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Databricks Developer Jobs in Georgia (NOW HIRING)

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

Sr Databricks Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Oversee the implementation of CI/CD practices with tools such as Azure DevOps, AWS Code Pipeline ... As a Databricks Engineer in our AI & Data practice, you will design, build, and optimize cloud ...

Deloitte

Databricks Data Engineer II

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 ...

System One

Databricks Subject Matter Expert

Atlanta, GA · On-site

You will partner directly with client stakeholders (CTOs, VPs of Data, and Engineering Leads) to define data strategies, architect scalable solutions on Databricks, and mentor delivery teams. This is ...

System One

Databricks Subject Matter Expert

Atlanta, GA · On-site

You will partner directly with client stakeholders (CTOs, VPs of Data, and Engineering Leads) to define data strategies, architect scalable solutions on Databricks, and mentor delivery teams. This is ...

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Databricks Developer information

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$17

$51

$67

How much do databricks developer jobs pay per hour?

As of Jul 19, 2026, the average hourly pay for databricks developer in Georgia is $51.92, according to ZipRecruiter salary data. Most workers in this role earn between $46.68 and $57.45 per hour, depending on experience, location, and employer.

What are the typical daily responsibilities of a Databricks Developer?

As a Databricks Developer, your typical day involves designing, developing, and maintaining scalable data pipelines using Databricks and Apache Spark. You’ll collaborate with data engineers, data scientists, and business analysts to ensure data is clean, accessible, and reliable for analytics and reporting. Tasks often include code reviews, optimizing data workflows, troubleshooting performance issues, and implementing best practices for data security and governance. This role offers a dynamic work environment that blends technical challenge with teamwork across multiple departments.

Is Databricks a high paying job?

A Databricks Developer typically earns a competitive salary due to the specialized skills required in big data processing, cloud computing, and Spark platform expertise. Salaries vary based on experience, location, and certifications, but generally align with other data engineering and cloud development roles in the industry.

What are the key skills and qualifications needed to thrive in the Databricks Developer position, and why are they important?

To thrive as a Databricks Developer, you need strong skills in data engineering, Spark programming, SQL, and cloud platforms, typically with a background in computer science or a related field. Hands-on experience with Databricks, Apache Spark, Python/Scala, and knowledge of cloud services like AWS or Azure, as well as relevant certifications, are highly valued. Analytical thinking, problem-solving, effective communication, and the ability to collaborate across teams are essential soft skills for this role. These abilities are crucial to designing scalable data solutions, streamlining data pipelines, and supporting business analytics in modern data-driven organizations.

Is Databricks an in demand skill?

Databricks skills are highly in demand for data engineering and data science roles, as many organizations adopt the platform for big data analytics and machine learning. Proficiency in Spark, SQL, and cloud environments enhances job prospects for Databricks developers.

What is a Databricks Developer job?

A Databricks Developer is responsible for designing, developing, and optimizing data pipelines and workflows using Databricks, a cloud-based data analytics platform. They work with big data technologies, such as Apache Spark, to process, transform, and analyze large datasets efficiently. Their role includes writing scalable code, creating data models, and collaborating with data engineers and analysts to support business intelligence and machine learning initiatives.

What jobs in the US pay 300,000 a year?

For a Databricks Developer, earning $300,000 annually typically requires extensive experience, advanced skills in big data processing, and often senior or lead roles in data engineering or analytics. High-paying positions may also involve leadership responsibilities, specialized certifications, or working in industries like finance or technology with complex data environments.

Is Databricks need coding?

Databricks developers typically need coding skills in languages such as Python, Scala, or SQL to build and optimize data pipelines, perform data analysis, and develop machine learning models within the platform. Proficiency in these programming languages is essential for most roles involving Databricks. Familiarity with Spark and cloud environments is also beneficial.
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Databricks Developer jobs near you
Databricks Developer

Databricks Developer

IT America Inc

Atlanta, GA • On-site

Contractor

Posted 13 days ago

Job description

Position: 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 build and optimize data solutions on the Databricks platform, leveraging Azure cloud services to deliver scalable and high-performance data pipelines.

Key Responsibilities:

  • Develop and optimize data pipelines and workflows using Databricks and PySpark
  • Work with Delta Lake for reliable and performant data storage and processing
  • Manage and govern data assets using Unity Catalog
  • Write and optimize complex SQL queries for data transformation and analytics
  • Collaborate with stakeholders to design and implement scalable data solutions
  • Monitor and tune Databricks workloads for performance and cost efficiency
  • Document solutions and contribute to engineering best practices

Required Skills & Qualifications:

  • 4+ years of experience in data engineering or a similar role
  • Strong hands-on expertise with Databricks, including Delta Lake, Unity Catalog, and PySpark
  • Advanced SQL skills, including query optimization and performance tuning
  • Experience with Azure cloud services (e.g., Azure Data Factory, Azure Data Lake Storage, Azure Synapse)
  • Strong understanding of performance optimization techniques within Databricks
  • Knowledge of Medallion architecture
  • Ability to work independently and collaborate effectively with cross-functional teams

Nice to Have:

  • Experience with data migration projects
  • Familiarity with CI/CD pipelines and DevOps practices
  • Knowledge of other orchestration tools like Apache Airflow