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Databricks Engineer Jobs in North Carolina (NOW HIRING)

Azure Databricks Engineer

Charlotte, NC ยท On-site

$53.75 - $66.75/hr

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 ...

Databricks Engineer

Raleigh, NC ยท On-site

$100K - $140K/yr

Must Have Technical/Functional Skills โ€ข Databricks and Apache Spark โ€ข SQL and data analysis โ€ข ETL/ELT development and optimization โ€ข Data modeling and performance tuning โ€ข Python or Scala ...

Azure Databricks Engineer

Charlotte, NC ยท On-site

$103.33 - $128.66/hr

We are looking for an experienced Azure Databricks Engineer with strong expertise in cloud based data engineering ETL development and distributed data processing , The ideal candidate should have ...

Required Skills * 5-10+ years of experience in Data Engineering or Big Data Analytics. * Strong hands-on experience with Databricks, Genie, Delta Lake, and MLflow. * Advanced proficiency in PySpark ...

GCP Databricks Architect

Davidson, NC ยท On-site

$59 - $76/hr

Enable selfservice analytics and governance Data Engineering * Build and maintain data workflows using Dataform and Databricks * Implement best practices for data ingestion transformation and ...

Lead Data Engineer with Databricks

Charlotte, NC ยท On-site

$100K - $131K/yr

Job Role Lead Data Engineer with Databricks Location Charlotte, NC (2 days a week on-site required from Day 1) Duration 6 Months Interview type Video Required skills * PySpark with Databricks - Azure ...

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Databricks Engineer information

See North Carolina salary details

$54.1K

$101.5K

$184.5K

How much do databricks engineer jobs pay per year?

As of Aug 11, 2026, the average yearly pay for databricks engineer in North Carolina is $101,451.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,200.00 and $120,400.00 per year, depending on experience, location, and employer.

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 architecture can earn higher compensation, often exceeding $160,000 per year.

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.

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, and their roles are often available across various industries seeking data-driven solutions.
What job categories do people searching Databricks Engineer jobs in North Carolina look for? The top searched job categories for Databricks Engineer jobs in North Carolina are:
What cities in North Carolina are hiring for Databricks Engineer jobs? Cities in North Carolina with the most Databricks Engineer job openings:
Infographic showing various Databricks Engineer job openings in North Carolina as of August 2026, with employment types broken down into 89% Full Time, 6% Part Time, and 5% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $101,451 per year, or $48.8 per hour.

Azure Databricks Engineer

Prophecy Technologies

Charlotte, NC โ€ข 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.