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Databricks Engineer Jobs in Calhoun, GA (NOW HIRING)

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Databricks Engineer information

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$52.5K

$98.5K

$179.2K

How much do databricks engineer jobs pay per year?

As of Aug 12, 2026, the average yearly pay for databricks engineer in Calhoun, GA is $98,534.00, according to ZipRecruiter salary data. Most workers in this role earn between $71,100.00 and $117,000.00 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.
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Databricks Engineer jobs near you

Industrial Automation & Machine Learning Engineer

Shaw Industries Group, Inc.

Cartersville, GA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 28 days ago

Job description

Job Title
Industrial Automation & Machine Learning Engineer
Position Overview
Shaw Industries is seeking an Industrial Automation and Machine Learning Engineer to develop and scale software and data solutions that connect our production floor to actionable insights across our Commercial manufacturing division. This role focuses on industrial automation, manufacturing data, and OT system integration, supporting multiple plants and enabling operational excellence at scale.
The ideal candidate has a strong background in manufacturing automation and industrial systems-including PLCs, SCADA, and industrial networking-along with experience building manufacturing applications using platforms such as Ignition and Machine Learning. This is not an IT or consumer software role; it is a hands-on manufacturing systems position centered on machinery, process data, and production environments.
This role will work closely with automation engineers and plant teams to deliver standardized tools, alerts, dashboards, and integrations that improve quality, reliability, and efficiency across Shaw's manufacturing operations.
Position Responsibilities
  • Ensure seamless integration of software with existing OT/IT infrastructure.
  • Develop software that adheres to established best practices and standards, including thorough documentation and meaningful code comments.
  • Contribute to the development and refinement of best practices and standards for software and automation systems - a strong plus.
  • Collaborate with cross-functional teams to understand equipment and automation systems.
  • Train manufacturing and technical teams on the use of developed systems and tools, and support knowledge-sharing around emerging process control technologies.
  • Support hardware automation initiatives as needed.
  • Manage and budget capital projects related to automation and data systems.
  • Collaborate with plant leadership to identify opportunities.

Key Competencies
  • Influence Others
  • Innovate
  • Adapt And Change
  • Demonstrate Inclusive Leadership
  • Deliver Compelling Communication

Position Requirements
  • Bachelor's degree in software engineering or related field. Other engineering degrees may be considered with relevant experience.
  • Proficient in one or more programming languages commonly used in automation and data systems, i.e Machine Learning
  • Proficient in designing, querying, and maintaining databases.
  • Experience with enterprise-level data platforms and visualization tools.
  • Working knowledge of industrial equipment and data acquisition systems.
  • Strong problem-solving and analytical skills.
  • Excellent communication and project management abilities.
  • On-call, weekend, and holiday support as needed.
  • Some travel is required across the division.

Preferred Skills
  • 3-5 years of experience in manufacturing automation.
  • Knowledge of control systems, PLCs, and industrial networking.
  • Experience with Ignition by Inductive Automation.
  • Experience with APIs (e.g., web service calls, MQTT).
  • Experience with Rockwell Software (e.g., RSLogix 500, Studio 5000).
  • Experience with Siemens Software (e.g., TIA Portal).
  • Exposure to AI technologies in manufacturing, such as platforms like Databricks or similar, used to analyze process data, build predictive models, detect anomalies, or optimize performance.

Shaw benefits include:
  • Medical, dental, vision insurance and Pet insurance
  • Life insurance and disability coverage
  • Tuition reimbursement
  • Employee assistance program
  • Health savings account
  • Paid Time Off
  • Parental Leave
  • 401K and Retirement Plans
  • Product discounts for employees
  • Gym membership discounts
  • Adoption assistance
  • Shaw Family Health Center (Dalton, GA, and Cartersville, GA, locations)
  • And much more.

Shaw Industries Group, Inc. is a wholly owned subsidiary of Berkshire Hathaway, and is a global leader in delivering carpet, hardwood, tile & stone, laminate, synthetic turf, and other specialty products to residential and commercial markets worldwide. We are committed to creating a better future for our customers, our people, our company, and our communities.
#LI-CL1
#ShawIND
Work Shift
8 Hr non-rotating shift, Hrs fall to in punch day, Observed Calendar, shift starts AM
Shaw Industries is an equal opportunity employer as to all protected groups, including protected veterans and individuals with disabilities.

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