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Databricks Engineer Jobs in Alpharetta, GA (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 · On-site

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 ...

United Airlines

Azure Databricks Lead

Atlanta, GA

$53 - $65.75/hr

Data engineers are responsible for building reliable and scalable data infrastructure that enables ... Databricks Engineer with strong expertise in cloudbased data engineering ETL development and ...

Deloitte

Azure/Databricks Infrastructure Engineer

Atlanta, GA · On-site

$103K - $135K/yr

Share this job: Share: Share Azure/Databricks Infrastructure Engineer with Facebook Share Azure/Databricks Infrastructure Engineer with LinkedIn Share Azure/Databricks Infrastructure Engineer with ...

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Databricks Engineer information

See Alpharetta, GA salary details

$58.1K

$109K

$198.2K

How much do databricks engineer jobs pay per year?

As of Aug 8, 2026, the average yearly pay for databricks engineer in Alpharetta, GA is $108,986.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,600.00 and $129,400.00 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.
What are popular job titles related to Databricks Engineer jobs in Alpharetta, GA? For Databricks Engineer jobs in Alpharetta, GA, the most frequently searched job titles are:
What job categories do people searching Databricks Engineer jobs in Alpharetta, GA look for? The top searched job categories for Databricks Engineer jobs in Alpharetta, GA are:
What cities near Alpharetta, GA are hiring for Databricks Engineer jobs? Cities near Alpharetta, GA with the most Databricks Engineer job openings:
Databricks Engineer jobs near you
Infographic showing various Databricks Engineer job openings in Alpharetta, GA as of August 2026, with employment types broken down into 92% Full Time, 2% Part Time, and 6% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $108,986 per year, or $52.4 per hour.

Databricks Developer

IT America Inc

Atlanta, GA • On-site

Contractor

Re-posted 3 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