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Databricks Data Engineer Jobs in South Carolina (NOW HIRING)

Incedo Inc

AWS Data Architect

Fort Mill, SC · On-site

$56 - $72/hr

CI/CD & DevOps practices Preferred Skills * AWS Solutions Architect Professional and/or AWS Data Analytics Specialty * Snowflake and/or Databricks * Delta Lake, Iceberg, Hudi, Lakehouse architectures

Pwc

AI & GenAI Data Scientist - Manager

Columbia, SC · On-site

$99K - $232K/yr

Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials ...

Pwc

AI & GenAI Data Scientist - Manager

Spartanburg, SC · On-site

$99K - $232K/yr

Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials ...

Pwc

AI Engineer

Columbia, SC · On-site

$50K - $112K/yr

Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials - Building ...

Pwc

AI Engineer

Spartanburg, SC · On-site

$50K - $112K/yr

Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials - Building ...

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All JobsDatabricks Data Engineer JobsDatabricks Data Engineer Jobs in South Carolina

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:

Databricks Data Engineer jobs near you
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.

Digital Model / BIM Automation Developer -Kiewit Nuclear Solutions

Kiewit Corporation

Aiken, SC • Remote

$136K - $142K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 8 days ago

Kiewit Corporation rating

7.9

Company rating: 7.9 out of 10

Based on 140 frontline employees who took The Breakroom Quiz

21st of 80 rated construction

Job description

Requisition ID: 180215 

Job Level: Mid Level 

Home District/Group: DHO Information Technology Group 

Department: Technology Group 

Market: Nuclear 

Employment Type: Full Time 
 

Position Overview

Kiewit is seeking a Digital Model / BIM Automation Developer to support the processing, transformation, and delivery of engineering models across enterprise-scale EPC projects. This role is responsible for managing and scaling automated pipelines that deliver critical 3D model data to thousands of users daily.

This is a highly technical, operations-focused role within the Digital Project Execution (DPE) team, requiring strong programming, data handling, and systems expertise. The position plays a key role in ensuring reliability, scalability, and performance of model delivery systems, while continuously improving automation processes to support rapid organizational growth.

District Overview

This position is within the Kiewit Technology Group, supporting Kiewit Nuclear Solutions. 

Location

This is a remote position that may require some travel. 

Responsibilities

Model Processing & Delivery

  • Process, convert, and prepare engineering models for downstream use in UniversalPlantViewer (UPV) / Universal Digital Twin Hub / UDITH
  • Manage and support the daily delivery of 100+ models to 3,000+ users across projects
  • Ensure model quality, consistency, and availability across environments
  • Troubleshoot model processing failures and implement corrective actions

Automation & Optimization

  • Develop, enhance, and maintain automation pipelines for model processing and delivery
  • Identify opportunities to reduce manual intervention and improve system reliability
  • Optimize existing workflows for performance, scalability, and maintainability
  • Implement monitoring and alerting for critical automation processes

Systems & Infrastructure Support

  • Support general systems administration tasks related to model processing environments
  • Maintain and improve infrastructure supporting automated workflows
  • Ensure systems are stable, secure, and performant under increasing scale

Data & Integration

  • Work with structured data using SQL to support model metadata and integration workflows
  • Integrate model data with downstream systems and platforms (e.g., Common Data Environments, analytics tools)
  • Support data transformation and validation processes

Continuous Improvement & Scaling

  • Contribute to scaling operations in a rapidly growing environment (~5x growth over recent years)
  • Improve reliability and maintainability of model delivery systems
  • Support onboarding of new projects and increased model volumes
Qualifications

Technology stack

Primary:

  • Universal Plant Viewer (UPV)
  • Python (preferred)
  • SQL Server / Azure SQL
  • Model processing tools and formats (e.g., SmartPlant Review, Navisworks, 3D model platforms)
  • Automation frameworks / scripting

Supporting:

  • Azure-based ecosystem (Data Factory, Databricks, Data Lake)
  • CI/CD and scripting tools

Required qualifications

  • Experience processing and converting engineering models
  • Strong proficiency in a modern programming language (Python preferred)
  • Engineering or construction industry experience (EPC environment preferred)
  • Strong SQL skills for data manipulation and integration
  • Proven ability to automate complex processes and workflows
  • Strong systems and infrastructure fundamentals (systems administration experience preferred)
  • Highly proficient in problem solving and troubleshooting complex technical issues
  • Strong foundational knowledge of computers, data structures, and coding principles
  • Ability to quickly learn new tools, systems, and workflows
  • Strong sense of ownership and accountability for delivering business-critical systems
  • Experience supporting high-availability systems used by large user bases (thousands of users)
  • Experience documenting functional requirements, technical designs, and data workflows.
  • Excellent written and verbal communication skills.

 

PREFERRED QUALIFICATIONS

  • Background in data analytics or data engineering
  • Experience training or supporting end users

BONUS EXPERIENCE

  • Knowledge of engineering design tool ecosystems (Hexagon Smart Suite).
  • Experience supporting data environments tied to project lifecycle systems.
  • Exposure to large-scale project-based data environments.

Other Requirements:
    Regular, reliable attendance
    Work productively and meet deadlines timely
    Communicate and interact effectively and professionally with supervisors, employees, and others individually or in a team environment
    Perform work safely and effectively. Understand and follow oral and written instructions, including warning signs, equipment use, and other policies.
    Work during normal operating hours to organize and complete work within given deadlines. Work overtime and weekends as required.
    FIELD ROLES ONLY May work at various different locations and conditions may vary

Base Compensation: $136,000/yr - $142,000/yr

(Actual compensation is subject to variation due to such factors as education, experience, skillset, and/or location)

We offer our fulltime staff employees a comprehensive benefits package that's among the best in our industry, including top-tier medical, dental and vision plans covering eligible employees and dependents, voluntary wellness and employee assistance programs, life insurance, disability, retirement plans with matching, and generous paid time off.

Equal Opportunity Employer, including disability and protected veteran status.

What Kiewit Corporation employees say

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Benefits

Hours and flexibility

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About Kiewit

Sourced by ZipRecruiter

Kiewit Infrastructure Engineering's Design-Build team is driving clients to turn to Kiewit during all stages of design-build projects. Through our integrated design and construction approach, our multi-disciplinary team works together to improve schedule, control costs and minimize risk. Our construction-focused engineers work collaboratively with our estimators and builders to design solutions that are innovative, constructible, and designed with a focus on safety. Clients benefit from the proven processes and tools used by Kiewit to minimize project risk. We are an in-house resource that supports projects throughout the company. Our staff shares experiences gained, innovative concepts, and best practices for all projects that we support.

Industry

Construction materials wholesalers

Company size

10,000+ Employees

Headquarters location

Omaha, NE, US

Year founded

1884

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