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Entry Level Databricks Data Engineer Jobs in Raleigh, NC

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Power Systems Engineer I (Entry Level)

Raleigh, NC · On-site

$70K - $88K/yr

Power System Engineer (Entry Level) Launch Your Career in Power Engineering SE Engineering, PC is ... care, data centers, and water/wastewater--this is an excellent opportunity to build your career.

SynergisticIT

Software Engineer (Remote)

Durham, NC

... for entry-level software programmers, Java full stack developers, Python/Java developers, data ... NLP, text mining, Tableau, PowerBI, Databricks, Tensorflow. For Java/full stack/software positions ...

Wood Plc

Entry Level Geotechnical Engineer

Durham, NC · On-site

... an Entry-level Geotechnical Engineer for geotechnical engineering work to be based in our Durham ... Develop field data in support of geotechnical investigations and design as directed Skills ...

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Entry Level Databricks Data Engineer information

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$29.2K

$67.4K

$114.7K

How much do entry level databricks data engineer jobs pay per year?

As of Jun 18, 2026, the average yearly pay for entry level databricks data engineer in Raleigh, NC is $67,425.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,100.00 and $76,300.00 per year, depending on experience, location, and employer.

What is an Entry Level Databricks Data Engineer?

An Entry Level Databricks Data Engineer is a professional who uses Databricks, a cloud-based data analytics platform, to design, build, and maintain data pipelines. They are responsible for preparing and processing large datasets, ensuring data quality, and enabling analytics and machine learning workflows. Typically, they work with tools such as Apache Spark, SQL, and Python, and collaborate with data analysts and data scientists to deliver data-driven solutions. As entry-level engineers, they are expected to have foundational knowledge of data engineering concepts and be eager to learn more advanced techniques on the job.

What are the key skills and qualifications needed to thrive as an Entry Level Databricks Data Engineer, and why are they important?

To thrive as an Entry Level Databricks Data Engineer, you need a foundational understanding of data engineering concepts, SQL, and Python or Scala, typically supported by a relevant degree in computer science or a related field. Familiarity with Databricks, Apache Spark, cloud platforms (like AWS or Azure), and optional certifications such as Databricks Data Engineer Associate are highly valuable. Strong analytical thinking, attention to detail, and effective communication skills help you collaborate with teams and solve complex data challenges. These skills and qualities are essential for building reliable data pipelines, ensuring data quality, and delivering actionable insights in a fast-paced environment.

What are some common challenges faced by entry-level Databricks Data Engineers, and how can they effectively overcome them?

Entry-level Databricks Data Engineers often face challenges such as learning to optimize Apache Spark jobs, managing complex data pipelines, and understanding cloud-based workflows. To overcome these, it's important to dedicate time to hands-on practice with Databricks notebooks, collaborate closely with more experienced engineers, and actively participate in code reviews and team discussions. Leveraging Databricks' extensive documentation and community forums can also help troubleshoot issues and stay updated on best practices.
What are the most commonly searched types of Databricks Data Engineer jobs in Raleigh, NC? The most popular types of Databricks Data Engineer jobs in Raleigh, NC are:
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Entry Level Databricks Data Engineer jobs near you
Junior java developer spring boot and AI focus/Data engineer

Junior java developer spring boot and AI focus/Data engineer

SynergisticIT

Raleigh, NC • On-site, Remote

$58K - $76K/yr

Other

Posted 19 days ago

Job description

“Ghosted by companies and No Interviews? Get Interviews -Hired with a Process ! Many job seekers assume the tech market has shut down, but the truth is companies are still hiring — they’re just being more selective.

Employers want candidates who demonstrate practical skills, confidence, and readiness. That means only the most prepared, polished, and employer‑ready candidates get through. Getting hired in tech isn’t just about knowing how to code — it’s about proving you can deliver value from day one.

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 Colleges don’t teach it. 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. Since 2010, SynergisticIT has helped candidates land full-time roles with many major employers.

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?

SynergisticIT focuses on 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: Stronger project narratives (what you built, why it matters, how it works) Stronger technical foundations (DSA, OOP, APIs, SQL, pipeline design) 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. Please read our blogs Why do Tech Companies not Hire recent Computer Science Graduates | SynergisticIT What Recruiters Look for in Junior Developers | SynergisticIT Software engineering or Data Science as a career?

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’re tired of failing interviews and want a structured plan to convert interviews into offers, start here: Event videos (OCW, JavaOne, Gartner): USA Today feature Discover JOPP: Job Placement Program Contact Us 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. 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.

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