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Databricks Data Engineer Jobsexternal in South Carolina (NOW HIRING)

Cloud Data Engineer

Greenville, SC · On-site

$100K - $121K/yr

... Databricks, data enrichment processes, and large scale data integration initiatives • Strong ... Engineering, Mathematics, or a related field • Must be authorized to work in the United States as ...

... Architect, Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies - Developing and documenting data models and data flow diagrams ...

... Architect, Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies - Developing and documenting data models and data flow diagrams ...

Data Engineer AWS OpenSearch

Fort Mill, SC · On-site

$100K - $120K/yr

Experience with Snowflake, Redshift, or Databricks. * Experience working with large-scale distributed systems. * AWS Certification (Solutions Architect, Data Analytics, or Developer) is a plus.

Senior Data Engineer

Fort Mill, SC · On-site

$99K - $134K/yr

... Databricks for orchestration and transformation • Basic understanding of AI/ML data pipeline ... DevOps. Founded in 2009, the company is headquartered in Charlotte, USA, with a team of 501-1000 ...

DATA SCIENTIST

Moncks Corner, SC · On-site

$84K - $105K/yr

... using Databricks, Informatica, Python, SQL, and cloud services; set and enforce engineering ... Data Engineer III leads migrations to modern cloud warehouses, defines and enforces best practices ...

Databricks Developer

Columbia, SC · On-site

$41 - $56.50/hr

Collaborate with data engineers and analysts to design and implement data solutions. * Optimize and troubleshoot Databricks environments for performance and scalability. * Ensure data quality and ...

Databricks Developer

Columbia, SC · On-site

$41 - $56.50/hr

Collaborate with data engineers and analysts to design and implement data solutions. * Optimize and troubleshoot Databricks environments for performance and scalability. * Ensure data quality and ...

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Databricks Data Engineer information

See South Carolina salary details

$41.3K

$120.4K

$164.7K

How much do databricks data engineer jobs pay per year?

As of Sep 6, 2026, the average yearly pay for databricks data engineer in South Carolina is $120,371.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,200.00 and $127,600.00 per year, depending on experience, location, and employer.

What is a Databricks data engineer?

A Databricks Data Engineer is responsible for designing, building, and maintaining scalable data pipelines on the Databricks platform. They work with Apache Spark, Delta Lake, and cloud services to process large datasets efficiently. Their role involves data ingestion, transformation, optimization, and ensuring data quality for analytics and machine learning. Additionally, they collaborate with data scientists, analysts, and business teams to deliver reliable data solutions.

What does a Databricks data engineer do?

A typical day for a Databricks Data Engineer involves developing and maintaining scalable data pipelines, optimizing big data workflows using Spark, and collaborating with data scientists, analysts, and other engineers. You will regularly work within cloud environments to manage and process large datasets, conduct troubleshooting, and ensure data reliability and performance. Daily tasks may also include writing code, participating in team meetings, and implementing best practices for data security and governance. This role is highly collaborative, requiring frequent communication to align on project goals and address any technical challenges. The dynamic, project-based structure helps expand your skills and offers growth opportunities into senior engineering or data architecture roles.

What are the key skills and qualifications needed to thrive as a Databricks data engineer?

To thrive as a Databricks Data Engineer, you need strong expertise in data engineering concepts, big data processing, and programming languages such as Python, Scala, or SQL, often supported by a degree in computer science or a related field. Proficiency in Databricks, Apache Spark, cloud platforms (like AWS, Azure, or GCP), and relevant certifications such as Databricks Certified Data Engineer are highly valued. Effective problem-solving, collaboration, and clear communication skills help engineers work efficiently within cross-functional teams. These skills are essential for designing scalable data pipelines, ensuring data quality, and delivering actionable analytics in dynamic business environments.

How much does a Databricks data engineer make?

A Databricks Data Engineer typically earns between $90,000 and $150,000 annually, depending on experience, location, and certifications. Senior roles or those with advanced skills in Spark, cloud platforms, and data pipeline development can earn higher salaries.

Is a Databricks Data Engineer in demand?

Databricks Data Engineers are in high demand due to the increasing adoption of cloud-based data platforms and big data processing. Skills in Apache Spark, cloud environments, and data pipeline development are highly sought after, leading to strong job growth in this field.

What are the most commonly searched types of Databricks Data Engineer jobs in South Carolina?

The most popular types of Databricks Data Engineer jobs in South Carolina are:

What are popular job titles related to Databricks Data Engineer jobs in South Carolina?

For Databricks Data Engineer jobs in South Carolina, the most frequently searched job titles are:

What job categories do people searching Databricks Data Engineer jobs in South Carolina look for?

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

Infographic showing various Databricks Data Engineer job openings in South Carolina as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $120,371 per year, or $57.9 per hour.

Cloud Data Engineer

The Intersect Group

Greenville, SC • On-site

$100K - $121K/yr

Other

Re-posted yesterday


Job description

Data Engineer

Company Overview

The Intersect Group is partnering with a forward thinking organization that leverages data, analytics, and emerging technologies to drive strategic business decisions. This company is committed to innovation, continuous improvement, and building scalable solutions that empower teams across the enterprise. With a strong investment in cloud technologies, artificial intelligence, and data driven insights, they offer an environment where technical professionals can make a meaningful impact while continuing to grow their expertise.

Role Summary

We are seeking a Cloud Data Engineer to play a critical role in designing, building, and optimizing enterprise data solutions. This position is ideal for a highly skilled data professional who enjoys solving complex challenges, working with modern cloud technologies, and delivering scalable systems that support business intelligence, analytics, and AI initiatives.

As a key member of the Data Engineering team, you will own the full software development lifecycle, from design and development through testing, deployment, and ongoing optimization. You will collaborate with business analysts, software developers, and data scientists to create reliable data pipelines, cloud based architectures, and production ready machine learning solutions that enable data driven decision making throughout the organization.

Key Requirements

• 5+ years of hands on experience as a Data Engineer, Cloud Data Engineer, or similar data focused development role

• Strong experience with Microsoft SQL Server and C# development is required and considered non negotiable for this position

• Proven experience designing, developing, and maintaining backend data solutions, data processing frameworks, and enterprise data pipelines

• Hands on experience with Databricks, data enrichment processes, and large scale data integration initiatives

• Strong foundation in Microsoft Azure, including Azure data services, Azure security, and modern cloud architecture concepts

• Experience developing scalable data warehouse solutions and advanced SQL based data models

• Demonstrated ability to build, optimize, and support end to end ETL and ELT processes in production environments

• Solid understanding of software development lifecycle practices, source control, testing, deployment, and production support

• Experience supporting cloud based analytics, reporting, artificial intelligence, or machine learning initiatives is highly desirable

• Bachelor's degree in Computer Science, Information Systems, Engineering, Mathematics, or a related field

• Must be authorized to work in the United States as a , or validholder

• Sponsorship is not available now or in the future for this position

• Strong analytical and problem solving abilities with a demonstrated track record of delivering reliable, production ready solutions

• Genuine interest in learning emerging technologies and continuously expanding technical expertise

• Excellent communication, collaboration, and interpersonal skills with the ability to work effectively across technical and business teams

• High degree of integrity and professionalism with experience that accurately reflects hands on technical capabilities

• Ability to thrive in a collaborative, culture driven environment and contribute positively to team success

Preferred Qualifications

• Experience with Azure Foundry and modern AI enabled data platforms

• Experience working with Azure analytics, storage, database, and machine learning services

• Familiarity with distributed computing architectures and large scale cloud data platforms

• Experience with statistical programming languages such as R

• Experience mentoring team members and contributing to technical best practices

Why Join This Opportunity

• Opportunity to influence the future of a growing enterprise data platform

• Exposure to cutting edge cloud, analytics, machine learning, and AI technologies

• Highly collaborative environment with strong executive support for data initiatives

• Ability to work on high impact projects that drive strategic business outcomes

• Career growth opportunities within a modern and innovative technology organization

Apply Today

If you are passionate about building scalable cloud data solutions, optimizing data platforms, and enabling advanced analytics through innovative engineering practices, we encourage you to apply. Submit your resume and contact information to The Intersect Group today to be considered for this exciting opportunity.