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Databricks Engineer Jobs in Georgia (NOW HIRING)

Deloitte

Databricks Manager

Atlanta, GA

Bachelor's degree 6+ years of experience delivering data engineering, analytics, or cloud data platform solutions 3+ years of experience with Databricks and Apache Spark 3+ years of experience with ...

System One

Databricks Subject Matter Expert

Atlanta, GA

$53.50 - $71.75/hr

... engineering, analytics, or platform architecture. . 5+ years of deep, hands-on experience with ... Databricks, including production deployments at enterprise scale. . Expert-level proficiency in ...

Databricks

The customers in your portfolio anchor a strategic vertical for Databricks, and your team's work ... engineering backgrounds. Hiring, coaching, and growing this team is the heart of the job. The ...

ACI Infotech

Azure Data Engineer

Atlanta, GA · On-site

$110.10K - $132.20K/yr

ADLS Gen2, Azure Data Factory, Azure Databricks, Synapse Analytics,Azure DevOps:-Boards, Repos, Pipelines, Test Plans * Databases: * Must Have: SQL servers/SQL databases, MongoDB, * BI Platforms:

TriOptus LLC

Analytics Engineer

Atlanta, GA · On-site

Analytics Engineer Start Date: 08/18/2025 End Date: 07/21/2025 Agency Interview Type: Either Web ... Integrating Databricks with other Azure services like Azure One Lake, Azure ADLS Gen2, and ...

Apex Informatics

DECAL Analytics Engineer

Atlanta, GA · On-site

Required 3 Years Azure Databricks (Spark, Delta Lake) Required 3 Years Microsoft Fabric (Dataflows ... Data Engineering & Pipeline Development • Build and maintain ETL/ELT pipelines using Azure ...

GEI Consultants

AI Engineer

Atlanta, GA

$110K - $150K/yr

Azure or Databricks certifications (e.g., Azure AI Engineer Associate, Azure Solutions Architect Expert, Databricks ML Professional, Databricks Data Engineer Professional) are a plus. We are GEI.

Lorven Technologies

Senior DevOps Engineer

Alpharetta, GA · On-site

$126.90K - $163K/yr

Senior DevOps Engineer - Azure, Terraform & Databricks Location: Alpharetta GA - Onsite Must : Onsite for F2F client interview required Full-Time Must have skills : Data Brick/Kafka Key ...

GEI Consultants

AI Engineer

Atlanta, GA · On-site

Azure or Databricks certifications (e.g., Azure AI Engineer Associate, Azure Solutions Architect Expert, Databricks ML Professional, Databricks Data Engineer Professional) are a plus. We are GEI.

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$50.2K

$94.3K

$171.4K

How much do databricks engineer jobs pay per year?

As of May 30, 2026, the average yearly pay for databricks engineer in Georgia is $94,260.00, according to ZipRecruiter salary data. Most workers in this role earn between $68,000.00 and $111,900.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Databricks Engineer, and why are they important?

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.

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.

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, and data engineering may earn higher compensation. Salaries can also vary based on industry demand and certifications.
What are popular job titles related to Databricks Engineer jobs in Georgia? For Databricks Engineer jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Databricks Engineer jobs in Georgia look for? The top searched job categories for Databricks Engineer jobs in Georgia are:
What cities in Georgia are hiring for Databricks Engineer jobs? Cities in Georgia with the most Databricks Engineer job openings:
Databricks Engineer jobs near you
Infographic showing various Databricks Engineer job openings in Georgia as of May 2026, with employment types broken down into 3% As Needed, 83% Full Time, 1% Part Time, 8% Contract, and 5% Nights. Highlights an 67% Physical, and 33% Remote job distribution, with an average salary of $94,260 per year, or $45.3 per hour.
Resident Solutions Architect - Communications, Media, Entertainment & Games

Resident Solutions Architect - Communications, Media, Entertainment & Games

Databricks

Atlanta, GA

$60.50 - $79.75/hr

Other

Posted 18 days ago

Job description

CSQ127R318

As a Big Data Solutions Architect (Resident Solutions Architect) in our Professional Services team you will work with clients on short to medium term customer engagements on their big data challenges using the Databricks platform. You will provide data engineering, data science, and cloud technology projects which require integrating with client systems, training, and other technical tasks to help customers to get most value out of their data. RSAs are billable and know how to complete projects according to specification with excellent customer service. You will report to the regional Manager/Lead.

The impact you will have:

  • You will work on a variety of impactful customer technical projects which may include designing and building reference architectures, creating how-to's and productionalizing customer use cases
  • Work with engagement managers to scope variety of  professional services work with input from the customer
  • Guide strategic customers as they implement transformational big data projects, 3rd party migrations, including end-to-end design, build and deployment of industry-leading big data and AI applications
  • Consult on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks.
  • Provide an escalated level of support for customer operational issues.
  • You will work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs.
  • Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues.

What we look for:

  • 6+ years experience in data engineering, data platforms & analytics
  • Comfortable writing code in either Python or Scala
  • Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one
  • Deep experience with distributed computing with Apache Spark and knowledge of Spark runtime internals
  • Familiarity with CI/CD for production deployments
  • Working knowledge of MLOps 
  • Design and deployment of performant end-to-end data architectures
  • Experience with technical project delivery - managing scope and timelines.
  • Documentation and white-boarding skills.
  • Experience working with clients and managing conflicts.
  • Build skills in technical areas which support the deployment and integration of Databricks-based solutions to complete customer projects.
  • Travel to customers 20% of the time
  • Databricks Certification

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