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Databricks Engineer Jobs in South Carolina (NOW HIRING)

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 ...

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 ...

Azure Solutions Architect Expert, Azure Data Engineer Associate, Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus - Proficient in Python and SQL - Experience with Docker and ...

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

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

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

Databricks Data Engineer Certification (desired) * ITIL Foundation Certification Key Attributes * Strong problem-solving mindset in bridging legacy and modern systems. * Practical, detail-oriented ...

Showing results 41-60

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.

Manufacturing Engineer - Automated Assembly

Bosch Group

Charleston, SC • On-site

$69K - $89K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 19 days ago


Job description

Company Description
Do you want beneficial technologies being shaped by your ideas? Whether in the areas of mobility solutions, consumer goods, industrial technology or energy and building technology - with us, you will have the change to improve quality of life all across the globe. Welcome to Bosch!
Job Description
The Line Planner is responsible for the daily technical performance of the assigned production line. This role serves as the primary engineering partner to Operations, ensuring equipment, processes, and cross-functional resources work together to maintain safe, stable, and efficient production.
The Line Planner provides real-time visibility into line performance, coordinates issue resolution, leads structured escalation of production risks, and drives rapid recovery to standard operating conditions. While focused on daily execution, the Line Planner also identifies recurring issues and partners with the Process Group to implement long-term improvements.
Key Responsibilities
Daily Production Performance
  • Own the daily technical performance of assigned production lines.
  • Monitor machine status, production flow, and key performance metrics.
  • Identify production risks and proactively communicate impacts to Operations.

Issue Management & Escalation
  • Lead structured escalation of safety, quality, delivery, and equipment issues.
  • Coordinate cross-functional resources including Operations, Maintenance, Quality, and the Process Group.
  • Ensure production issues are documented and communicated effectively.

Production Recovery
  • Drive rapid problem solving to restore production to standard conditions.
  • Verify that corrective actions achieve expected performance.
  • Escalate recurring or systemic issues for long-term investigation.

Standardization
  • Maintain manufacturing documentation including work instructions and engineering standards.
  • Support adherence to standardized work across the production line.
  • Identify opportunities to improve standard work based on daily observations.

Performance & Capacity Support
  • Monitor production performance trends and identify emerging risks.
  • Support production planning through cycle time, capacity, and equipment performance analysis.
  • Assist with launch activities and production readiness.

Key Performance Indicators (KPIs)
  • Line OEE
  • Downtime reduction
  • Mean Time to Recovery (MTTR)
  • Schedule attainment
  • First Pass Yield / Scrap performance
  • On-time issue escalation
  • Completion of corrective actions
  • Accuracy of production reporting

The Line Planner is the engineering owner of daily production performance, ensuring manufacturing operates safely, efficiently, and consistently by coordinating rapid problem resolution, maintaining production standards, and enabling Operations to achieve stable performance every day.
Qualifications
Education
  • Bachelor's degree in Mechanical Engineering, Manufacturing Engineering, Industrial Engineering, or related technical discipline.

Experience
  • 3-7 years of manufacturing engineering or production engineering experience.
  • Experience supporting automated high-volume manufacturing operations.
  • Strong analytical and problem-solving skills with the ability to interpret complex production data
  • Excellent organizational and project management skills with the ability to manage multiple priorities
  • Strong written and verbal communication skills with the ability to collaborate effectively across departments, extreme willingness to share know-how.
  • Detail-oriented mindset with a commitment to quality and operational excellence

Technical Skills
  • Root cause analysis (8D, A3, 5 Why, Fishbone)
  • Lean Manufacturing principles
  • Statistical process understanding
  • TRC & MRC
  • Manufacturing KPIs (OEE, FPY, Scrap, Tech/Org Downtime, Cycle Time)
  • Microsoft Excel and data analysis
  • MES, ERP, or production monitoring systems preferred
  • Databricks & Query language experience preferred

Success Profile
A successful Line Planner is someone who:
  • Thinks with urgency while remaining organized.
  • Can quickly prioritize competing production issues.
  • Communicates effectively across Operations, Maintenance, and Quality.
  • Uses data to drive decisions rather than assumptions.
  • Builds strong relationships across functions.
  • Escalates issues early and follows through until resolution.
  • Balances immediate production needs with continuous improvement opportunities.

Additional Information
INTERACTION
This position interacts with Operators, Operational Technicians, Special Technicians, Manufacturing Engineers and Leadership
Benefits Include
  • Competitive Salary
  • Competitive Time Away from Work Policy
  • Paid Time Off (PTO): 16 days (Up to 30 days based on seniority)
  • Personal Days (PAA): 5 days
  • Company Paid Holidays: 9 days
  • Paid Parental Leave: 6 Weeks
  • Industry Best Retirement Benefit
    • 401k - 75% match up to the first 9% contribution
    • Unique Bosch Defined Contribution (BDC) plan provides 100% company-funded 401(k) contributions, ranging from 2.5% to 6.5% of your pay, helping you secure your financial future
    • Student Debt Retirement Savings Match
  • Profit Sharing Bonus (CPrP) up to 10%
  • Medical, dental, and vision coverage
  • Onsite Cafeteria with multiple menu options
  • Onsite Starbucks Cafe
  • Onsite Bosch Store (Employee Discount)

Your well-being matters at Bosch! We offer a competitive compensation and a benefits package designed to empower you in every area of your life. This includes premium health coverage, a 401(k) with generous matching, resources for financial planning and goal setting, ample paid time off, parental leave, and comprehensive life and disability protection. We're investing in your success! Bosch Benefits / Bosch in the USA
Want a closer look at life at Bosch? Follow our social channels and see what it's like to work here:
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Please review the videos below for information on ChP campus.
Indefinite U.S. work authorized individuals only. Future sponsorship for work authorization is not available.
By choice, we are committed to a diverse workforce - EOE/Protected Veteran/Disabled.