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

Senior Azure Data Engineer 3625215

Charlotte, NC · On-site

$103K - $140K/yr

Contribute to modernization efforts involving Azure Synapse, Azure Data Factory, and Databricks. Do you bring proven success in Azure data engineering and cloud data platform delivery? * 10+ years of ...

Senior DataOps Engineer

Charlotte, NC

$119K - $157K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Configure, optimize, and manage Databricks clusters for performance, scalability, reliability, and ... Collaborate with cross-functional teams, including product managers, developers, and business ...

Senior Data Engineer

Charlotte, NC · On-site

$194K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Senior Data Engineer is responsible for designing, building and maintaining modern data ... Advanced proficiency inAzure Data Factory,Azure Data Lake Storage (Gen2) andAzure Databricks;

Azure experience is important, especially if they have used Azure Machine Learning, Azure DevOps, Azure Databricks, Azure Functions, or related cloud services. Key Screening Questions Machine ...

Advanced AI Engineer

Charlotte, NC · Hybrid

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

As an Advanced AI Engineer , you will design, develop, and deploy cutting-edge AI solutions with a ... Utilize Databricks AI/ML Platform , including Unity Catalog , for governed data access, feature ...

Advanced AI Engineer

Charlotte, NC · Hybrid

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

As an Advanced AI Engineer , you will design, develop, and deploy cutting-edge AI solutions with a ... Utilize Databricks AI/ML Platform , including Unity Catalog , for governed data access, feature ...

Developer

Charlotte, NC · On-site

$120K - $135K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

PySpark, Apache Kafka, Hadoop Ecosystem, Hive, Databricks Lakehouse Architecture, Delta Lake ... Minimum 10+ years Roles & Responsibilities Seeking a Senior Big Data Engineer with 1013 years of ...

Senior DataOps Engineer

Charlotte, NC · On-site

$102K - $140K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Configure, optimize, and manage Databricks clusters for performance, scalability, reliability, and ... Collaborate with cross-functional teams, including product managers, developers, and business ...

Engineer

Charlotte, NC · On-site

$90K - $100K/yr

Must Have Technical/Functional Skills • 5+ years of hands-on experience with Databricks, Python, and PySpark. • Strong hands-on experience in Databricks, Python, and PySpark development. • ...

Data Engineer

Charlotte, NC · On-site

$50 - $70/hr

Well-versed with Azure Databricks * Strong SQL skills with RDMS or NoSQL databases * Experience with developing API's using FastAPI or similar frameworks in Python * Familiarity with the DevOps ...

Data Engineer

Charlotte, NC · On-site

$53K - $88K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Guidehouse seeks a Data Engineer I to support the development, maintenance, and enhancement of data ... Exposure to Databricks, Spark, or large-scale data processing technologies. * Familiarity with ...

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Showing results 41-60

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:
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.

Senior Azure Data Engineer 3625215

Axiom Path

Charlotte, NC • On-site

$103K - $140K/yr

Other

Re-posted 17 days ago


Job description

Be Part Of A High-Performing Team:
Join a technology organization supporting enterprise-scale financial services operations, where secure, reliable, and compliant data solutions are essential to business performance. This team operates in a structured, fast-paced environment focused on modernizing data platforms, strengthening cloud capabilities, and enabling better access to trusted data across the organization.
What's In Store For You:
Engagement: W2 only (no C2C/1099)
This is a hybrid opportunity based in Charlotte, NC, supporting cloud-based data engineering initiatives using Microsoft Azure technologies. The role offers the chance to work on enterprise data platforms, modern data pipelines, and cloud-native analytics solutions in a senior-level capacity.
How You Will Make An Impact:
  • Design, build, and maintain scalable data engineering solutions using Microsoft Azure technologies.
  • Develop and optimize data pipelines that support enterprise reporting, analytics, and downstream business use cases.
  • Implement and support cloud-based data lake solutions with a focus on performance, reliability, and maintainability.
  • Partner with technology, data, and business stakeholders to translate data needs into secure and efficient solutions.
  • Support data security, governance, and compliance standards across cloud-based data environments.
  • Contribute to modernization efforts involving Azure Synapse, Azure Data Factory, and Databricks.

Do you bring proven success in Azure data engineering and cloud data platform delivery?
  • 10+ years of overall technology/data engineering experience preferred.
  • Strong hands-on experience designing and developing data solutions in Microsoft Azure.
  • Proven experience with Azure Synapse, Azure Data Factory, and Databricks.
  • Experience building data pipelines, data lakes, and cloud-based data integration workflows.
  • Strong understanding of data security, compliance, governance, and enterprise data standards.
  • Azure certifications are strongly preferred.
  • Ability to work effectively in a hybrid, enterprise environment with strong communication and problem-solving skills.

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