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Databricks Engineer Jobs in Raleigh, NC (NOW HIRING)

Data Engineer

Raleigh, NC · On-site

$111K - $133K/yr

Experience in designing and optimizing scalable data pipelines using modern platforms like Azure Synapse, Snowflake or Databricks workflows * Programming Languages: Strong proficiency in Python or ...

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 ...

... Engineer - Senior Associate, you will focus on designing and building data infrastructure and ... Databricks Unified Data Analytics Platform for advanced data analytics and visualization ...

Senior Data Engineer

Raleigh, NC · Hybrid

$91K - $163K/yr

We are looking for a hands-on developer who is eager to use modern AI-assisted tools to drive ... within Databricks * Utilize the dbt (data build tool) framework to execute complex data ...

Senior Data Engineer

Raleigh, NC · On-site

$91K - $163K/yr

We are looking for a hands-on developer who is eager to use modern AI-assisted tools to drive ... within Databricks * Utilize the dbt (data build tool) framework to execute complex data ...

Data Engineer

Cary, NC · On-site

$106K - $127K/yr

Exposure to platforms like Databricks, AWS Glue, AWS Sagemaker, Snowpark RESPONSIBILITIES • ... GitLab, Azure DevOps, Terraform, Argo CD o Containerization: Kubernetes, Docker o Data Tools:

Data Engineer

Cary, NC

$106K - $127K/yr

Exposure to platforms like Databricks, AWS Glue, AWS Sagemaker, Snowpark RESPONSIBILITIES ... GitLab, Azure DevOps, Terraform, Argo CDo Containerization: Kubernetes, Dockero Data Tools: Pyspark ...

Data Engineer I

Morrisville, NC · Hybrid

$107K - $128K/yr

... Engineer I owns the revenue data platform that powers analytics and AI across the customer ... Integrate Data Cloud with the Relias Information Hub on Databricks, and integrate and maintain ...

Azure Data Engineer 1-20-

Raleigh, NC · Remote

$117K - $140K/yr

... Databricks. * Knowledge of data integration and transformation techniques. SQL and T-SQL ... Azure Data Engineer Associate, can further validate and enhance these skills. Qualifications:

... Data Engineer - Manager, you will play a pivotal role in transforming raw data into actionable ... Databricks and Snowflake - Guiding team members in data architecture development and database ...

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Databricks Engineer information

See Raleigh, NC salary details

$57.8K

$108.5K

$197.3K

How much do databricks engineer jobs pay per year?

As of Jul 13, 2026, the average yearly pay for databricks engineer in Raleigh, NC is $108,515.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,300.00 and $128,800.00 per year, depending on experience, location, and employer.

What engineer makes $500,000 a year?

Senior Databricks Engineers with extensive experience, specialized skills in big data, cloud platforms, and advanced analytics can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or with significant bonuses and stock options. Such compensation typically requires a combination of technical expertise, leadership roles, and years of industry experience.

Is Databricks Data Engineer in demand?

Databricks Data Engineers are in high demand due to the increasing adoption of cloud-based data platforms and the need for expertise in big data processing, Spark, and cloud environments. Companies seek professionals skilled in data pipeline development, ETL processes, and cloud tools like AWS or Azure, making this a strong job market for qualified candidates.

What are some common challenges faced by Databricks Engineers when working with large-scale data pipelines?

Databricks Engineers often encounter challenges related to optimizing the performance and reliability of large-scale data pipelines. These can include efficiently managing cluster resources, handling data partitioning to prevent bottlenecks, and troubleshooting job failures due to resource constraints or data quality issues. Collaboration with data scientists, analysts, and DevOps teams is essential to ensure seamless integration and deployment of production workflows. Staying current with evolving Databricks features and best practices also plays a key role in overcoming these challenges.

How much does a Databricks engineer make?

A Databricks engineer's salary typically ranges from $100,000 to $150,000 annually, depending on experience, location, and skill level. Senior roles or those with specialized skills in Spark, cloud platforms, or data engineering may earn higher compensation. Salaries can also vary based on industry demand and certifications held.

Is Databricks a high paying job?

A Databricks Engineer typically earns a high salary due to the specialized skills required in cloud computing, big data processing, and Spark platform expertise. Compensation varies based on experience, location, and certifications, but it is generally above average for data engineering roles.

What is a Databricks Engineer?

A Databricks Engineer is a data engineering professional who specializes in using the Databricks platform to build, manage, and optimize data pipelines and analytics solutions. They work with big data technologies like Apache Spark, Delta Lake, and cloud services to process and analyze large datasets efficiently. Their role often involves developing ETL (extract, transform, load) workflows, setting up data lakes, and ensuring data quality and performance for business intelligence and machine learning applications.

What are the key skills and qualifications needed to thrive as a Databricks Engineer, and why are they important?

To thrive as a Databricks Engineer, you need strong expertise in big data processing, cloud platforms (like AWS or Azure), and proficiency with languages such as Python, SQL, and Scala, often supported by a degree in computer science or a related field. Familiarity with Apache Spark, Databricks Workspace, version control systems like Git, and relevant Databricks certifications are typically required. Strong analytical thinking, collaboration, and effective communication skills help you understand business needs and work seamlessly with data teams. These skills ensure efficient data pipeline development, scalable analytics solutions, and successful integration of Databricks into organizational workflows.
What are popular job titles related to Databricks Engineer jobs in Raleigh, NC? For Databricks Engineer jobs in Raleigh, NC, the most frequently searched job titles are:
What cities near Raleigh, NC are hiring for Databricks Engineer jobs? Cities near Raleigh, NC with the most Databricks Engineer job openings:
Infographic showing various Databricks Engineer job openings in Raleigh, NC as of July 2026, with employment types broken down into 89% Full Time, and 11% Contract. Highlights an 78% In-person, 11% Hybrid, and 11% Remote job distribution, with an average salary of $108,515 per year, or $52.2 per hour.

Data Engineer

Kanak Elite Services Inc

Raleigh, NC • On-site

$111K - $133K/yr

Contractor

Re-posted 16 days ago


Job description

Hello There,

My name is Himanshu Sharma, and I serve as the Recruitment Lead at Kanak-IT INC. I am reaching out to share an excellent career opportunity for the role of Data Engineer with our esteemed client. If you are interested then please share your updated resume.

Job Description

Position               : Data Engineer

Location               : Raleigh, NC Onsite (Must be local)

Duration              : 12+ Months

Description

We have some urgent requirements with at least 5 years’ experience  as Data Engineer for the development and optimization of data pipelines, analytics solutions, and cloud-based data platforms.

MANDATORY – MUST HAVE:

  • Experience in designing and optimizing scalable data pipelines using modern platforms like Azure Synapse, Snowflake or Databricks workflows
  • Programming Languages: Strong proficiency in Python or Scala for data processing.
  • SQL Mastery: Advanced query writing, performance tuning, and optimization.
  • Hands-on experience in developing efficient PL/SQL procedures
  • Experience with Programming and Scripting (SQL, T-SQL, and data query optimization)
  • Experience with Azure Data Platform (Azure Data Factory, Azure Data Lake, and Azure SQL Database)
  • Experience with cloud platforms (e.g. AWS and Azure) and associated services for data processing and storage
  • Experience with Power BI.
  • State experience required

Thanks & Regards

Himanshu Sharma

Recruitment Lead

Email : Himanshu01@kanakits.com

LinkedIn : https://www.linkedin.com/in/himanshustaffingexpert/

Kanak IT is an equal opportunity employer. We consider all applicants for employment without regard to citizenship, immigration status, race, gender, disability, or any other protected category.