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Entry Level Databricks Data Engineer Jobs in Raleigh, NC

... engineers. Responsibilities : • Conduct comprehensive data analysis, create data mappings ... Databricks to query and analyze large datasets, writing efficient and complex SQL queries • ...

Data Engineer

Raleigh, NC · On-site

$111K - $133K/yr

Together. Summary The Data Engineer, Solutions & Data role designs, builds, and operates data ... Data pipeline tooling and cloud data services experience (Azure Data Factory, Azure Databricks ...

Data Analyst

Raleigh, NC · On-site

$27 - $28/hr

Open to entry-level through senior candidates; no minimum or maximum years of experience required ... Databricks * Experience with automation and data engineering workflows. * Strong analytical and ...

In JOPP, the demand typically includes roles such as entry-level software programmer, Java full stack developer, Python/Java developer, data analyst, data engineer, data scientist, and machine ...

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 ...

Business Data Analyst

Cary, NC · On-site

$60 - $65/hr

Exposure to Databricks or Azure cloud environments with the ability to write SQL code in a cloud ... Basic knowledge of writing syntaxes and a solid background in programming languages. * Strong ...

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Entry Level Databricks Data Engineer information

See Raleigh, NC salary details

$29.2K

$67.4K

$114.7K

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

As of Sep 9, 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?

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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For Entry Level Databricks Data Engineer jobs in Raleigh, NC, the most frequently searched job titles are:

What job categories do people searching Entry Level Databricks Data Engineer jobs in Raleigh, NC look for?

The top searched job categories for Entry Level Databricks Data Engineer jobs in Raleigh, NC are:

What cities near Raleigh, NC are hiring for Entry Level Databricks Data Engineer jobs?

Cities near Raleigh, NC with the most Entry Level Databricks Data Engineer job openings:

Infographic showing various Entry Level Databricks Data Engineer job openings in Raleigh, NC as of August 2026, with employment types broken down into 58% Full Time, 21% Part Time, and 21% Contract. Highlights an 79% In-person, and 21% Remote job distribution, with an average salary of $67,425 per year, or $32.4 per hour.

Databricks Data Specialist

Raleigh, NC • On-site

Damco Solutions
IT Services • 5 - 10K employees

Full-time

Re-posted 9 days ago


Job description

Job Summary:
Damco Solutions is seeking a skilled Data Analyst with strong experience in Azure Databricks to support the creation of data aggregations, dashboards, and reports. The role involves collaborating with stakeholders, developing business requirements, and ensuring data quality and integrity while working closely with data engineers.
Responsibilities:
• Conduct comprehensive data analysis, create data mappings, develop dashboards, and ensure data quality and integrity
• Leverage Spark SQL within Databricks to query and analyze large datasets, writing efficient and complex SQL queries
• Collaborate closely with data engineers to design and deliver high-quality data products
• Develop detailed data mappings to support the integration and transformation of data from diverse sources into structured, analysis-ready formats
• Design and build intuitive, informative dashboards using tools such as Power BI or Databricks' native visualization tools to effectively communicate insights
• Build Gold-layer data products to support custom-built dashboards, APIs, and UI tools
• Create clear and comprehensive documentation for data pipelines, mappings, models, and dashboard functionality
• Perform statistical analysis, data mining, and machine learning to uncover patterns, trends, and actionable insights
• Develop and implement predictive models, algorithms, and advanced analytical tools to address specific business challenges
Qualifications:
Required:
• Strong understanding of data science concepts, including statistical learning and machine learning algorithms
• Hands-on experience designing, deploying, and managing Azure Databricks architecture in enterprise environments
• Proficiency in SQL and Python for developing queries, data transformations, and interactive dashboards
• Experience with techniques like dimensional modeling, entity-relationship modeling, normalization / denormalization, or Data Vault
• Excellent communication skills with proven ability to collaborate with cross-functional teams and translate business needs into technical solutions
Preferred:
• Databricks Data Analyst Associate Certification
Company:
Damco Solutions is a provider of IT solutions, services, and products. Founded in 1996, the company is headquartered in Plainsboro, USA, with a team of 1001-5000 employees. The company is currently Late Stage.