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Entry Level Data Engineering Jobs in Raleigh, NC

Pwc

Data Engineer - Senior Associate

Raleigh, NC

$77K - $202K/yr

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 ...

Pwc

AI & GenAI Data Scientist - Manager

Raleigh, NC · On-site

$99K - $232K/yr

In this role at PwC, you will apply data, algorithms, and software engineering to build and deploy ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

SE Engineering, PC

Be Seen First

Power Systems Engineer I (Entry Level)

Raleigh, NC · On-site

$70K - $88K/yr

... Your Career in Power Engineering SE Engineering, PC is looking for a motivated Power System ... care, data centers, and water/wastewater--this is an excellent opportunity to build your career.

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Entry Level Data Engineering information

See Raleigh, NC salary details

$11

$19

$30

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

As of Jun 23, 2026, the average hourly pay for entry level data engineering in Raleigh, NC is $19.67, according to ZipRecruiter salary data. Most workers in this role earn between $15.87 and $21.25 per hour, depending on experience, location, and employer.

What engineer makes $500,000 a year?

Highly experienced data engineers working in senior or specialized roles at large tech companies or financial institutions can earn salaries approaching or exceeding $500,000 annually, often including bonuses and stock options. Such compensation typically requires advanced skills in cloud platforms, big data tools, and extensive industry experience. These roles are rare and usually involve leadership responsibilities or niche expertise.

Is AI replacing data engineers?

AI is automating certain tasks within data engineering, such as data cleaning and pipeline management, but it does not replace the need for data engineers. Data engineers are essential for designing, building, and maintaining data infrastructure, and their skills in programming, database management, and system architecture remain in high demand. AI tools serve as complements that enhance efficiency rather than substitutes for the core responsibilities of data engineers.

What is an Entry Level Data Engineering job?

An Entry Level Data Engineering job involves designing, building, and maintaining data pipelines that collect, process, and store data for analysis. Professionals in this role work with databases, ETL (Extract, Transform, Load) processes, and cloud platforms to ensure data is accessible and reliable. They often collaborate with data analysts and scientists to support business intelligence and machine learning initiatives. Common skills include SQL, Python, and experience with big data tools like Apache Spark or AWS. This role serves as a foundation for more advanced data engineering positions.

What types of projects and tasks can I expect to work on as an Entry Level Data Engineer?

As an Entry Level Data Engineer, you will typically assist with building data pipelines, cleaning and preparing data for analysis, and supporting the migration of data into cloud or on-premises data warehouses. Your daily tasks may include collaborating with data analysts, troubleshooting data quality issues, and learning to automate data flow processes. You’ll often work alongside more senior engineers, gaining exposure to real-world datasets and the software engineering practices that keep data infrastructure running smoothly. This hands-on experience offers a solid foundation for advanced data engineering roles as your career progresses.

Can I get a data engineer job with no experience?

Entry level data engineering roles typically require some knowledge of programming languages like Python or SQL, as well as familiarity with data storage and processing tools such as Hadoop or Spark. While prior experience is often preferred, candidates with relevant internships, certifications, or strong technical skills can sometimes qualify for entry-level positions. Building a solid foundation in data concepts and gaining hands-on experience can improve chances of securing such roles.

What are the key skills and qualifications needed to thrive in the Entry Level Data Engineering position, and why are they important?

To thrive as an Entry Level Data Engineer, you need a solid understanding of programming languages like Python or SQL, basic data modeling, and a relevant degree such as computer science or information technology. Familiarity with ETL tools, cloud platforms like AWS or Azure, and introductory certifications in big data technologies can be advantageous. Attention to detail, strong problem-solving abilities, and effective communication skills are valuable soft skills for this role. These competencies enable you to process and manage large data sets accurately, collaborate with teams, and support data-driven decision-making.

Is data engineering an entry level job?

Data engineering can be an entry level role, especially for those with foundational skills in programming, databases, and cloud platforms. However, many positions require some experience with data pipelines, scripting, and tools like SQL, Python, or Spark, so entry-level candidates should focus on developing these skills and relevant certifications.
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 are popular job titles related to Entry Level Data Engineering jobs in Raleigh, NC? For Entry Level Data Engineering jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Entry Level Data Engineering jobs in Raleigh, NC look for? The top searched job categories for Entry Level Data Engineering jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Entry Level Data Engineering jobs? Cities near Raleigh, NC with the most Entry Level Data Engineering job openings:
Entry Level Data Engineering jobs near you
Infographic showing various Entry Level Data Engineering job openings in Raleigh, NC as of June 2026, with employment types broken down into 2% As Needed, 60% Full Time, 37% Part Time, and 1% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $40,923 per year, or $19.7 per hour.
junior data scietist/ENtry level java backend

junior data scietist/ENtry level java backend

SynergisticIT

Cary, NC • On-site, Remote

Other

This job post has expired today. Applications are no longer accepted.

Job description

"Stop Failing Interviews-Start Owning Them"
For jobseekers who get interviews but don't convert them into offers
If you're getting interviews but not offers, you're closer than you think-yet that final gap can feel brutal. Many candidates spend months learning frameworks and finishing courses, only to freeze during technical screens, system questions, or behavioral rounds. The result is painful: "almost hired" over and over again, while the confidence drops. The truth is that interviewing is its own skill, and most bootcamps don't teach it deeply. They teach how to code-but not how to think out loud, structure answers, debug in real time, defend trade-offs, and communicate like an engineer.
That's exactly where SynergisticIT's Job Placement Program (JOPP) is positioned differently. Since 2010, SynergisticIT has helped candidates land full-time roles with many major employers, and the point of JOPP is not simply training-it's to align your skills with what interview panels actually evaluate. around 30% of JOPP candidates previously tried other bootcamps or platforms like Udemy/Coursera without job success-often because those programs focus on learning checklists, not hiring performance.
The best way to understand this: you can be smart and still fail interviews if you don't know what the interview is truly measuring. Interviews rarely test "can you write code at home." They test:
  • Can you solve problems under constraints and time pressure?
  • Can you communicate your approach clearly?
  • Can you handle edge cases and complexity?
  • Can you explain trade-offs and design choices?
  • Can you show job-ready project depth, not just toy examples?
That's why a job-focused program must include more than training. SynergisticIT's JOPP emphasizes end-to-end preparation for roles such as entry-level software programmers, Java full stack developers, Python/Java developers, Data Analysts, Data Engineers, Data Scientists, and Machine Learning Engineers. The focus areas include Java / Full Stack / DevOps and Data tracks like Data Engineering, Data Analytics/BI, ML/AI, because those are the roles employers continue to hire for.
If your pattern is "I reach interviews but don't clear them," you likely need three upgrades:
  1. Stronger project narratives (what you built, why it matters, how it works)
  2. Stronger technical foundations (DSA, OOP, APIs, SQL, pipeline design)
  3. Mock interview reps (realistic simulation, feedback, improvement loops)
Many jobseekers underestimate how much hiring is about clarity. You don't need to be perfect-you need to show you can think, collaborate, and deliver. That's why guided mock interviews and structured interview coaching can be a game-changer.
Ideal candidates for this version include:
  • Candidates who get interviews but repeatedly fall short
  • Jobseekers stuck in "screen round limbo"
  • Developers who panic during live coding
  • Candidates who can build projects but struggle to explain them
  • Professionals who haven't interviewed in years and feel rusty
  • Career changers who fear "I'm behind CS grads" (often untrue with support)
SynergisticIT provides support for candidates navigating STEM OPT extension, H1B filing, and Green Card processes (where applicable), which can matter when timing is critical.
If you want to explore the program directly, here are the key links:
  • Job Placement Program (JOPP):
  • Java Job Placement Program
  • Data Science / Data Jobs Program
  • Event videos (OCW, JavaOne, Gartner):
  • USA Today feature
If you're tired of failing interviews and want a structured plan to convert interviews into offers, start here:
Contact SynergisticIT: https://www.synergisticit.com/contact-us/
Because getting hired isn't about trying harder-it's about preparing smarter, practicing correctly, and having the right guidance.

Apply