender background checks. Some vacancies also require credit or motor vehicle checks. Degree(s) must be obtained prior to start date in order to meet qualifications and receive credit.
NC State University participates in E-Verify. Federal law requires all employers to verify the identity and employment eligibility of all persons hired to work in the United States.

What North Carolina State University employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


North Carolina State University logo

About North Carolina State University

Sourced by ZipRecruiter

North Carolina State University (NCSU), located in Raleigh, NC, US, is a leading educational institution with a strong emphasis on research, academics, and public service. Established in 1887, NCSU operates in the education industry and endeavors to foster student success, and promote economic development by providing high-quality, affordable education, and conducting groundbreaking research across a variety of disciplines. With more than 100 majors, its academic offerings range from undergraduates to postgraduates along with doctoral studies - in various fields like engineering, natural resources, humanities, and social sciences. NCSU is firmly anchored on the core values of respect, responsibility, integrity, and innovation. Its mission is to create economic, societal, and intellectual prosperity for the people of North Carolina and the nation.

Industry

Colleges, universities, and professional schools

Company size

5,001 - 10,000 Employees

Headquarters location

Raleigh, NC, US

Year founded

1887