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Databricks Engineer Jobs in Atlanta, GA (NOW HIRING)

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 ...

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 ...

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 ...

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 ...

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 ...

Data Architect, Databricks

Alpharetta, GA ยท On-site +1

$62.25 - $80/hr

You will partner closely with engineering, analytics, governance, and business teams to deliver ... Our team is early in its Databricks maturity journey, and this hire will establish foundational ...

Data Architect, Databricks

Alpharetta, GA ยท On-site +1

$62.25 - $80/hr

You will partner closely with engineering, analytics, governance, and business teams to deliver ... Our team is early in its Databricks maturity journey, and this hire will establish foundational ...

Showing results 41-60

Databricks Engineer information

See Atlanta, GA salary details

$57.2K

$107.4K

$195.2K

How much do databricks engineer jobs pay per year?

As of Aug 12, 2026, the average yearly pay for databricks engineer in Atlanta, GA is $107,351.00, according to ZipRecruiter salary data. Most workers in this role earn between $77,400.00 and $127,400.00 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 Atlanta, GA? For Databricks Engineer jobs in Atlanta, GA, the most frequently searched job titles are:
What job categories do people searching Databricks Engineer jobs in Atlanta, GA look for? The top searched job categories for Databricks Engineer jobs in Atlanta, GA are:
What cities near Atlanta, GA are hiring for Databricks Engineer jobs? Cities near Atlanta, GA with the most Databricks Engineer job openings:
Infographic showing various Databricks Engineer job openings in Atlanta, GA as of August 2026, with employment types broken down into 89% Full Time, 4% Part Time, and 7% Contract. Highlights an 83% Physical, 5% Hybrid, and 12% Remote job distribution, with an average salary of $107,351 per year, or $51.6 per hour.

Senior/Lead Data Engineer (Azure Databricks) - Fulltime Role

Saransh Inc

Alpharetta, GA โ€ข On-site

Full-time

Re-posted 19 days ago


Job description

Role: Senior/Lead Data Engineer (Azure Databricks)
Location: Alpharetta, GA (Onsite)
Job Type: Full Time
 
Description:
  • Looking for an experienced Senior/Lead Data Engineer with 8+ years of expertise in designing and delivering scalable, high-performing data solutions on the Azure ecosystem.
  • The ideal candidate will have deep hands-on experience with Databricks, Spark, modern data lakehouse architectures, data modelling, and both batch and real-time data processing.
  • You will be responsible for driving end-to-end data engineering initiatives, influencing architectural decisions, and ensuring robust, high-quality data pipelines.
Experience and Qualifications (Required):
  • 8+ years of hands-on data engineering experience in enterprise environments.
  • Strong expertise in Azure services, especially Azure Databricks, Functions, and Azure Data Factory (preferred).
  • Advanced proficiency in Apache Spark with Python (PySpark).
  • Strong command over SQL, query optimization, and performance tuning.
  • Deep understanding of ETL/ELT methodologies, data pipelines, and scheduling/orchestration.
  • Hands-on experience with Delta Lake (ACID transactions, optimization, schema evolution).
  • Strong experience in data modelling (normalized, dimensional, lakehouse modelling).
  • Experience in both batch processing and real-time/streaming data (Kafka, Event Hub, or similar).
  • Solid understanding of data architecture principles, distributed systems, and cloud-native design patterns.
 
Preferred:
  • Experience with CI/CD tools such as Azure DevOps and Git.
  • Familiarity with IaC tools (Terraform, ARM).
  • Exposure to data governance and cataloging tools (Azure Purview).
  • Experience supporting machine learning or BI workloads on Databricks.
 
 
 
Note: Visa Independent candidates are highly preferred