ZipRecruiter

Log In

1

Databricks Engineer Jobs in Fort Mill, SC (NOW HIRING)

Capgemini

Azure Databricks Engineer

Charlotte, NC · 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 ...

1 point system

Databricks Architect (Remote)

Rock Hill, SC · Remote

$66.25 - $87/hr

Ability to design and optimize scalable data engineering solutions * Excellent troubleshooting and performance tuning skills Key Responsibilities: * Lead Databricks migration initiatives from AWS to ...

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 ...

CogniSoft Technologies

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 ...

Staffingine LLC

MLOps Engineer

Charlotte, NC · On-site

MLOps Engineer Job Location: Charlotte - North Carolina - USA Job Type: Contract * 4 to 6 years of ... Azure Databricks AWS Databricks specializing in End to End MLOps architecture with practical ...

next page

Showing results 1-20

All JobsDatabricks Engineer JobsDatabricks Engineer Jobs in Fort Mill, SC

Databricks Engineer information

See Fort Mill, SC salary details

$52.3K

$98.1K

$178.4K

How much do databricks engineer jobs pay per year?

As of Aug 12, 2026, the average yearly pay for databricks engineer in Fort Mill, SC is $98,097.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,700.00 and $116,400.00 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 are popular job titles related to Databricks Engineer jobs in Fort Mill, SC? For Databricks Engineer jobs in Fort Mill, SC, the most frequently searched job titles are:
What job categories do people searching Databricks Engineer jobs in Fort Mill, SC look for? The top searched job categories for Databricks Engineer jobs in Fort Mill, SC are:
Databricks Engineer jobs near you
Infographic showing various Databricks Engineer job openings in Fort Mill, SC as of August 2026, with employment types broken down into 93% Full Time, 2% Part Time, and 5% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $98,097 per year, or $47.2 per hour.

Azure Databricks Engineer

Prophecy Technologies

Charlotte, NC • On-site

$53.75 - $66.75/hr

Contractor

Posted 21 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.

Apply