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Seasonal Entry Level Data Engineering Jobs in Raleigh, NC

Management Information Systems, Computer and Information Science, Systems Engineering, Electrical ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

... Data Scientists. We welcome candidates with all visas and citizens to apply. Who Should Apply ... Recent Computer science/Engineering /Mathematics/Statistics or Science Graduates looking to make ...

For entry-level jobseekers to get interviews and jobs, they need to stand out by having strong ... Recent graduates in Computer Science, Engineering, Mathematics, or Statistics who want a career in ...

... an Entry-level Geotechnical Engineer for geotechnical engineering work to be based in our Durham ... more senior engineering professionals * Develop field data in support of geotechnical ...

Tableau/Power BI developer - Junior

Raleigh, NC · On-site

$65K - $84K/yr

Currently, we are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Data Engineers, Machine Learning engineers for ...

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Seasonal Entry Level Data Engineering information

See Raleigh, NC salary details

$10

$18

$26

How much do seasonal entry level data engineering jobs pay per hour?

As of Jul 7, 2026, the average hourly pay for seasonal entry level data engineering in Raleigh, NC is $18.52, according to ZipRecruiter salary data. Most workers in this role earn between $15.67 and $20.82 per hour, depending on experience, location, and employer.

What is the difference between Seasonal Entry Level Data Engineering vs Data Analyst?

AspectSeasonal Entry Level Data EngineeringData Analyst
Required CredentialsBasic knowledge of SQL, Python, or similar; often no formal certification neededProficiency in SQL, Excel, and data visualization tools; may have certifications in analytics
Work EnvironmentData engineering teams, tech companies, or IT departments; project-based seasonal rolesBusiness departments, consulting firms, or finance; focus on data interpretation
Employer & Industry UsageUsed in tech, finance, retail for short-term data infrastructure projectsCommon across industries for reporting, insights, and decision-making

Seasonal Entry Level Data Engineering roles focus on building and maintaining data pipelines, often requiring basic technical skills. Data Analysts interpret data to provide insights, emphasizing analysis and visualization. While both roles involve working with data, their core responsibilities and skill sets differ, with data engineering being more technical and infrastructure-oriented, and data analysis centered on interpreting data for business decisions.

What are popular job titles related to Seasonal Entry Level Data Engineering jobs in Raleigh, NC? For Seasonal Entry Level Data Engineering jobs in Raleigh, NC, the most frequently searched job titles are:
What cities near Raleigh, NC are hiring for Seasonal Entry Level Data Engineering jobs? Cities near Raleigh, NC with the most Seasonal Entry Level Data Engineering job openings:
Infographic showing various Seasonal Entry Level Data Engineering job openings in Raleigh, NC as of July 2026, with employment types broken down into 1% As Needed, 79% Full Time, 15% Part Time, 1% Temporary, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $38,523 per year, or $18.5 per hour.
Entry Level Data Analyst (Remote)

Entry Level Data Analyst (Remote)

SynergisticIT

Durham, NC • On-site

Other

Posted 4 days ago


Job description

Junior Data Scientist — Move From ML Courses to Real Job Readiness Have you completed courses in Python, machine learning, statistics, or data science but still feel unsure about applying for jobs? Many candidates know the theory behind models, but employers want to see whether you can clean data, explore datasets, choose the right model, evaluate results, explain tradeoffs, and communicate findings in a business-friendly way. SynergisticIT is seeking candidates interested in junior data science roles involving Python, SQL, machine learning, statistics, data visualization, model evaluation, NLP, predictive analytics, and applied AI concepts.

This opportunity is ideal for candidates who want to move beyond tutorials and create a stronger, more employer-ready profile. Since 2010, Synergisticit has helped thousands of candidates land full-time jobs at tech leaders like Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Client, Paypal, Banking, Wayfair, Client, Client and hundreds more with Job offers of $95k to $154k. Synergisticit focuses on closing the gap between your tech skills and what employers want now.

Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/Data Engineers/ Data Scientists, Machine Learning engineers for full time positions with clients. We Focus on Java /Full stack/Devops and Data Science /Data Engineers/Data analysts/BI Analysts/ Machine learning/AI candidates Ideal Candidates: Recent grads in CS, Engineering, Math, or Statistics with limited or no job experience Jobseekers who had layoffs due to Downsizing and want to get in demand tech stack Professionals seeking a career switch to tech Candidates with career gaps or lacking real-world experience Individuals looking to boost their skill portfolio for better job prospects Computer Science grads with limited or no job experience Students who recently finished their Bachelor's or Master's programs Those struggling to land interviews despite having experience Please check below links: Event videos (OCW, JavaOne, Gartner): https://fast.wistia.com/embed/channel/k4mlq69ekl USA Today feature Client JOPP: https://www.synergisticit.com/jopp/ Contact: https://www.synergisticit.com/contact-us/ please read our blogs Why do Tech Companies not Hire recent Computer Science Graduates | https://www.synergisticit.com/why-tech-companies-dont-hire-recent-cs-graduates/ Technical Skills or Experience? | Which one is important to get a Job?

| https://www.synergisticit.com/tech-skill-or-experience-which-one-is-more-important-for-a-jobseeker/ SynergisticIT JOPP is good for aspiring data scientists because it helps candidates connect learning with hiring expectations. The program's placement-focused approach supports practical skill development, project work, interview preparation, and profile positioning so candidates can better compete in a crowded data science market. Build the confidence, projects, and preparation needed for data science opportunities— Contact us Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req.

Resume submissions may be shared with our JOPP team database also. Please unsubscribe if contacted or if you don't want to be contacted please don't submit your resume.