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Databricks Engineer Jobs in Georgia (NOW HIRING)

Damco

Azure Databricks Engineer

Atlanta, GA · On-site

Azure Databricks Engineer Position: Azure Databricks Engineer Client: Client/Telecommunication Location: Atlanta / Alpharetta - Onsite Duration: 6 Month Responsibilities: * Design, build, and ...

Damco Solutions

Azure Databricks Engineer

Atlanta, GA · On-site

Azure Databricks Engineer Client: Client/Telecommunication Location: tlanta / Alpharetta - Onsite Duration- 6 Month Responsibilities: * Design, build, and maintain scalable and robust ETL or ELT ...

United Airlines

Azure Databricks Lead

Atlanta, GA

Data engineers are responsible for building reliable and scalable data infrastructure that enables organizations to derive meaningful insights, make data-driven decisions, and unlock the value of ...

Deloitte

Sr Databricks Data Engineer

Atlanta, GA

$110K - $132K/yr

As a Senior Consultant - Databricks Engineer in our AI & Data practice, you will design, build, and optimize cloud-based data engineering solutions that support large-scale transformation. You will ...

IT America Inc

Databricks Developer

Atlanta, GA · On-site

Databricks Developer Location: Atlanta, GA / Nashville, TN Duration: Long term contract Note: Looking for Permanent / Visa independent consultants We are looking for a skilled Databricks Developer to ...

DS Technologies INC

Databricks developer

Atlanta, GA

Databricks Developer - Georgia We are seeking a highly skilled Databricks Developer to join our innovative team in Georgia. In this pivotal role, you will utilize your expertise in data engineering ...

Deloitte

Databricks Data Engineer

Atlanta, GA

$110K - $132K/yr

As a Databricks Data Engineer, you will support the design, build, and optimization of cloud-based data engineering solutions that enable large-scale transformation. You will work with business and ...

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All JobsDatabricks Engineer JobsDatabricks Engineer Jobs in Georgia

Databricks Engineer information

See Georgia salary details

$50.2K

$94.3K

$171.4K

How much do databricks engineer jobs pay per year?

As of Jun 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 engineers make $500,000?

Senior engineers in high-demand fields such as software engineering, data engineering, and specialized roles like Databricks Engineers can earn $500,000 or more annually, especially with extensive experience, advanced skills in cloud platforms, and leadership responsibilities. Compensation often includes base salary, bonuses, and stock options, particularly in large tech companies or startups with significant funding.

Is it hard to get hired at Databricks?

Getting hired as a Databricks Engineer can be competitive, as the role requires strong skills in big data technologies, cloud platforms, and programming languages like Python or Scala. Candidates often need relevant experience, certifications, and a solid understanding of data engineering concepts to succeed in the hiring process.

What is the salary of engineer in Databricks?

The salary of a Databricks Engineer 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 engineering may earn higher compensation. Salaries can also vary based on company size and industry demand.

Is Databricks Data Engineer in demand?

Databricks Data Engineers are in high demand due to the increasing adoption of cloud-based data platforms and the need for expertise in big data processing, Spark, and cloud environments. Companies seek professionals skilled in data pipeline development, ETL processes, and cloud tools like AWS or Azure, making this a strong career choice with good job prospects.

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.

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 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 June 2026, with employment types broken down into 84% Full Time, 8% Part Time, and 8% Contract. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution, with an average salary of $94,260 per year, or $45.3 per hour.

Azure Databricks Engineer

Damco

Atlanta, GA • On-site

Other

Posted 7 days ago

Key responsibilities

  • Design, build, and maintain scalable and robust ETL or ELT pipelines using Databricks.

  • Ingest data from various sources into the Databricks environment.

  • Implement data transformations and cleansing processes to ensure data quality and consistency.

Job description

Azure Databricks Engineer

Position: Azure Databricks Engineer

Client: Client/Telecommunication

Location: Atlanta / Alpharetta – Onsite

Duration: 6 Month

Responsibilities:
  • Design, build, and maintain scalable and robust ETL or ELT pipelines using Databricks.
  • Ingest data from various sources (databases, APIs, streaming services, cloud storage) into the Databricks environment.
  • Implement data transformations and cleansing processes to ensure data quality and consistency.
  • Utilize Databricks features like Delta Live Tables (DLT) for declarative pipeline development and efficient data processing.
  • Manage and optimize data storage within Databricks
  • Translate business needs into technical specifications for data solutions.
Skills:
  • Deep understanding and hands-on experience with the Databricks platform, including Databricks notebooks, clusters, jobs, Delta Lake, Unity Catalog, and Databricks Programming languages.
  • Experience with major cloud provider such as Azure, as Databricks runs on these infrastructures
  • Working Experience with streaming data technologies
  • Solid understanding of data warehousing principles, dimensional modeling, and various ETL/ELT methodologies.
  • Familiarity with Git or other version control systems for collaborative code development.

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