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Databricks Engineer Jobs in Jefferson, GA (NOW HIRING)

FocusKPI

Marketing Operations Analyst

Athens, GA · On-site

Collaborate with cross-functional teams such as IT and engineering to integrate data from various ... Experience working within data platforms like Databricks/Snowflake, and analytics modeling ...

Kforce Technology Staffing

Data & Analytics Lead

Oakwood, GA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... engineering roles * Experience with cloud data platforms (Snowflake, Databricks, Fabric, etc.) * Strong SQL and data modeling experience * Familiarity with BI tools (Tableau, Power BI, Looker)

Munich Re

Principal Data Scientist

Athens, GA · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Experience in multiple programming languages, including R and Python. * Deep understanding of GLMs ... Experience with Databricks or similar big data platforms is highly desirable. * Strong ...

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Databricks Engineer information

See Jefferson, GA salary details

$55K

$103.2K

$187.7K

How much do databricks engineer jobs pay per year?

As of Aug 17, 2026, the average yearly pay for databricks engineer in Jefferson, GA is $103,228.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,400.00 and $122,500.00 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 $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.

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 Jefferson, GA?

For Databricks Engineer jobs in Jefferson, GA, the most frequently searched job titles are:

What job categories do people searching Databricks Engineer jobs in Jefferson, GA look for?

The top searched job categories for Databricks Engineer jobs in Jefferson, GA are:

What cities near Jefferson, GA are hiring for Databricks Engineer jobs?

Cities near Jefferson, GA with the most Databricks Engineer job openings:

Databricks Engineer jobs near you

ETL Architect/Senior Developer

TRC Talent Solutions

Gainesville, GA • Remote

Full-time

Re-posted 23 days ago

Job description

Why Work With TRC Talent Solutions?
Forget the resume black hole. We are partnered directly with the Director of BI and Analytics for this search. Our process is transparent and urgent: we conduct a mandatory video pre-screen, and if you are a fit, your profile goes straight to the hiring managers. No waiting weeks for feedback.


The Client & The Impact
Our client is a highly stable, industry-leading healthcare system looking to grow their core Data & Analytics team (8 ETL Developers, 6 Analytics Developers). This is a 100% remote, full-time opportunity offering the stability of healthcare combined with cutting-edge technical challenges. You won't just be moving data; you will be building the semantic layers and data models that power the organization's new internal AI, LLMs, and chatbots.


The Roles (2 Openings)
We are hiring for two distinct profiles at the Senior or Architect level:


Profile 1 (Epic Focus): Heavy experience navigating Epic systems (not just flat files). You understand Epic data workflows, Clarity, Caboodle, and application models.


Profile 2 (AI/Data Focus): Heavy focus on Snowflake, dbt, and creating semantic layers/models for AI, agentic models, and chatbots.


First 30-60 Days:


30 Days: Grasp the high-level tech stack (Snowflake, dbt, AWS), integrate with the team, and understand your primary assigned project.


60 Days: Begin active architectural design or development on your main project, while seamlessly juggling smaller enhancements, ticketing, and team presentations.


Core Requirements:


Experience: 8-10+ years in ETL Architecture/Development (Senior-level candidates with strong trajectory will be considered).


Tech Stack: Strong preference for Snowflake and dbt. Open to SSIS, Databricks, or Fabric if you have the aptitude to learn Snowflake quickly. Environment is AWS.


Epic Profile Requirement: Must have hands-on experience navigating the Epic system itself, not just receiving third-party flat files. Certifications in Clarity or Caboodle are a massive plus.


AI/Data Profile Requirement: Proven ability to build data models and semantic layers that business stakeholders can "talk to" via dashboards or LLMs.


Education: Bachelor's Degree required.


Work Ethic & Communication: Impeccable communication skills are required to interface with business stakeholders. Must be dedicated to a single, full-time role (no side consulting or concurrent employment). We are looking for long-term retention, not job-hoppers.