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Azure Databricks Jobs in North Carolina (NOW HIRING)

Damco Solutions

Databricks Data Specialist

Raleigh, NC · On-site

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 ...

Snowrelic Inc

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 ...

The AES Group

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 ...

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How much do azure databricks jobs pay per hour?

As of Sep 1, 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.

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.

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 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.

Are Azure Databricks in high demand?

Azure Databricks professionals are in high demand due to the increasing adoption of cloud-based data analytics and machine learning solutions. Skills in Spark, Python, and cloud environments enhance job prospects, with many organizations seeking expertise in managing large-scale data workflows on Azure. The role often requires familiarity with data engineering, data science, and cloud certifications.

Is Azure Databricks difficult to learn?

Azure Databricks is a cloud-based data analytics platform that combines Apache Spark with Azure services, and learning it involves understanding Spark concepts, data engineering, and cloud environment management. While it has a learning curve for beginners, familiarity with programming languages like Python or Scala and basic data processing skills can facilitate the learning process.

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 the salary of an Azure Databricks engineer?

The salary of an Azure Databricks engineer typically ranges from $90,000 to $150,000 annually, depending on experience, location, and certifications. Professionals with strong skills in Spark, cloud computing, and data engineering can expect higher compensation. Salaries may also vary based on company size and industry demand.

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:

Azure Databricks jobs near you
Infographic showing various Azure Databricks job openings in North Carolina as of August 2026, with employment types broken down into 90% Full Time, 4% Part Time, and 6% Contract. Highlights an 77% Physical, 8% Hybrid, and 15% Remote 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

Re-posted 11 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.

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