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Databricks Engineer Jobs in Raleigh, NC (NOW HIRING)

DATAECONOMY

Senior Data Engineer - Databricks

Raleigh, NC · On-site

$54.25 - $71.75/hr

Strong Python (PySpark) and SQL programming * Databricks -- Spark, Delta Lake, Workflows, Unity Catalog * CI/CD, Git, job orchestration * Cloud experience -- AWS, Azure, or GCP * 7-10+ years in data ...

New

Damco Solutions

Databricks Data Specialist

Raleigh, NC · On-site

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

GEI Consultants

AI Engineer

Cary, NC · On-site

$110K - $150K/yr

Azure or Databricks certifications (e.g., Azure AI Engineer Associate, Azure Solutions Architect Expert, Databricks ML Professional, Databricks Data Engineer Professional) are a plus. We are GEI.

Scorpion Therapeutics

Senior Data Engineer

Chapel Hill, NC · On-site

$88K - $119K/yr

Design, build, and optimize ETL/ELT pipelines using Databricks and Azure Data Factory to support ... Provide technical guidance and mentorship to junior data engineers and other team members ...

PROLIM Global Corporation

Senior Azure Data Engineer

Cary, NC · On-site

$107K - $128K/yr

We are seeking an experienced Senior Azure Data Engineer with strong expertise in Azure Databricks, Azure Data Factory (ADF), Azure Data Lake, Kafka, Spark, SQL, Python, and PySpark . The ideal ...

GEI Consultants

Data Engineer

Cary, NC · On-site

$90K - $150K/yr

Azure or Databricks certifications (e.g., Azure Data Engineer Associate, Azure Solutions Architect Expert, Databricks Data Engineer Professional) are a plus. We are GEI. Some of the world's most ...

GEI Consultants

Data Engineer

Cary, NC · On-site

$106K - $127K/yr

Azure or Databricks certifications (e.g., Azure Data Engineer Associate, Azure Solutions Architect Expert, Databricks Data Engineer Professional) are a plus. We are GEI. Some of the world's most ...

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All JobsDatabricks Engineer JobsDatabricks Engineer Jobs in Raleigh, NC

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 Sep 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 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?

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 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 $90,000 to $150,000 annually, depending on experience, location, and skill level. Senior roles or those with specialized skills in Spark, cloud platforms, and data engineering can earn higher compensation, often including bonuses and benefits.

Is a Databricks engineer in demand?

Databricks engineers are in high demand due to the growing adoption of cloud-based data analytics and machine learning platforms. They typically require skills in Spark, SQL, and cloud environments like AWS or Azure, making them valuable in data-driven organizations across various industries.

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 job categories do people searching Databricks Engineer jobs in Raleigh, NC look for?

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

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

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

Databricks Engineer jobs near you
Infographic showing various Databricks Engineer job openings in Raleigh, NC as of September 2026, with employment types broken down into 89% Full Time, and 11% Contract. Highlights an 67% In-person, 11% Hybrid, and 22% Remote job distribution, with an average salary of $108,515 per year, or $52.2 per hour.

Senior or Lead Azure Databricks Engineer with Python and Spark - W2 Role

Raleigh, NC • On-site

Saransh Inc
IT Services • 51 - 200 employees
Learn more about Saransh Incexternal

Contractor

Re-posted 28 days ago

Job description

Role: Senior / Lead Azure Databricks Engineer with Python & Spark
Location: Raleigh, NC (Onsite from Day 1)
Job Type: W2 Contract
 
 
Note: Only Visa Independent candidates are required (No C2C or Third-party candidates)
 
 
Experience Level: Senior (Min 10 plus yrs with Azure Data)
 

Main skill: Data Software Engineering

Skill Spec: DSE Python Azure Databricks

 
Must have skills (Mandatory):
  • Apache Spark
  • Python
  • Azure Data Factory
  • Azure SQL Microsoft
  • Azure Synapse Analytics
  • ETL/ELT Solutions
Nice to have skills:
  • Apache Kafka
  • CI/CD
 
Experience & Qualifications:
  • Expert level understanding of Azure Data Factory, Azure Synapse, Azure SQL, Azure Data Lake, and Azure App Service
  • Working knowledge of Python
  • Expert level skills writing and optimizing complex SQL
  • Experience with complex data modeling, ETL design, and using large databases in a business environment
  • Experience with building data pipelines and applications to stream and process datasets at low latencies
  • Fluent with Big Data technologies like Spark, Kafka and Hive
  • Designing and building data pipelines using API ingestion and Streaming ingestion methods
  • Knowledge of Dev-Ops processes (including CI/CD) and Infrastructure as code
  • Experience in developing NoSQL solutions using Azure Cosmos DB
  • Thorough understanding of Azure and AWS Cloud Infrastructure offerings
Key Responsibilities:
  • Design and implement scalable and secure data processing pipelines using Azure Data Factory, Azure Databricks, and other Azure services
  • Manage and optimize data storage using Azure Data Lake Storage, Azure SQL Data Warehouse, and Azure Cosmos DB
  • Monitor and troubleshoot data-related issues within the Azure environment to maintain high availability and performance
  • Automate data pipelines and workflows to streamline data ingestion, processing, and distribution tasks
  • Utilize Azure's analytics services, such as Azure Synapse Analytics, to provide insights and support data-driven decision-making
  • Provide guidance and support for data governance, including metadata management, data lineage, and data cataloging