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Seasonal Entry Level Data Engineering Jobs in Raleigh, NC

Data Analyst

Raleigh, NC · On-site

$27 - $28/hr

Data Analytics / Data Engineer Contractor This role supports two major system overhaul projects and ... Open to entry-level through senior candidates; no minimum or maximum years of experience required ...

... 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 ...

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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 Aug 26, 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.

Can I get a seasonal entry level data engineering job with no experience?

Securing a seasonal entry-level data engineering position without experience can be challenging, as these roles typically require familiarity with tools like SQL, Python, or cloud platforms. However, candidates with relevant coursework, certifications, or internships may improve their chances, especially if they demonstrate a strong willingness to learn and foundational technical skills.

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 job categories do people searching Seasonal Entry Level Data Engineering jobs in Raleigh, NC look for?

The top searched job categories for Seasonal Entry Level Data Engineering jobs in Raleigh, NC 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, 83% Full Time, 12% Part Time, 1% Temporary, and 3% 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.

$27 - $28/hr

Other

Posted 5 days ago


Job description

Location: Raleigh, NC Salary: $27.00 USD Hourly - $28.00 USD Hourly Description: Our client is currently seeking a Data Analyst
Job Summary: Data Analytics / Data Engineer Contractor
This role supports two major system overhaul projects and is expected to last at least 6 months, likely closer to 12 months. The manager is seeking someone who can quickly learn the organization's systems, become an independent contributor, and provide support across data analytics, automation, and reporting initiatives.
Additional Details
  • Interview Process: Typically one 45-minute virtual interview (sometimes 30 minutes). A second round may occur if needed.
  • Work Schedule: Hybrid, 2 days onsite and 3 days remote.
  • Experience Level: Open to entry-level through senior candidates; no minimum or maximum years of experience required if skills and education align.
  • Industry Experience: No specific industry background required.

Key Responsibilities
  • Develop and execute SQL queries for data analysis and reporting.
  • Work within Snowflake to access, manage, and analyze data.
  • Build and maintain automation scripts using Python.
  • Utilize Databricks for data processing and scripting activities (nice-to-have, can be learned if strong Python skills are present).
  • Create dashboards and data visualizations using Power BI.
  • Support large-scale system modernization projects.
  • Communicate effectively with team members and stakeholders.
  • Quickly learn business processes, systems, and project requirements.

Required Skills
  1. SQL (Non-Negotiable)
    • Strong SQL querying experience is essential.
    • Snowflake experience is preferred, but strong SQL skills can substitute since Snowflake is heavily SQL-based.
  2. Python (Non-Negotiable)
    • Used for automation and scripting.
    • Strong to advanced Python skills are highly preferred.
  3. Power BI
    • Dashboard development and data visualization.
    • Experience with DAX is beneficial.

Preferred Skills
  • Snowflake
  • Databricks
  • Experience with automation and data engineering workflows.
  • Strong analytical and problem-solving abilities.

Soft Skills
  • Excellent communication skills.
  • Fast learner who can ramp up quickly.
  • Ability to work independently after initial onboarding.
  • Strong collaboration skills.

Education Requirements
  • Minimum Bachelor's Degree in:
    • Computer Science
    • Computer Engineering
    • Industrial Engineering
    • Or a related technical discipline

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