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Databricks Engineer Jobs in South Carolina (NOW HIRING)

Sr. Data Engineer

Fort Mill, SC · On-site

$130K - $179K/yr

Design, build, and maintain end-to-end IoT data pipelines from edge devices into Databricks using ... Define and enforce data engineering best practices, including pipeline design patterns, data ...

Sr. Data Engineer

Fort Mill, SC · On-site

$130K - $179K/yr

Design, build, and maintain end-to-end IoT data pipelines from edge devices into Databricks using ... Define and enforce data engineering best practices, including pipeline design patterns, data ...

New

Sr. Data Engineer

Fort Mill, SC · On-site

$130K - $179K/yr

Design, build, and maintain end-to-end IoT data pipelines from edge devices into Databricks using ... Define and enforce data engineering best practices, including pipeline design patterns, data ...

Data Engineer

Fort Mill, SC · On-site

$113K - $155K/yr

Develop and maintain data ingestion and transformation pipelines on Databricks using Python and SQL ... Collaborate with senior engineers, analysts, and data scientists to understand requirements and ...

Data Engineer

Fort Mill, SC · On-site

$113K - $155K/yr

Develop and maintain data ingestion and transformation pipelines on Databricks using Python and SQL ... Collaborate with senior engineers, analysts, and data scientists to understand requirements and ...

Data Engineer

Fort Mill, SC · On-site

$113K - $155K/yr

Develop and maintain data ingestion and transformation pipelines on Databricks using Python and SQL ... Collaborate with senior engineers, analysts, and data scientists to understand requirements and ...

New

Junior Data Engineer - (Canada-based)

North, SC · Hybrid

$106K - $127K/yr

Design, build, and maintain scalable and robust data pipelines using SQL, Python, Databricks ... Oversee and manage a team of data engineers, providing guidance and mentorship to ensure high ...

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Showing results 1-20

Databricks Engineer information

See South Carolina salary details

$55.2K

$103.6K

$188.4K

How much do databricks engineer jobs pay per year?

As of Aug 23, 2026, the average yearly pay for databricks engineer in South Carolina is $103,589.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,700.00 and $123,000.00 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 job categories do people searching Databricks Engineer jobs in South Carolina look for?

The top searched job categories for Databricks Engineer jobs in South Carolina are:

What cities in South Carolina are hiring for Databricks Engineer jobs?

Cities in South Carolina with the most Databricks Engineer job openings:

Infographic showing various Databricks Engineer job openings in South Carolina as of August 2026, with employment types broken down into 90% Full Time, 6% Part Time, and 4% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $103,589 per year, or $49.8 per hour.

$100K - $137K/yr

Full-time

Posted 9 days ago


Job description

Roles & Responsibilities
  • Develop, enhance, and optimize data solutions using Azure Databricks.
  • Build and support enterprise data applications, integrations, and pipelines.
  • Design and review technical/data-flow solutions.
  • Collaborate with architects, analysts, and data scientists on data products.
  • Perform code reviews, testing, deployment, troubleshooting, and production support.
  • Optimize complex data solutions and provide technical guidance.
  • Maintain technical documentation for downstream integrations.
  • Identify opportunities to improve data platforms, processes, and technologies.
  • Participate in Agile/Scrum and Sprint activities.
Required Skills
  • 5–10 years of experience in Data Engineering, Data Integration, or Data Warehousing.
  • Strong hands-on experience with Azure Databricks.
  • Strong knowledge of the Azure ecosystem.
  • Proficiency in SQL and Python or Scala.
  • Practical experience with data modeling and data-driven KPIs.
  • Experience with ETL/ERP technologies such as Informatica, IICS, Cognos, Netezza, or similar.
  • Experience with Azure Synapse, Power BI, Azure ML, or similar analytics platforms.
  • Experience with data integration, data pipelines, testing, deployment, and production support.
Preferred Skills
  • Experience with Azure DevOps and GitHub.
  • Strong problem-solving and independent decision-making skills.
  • Bachelor's degree in Computer Science, Engineering, or related field.