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Azure Databricks Jobs in North Carolina (NOW HIRING)

Azure Databricks Engineer

Charlotte, NC · On-site

$103.33 - $128.66/hr

Your locationYour locationIndustriesChoose a partner with intimate knowledge of your industry and first-hand experience of defining its future.# Azure Databricks EngineerAtlantaChoosing Capgemini ...

Azure Data Engineer

Charlotte, NC · On-site

$53.75 - $66.75/hr

Work with Azure Databricks, Azure Functions, and Azure databases to support data engineering initiatives. * Integrate APIs and manage API Gateway solutions. * Develop data services using Python ...

Lead Data Engineer

Charlotte, NC · On-site

$100K - $131K/yr

Design and implement scalable data pipelines and architectures on Azure Databricks.  * Optimize ETL/ELT workflows, ensuring efficiency in data processing, storage, and retrieval.  * Leverage ...

Lead Data Engineer

Charlotte, NC · On-site

$100K - $131K/yr

Lead Data Engineer - Azure Databricks Location: Charlotte, North Carolina 28273 Work Arrangement: 5 days onsite Employment Consideration: Contract to Hire Let's create our future together at The AES ...

Lead Data Engineer

Charlotte, NC · On-site

$111K - $134K/yr

Lead design, development, and optimization of scalable data pipelines and ETL/ELT workflows using Azure Databricks, PySpark, SQL, and Delta Lake * Enhancement of CI/CD pipelines and Azure DevOps, Git ...

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Azure Databricks information

See North Carolina salary details

$10

$53

$72

How much do azure databricks jobs pay per hour?

As of Aug 11, 2026, the average hourly pay for azure databricks in North Carolina is $53.08, according to ZipRecruiter salary data. Most workers in this role earn between $48.08 and $59.66 per hour, depending on experience, location, and employer.

Is Azure Databricks in demand?

Azure Databricks is a popular platform for data engineering, analytics, and machine learning, leading to strong demand for professionals skilled in its use. Roles often require knowledge of Spark, cloud computing, and data pipeline development, making Azure Databricks expertise valuable in the data industry.

What does an Azure Databricks do?

A typical day for an Azure Databricks professional involves designing, developing, and maintaining data pipelines, collaborating with data scientists and business analysts to transform raw data into actionable insights. You may spend time configuring Spark clusters, optimizing query performance, ensuring data security, and troubleshooting data workflow issues. Regular meetings with stakeholders and team members are common to align on project requirements and report progress. This role often offers a mix of independent technical work and team collaboration, making it both dynamic and engaging.

What is a job in Azure Databricks?

A job in Azure Databricks refers to an automated task or set of tasks that run on the platform, such as data processing, machine learning model training, or data pipeline execution. These jobs are scheduled and managed through the Azure Databricks workspace, often requiring knowledge of Spark, Python, Scala, or SQL. They enable users to automate workflows and handle large-scale data analytics efficiently.

What is an Azure Databricks?

An Azure Databricks job is a way to run a notebook, JAR, Python script, or other workload in an automated or scheduled manner on an Azure Databricks cluster. Jobs allow users to orchestrate data processing, machine learning tasks, or ETL workflows efficiently. They can be triggered manually, on a schedule, or in response to events, enabling streamlined data pipeline management. Jobs also support multi-task workflows, allowing dependencies between different tasks.

Does Azure Databricks allow remote work?

Azure Databricks is a cloud-based data analytics platform used by data engineers and data scientists, and remote work is common for roles involving this technology. Many organizations enable remote work for Azure Databricks professionals, especially those with skills in cloud computing, data engineering, and collaboration tools. However, specific remote work policies depend on the employer and job role.

What are the key skills and qualifications needed for an Azure Databricks?

To thrive as an Azure Databricks professional, you need expertise in big data analytics, data engineering, and proficiency with SQL, Python, and Apache Spark, typically supported by a degree in computer science or a related field. Familiarity with the Azure cloud ecosystem, Databricks platform tools, and advantageous certifications like Azure Data Engineer Associate are highly valuable. Strong problem-solving skills, collaboration, and the ability to communicate technical concepts clearly help set you apart in this role. These abilities are crucial for designing and optimizing scalable data solutions and effectively working within cross-functional data teams.

What are the most commonly searched types of Azure Databricks jobs in North Carolina? The most popular types of Azure Databricks jobs in North Carolina are:
What are popular job titles related to Azure Databricks jobs in North Carolina? For Azure Databricks jobs in North Carolina, the most frequently searched job titles are:
What job categories do people searching Azure Databricks jobs in North Carolina look for? The top searched job categories for Azure Databricks jobs in North Carolina are:
What cities in North Carolina are hiring for Azure Databricks jobs? Cities in North Carolina with the most Azure Databricks job openings:
Infographic showing various Azure Databricks job openings in North Carolina as of August 2026, with employment types broken down into 20% Full Time, and 80% Contract. Highlights an 100% In-person job distribution, with an average salary of $110,398 per year, or $53.1 per hour.

Azure Databricks Engineer

Prophecy Technologies

Charlotte, NC • On-site

$53.75 - $66.75/hr

Contractor

Posted 19 days ago


Job description

Role : Azure Databricks Engineer
Location: Day1 Onsite (Charlotte, NC)
Duration: 12+ Months Contract
Years of Experience: 12+ years
Must Have Skills
Proven expertise in Azure Databricks, including experience with Spark, data pipelines, and data lakes.
Strong programming skills in languages such as Python, Scala, or SQL.
Experience with cloud based data storage solutions, particularly Azure Data Lake Storage and Azure SQL Database.
Solid understanding of data modeling, ETL processes, and data warehousing concepts.
Demonstrated ability to lead technical teams and manage multiple projects simultaneously.