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Databricks Engineer Jobs in Kentucky (NOW HIRING)

... programming development * At least 2 years' experience with Databricks, Kafka and API * Familiarity with software development methodologies (Agile, Scrum, etc.) * Applied AI techniques to improve ...

... programming development * At least 2 years' experience with Databricks, Kafka and API * Familiarity with software development methodologies (Agile, Scrum, etc.) * Applied AI techniques to improve ...

... programming development * At least 2 years' experience with Databricks, Kafka and API * Familiarity with software development methodologies (Agile, Scrum, etc.) * Applied AI techniques to improve ...

... programming development * At least 2 years' experience with Databricks, Kafka and API * Familiarity with software development methodologies (Agile, Scrum, etc.) * Applied AI techniques to improve ...

Azure Databricks Developer

Louisville, KY · Hybrid

$52.75 - $65.50/hr

As an experienced Azure Databricks Developer you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. If so, consider an ...

Azure Databricks Developer

Louisville, KY · On-site

$52.75 - $65.50/hr

As an experienced Azure Databricks Developer you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. If so, consider an ...

These solutions are powered by engineering for business advantage, transforming mission-critical ... Experience with Databricks MLOps or infrastructure setup * Experience coordinating delivery teams ...

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Showing results 1-20

Databricks Engineer information

See Kentucky salary details

$51.7K

$97K

$176.3K

How much do databricks engineer jobs pay per year?

As of Jun 19, 2026, the average yearly pay for databricks engineer in Kentucky is $96,955.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,900.00 and $115,100.00 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 Kentucky? For Databricks Engineer jobs in Kentucky, the most frequently searched job titles are:
What cities in Kentucky are hiring for Databricks Engineer jobs? Cities in Kentucky with the most Databricks Engineer job openings:
Infographic showing various Databricks Engineer job openings in Kentucky as of June 2026, with employment types broken down into 98% Full Time, and 2% Part Time. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $96,955 per year, or $46.6 per hour.

Azure Databricks Engineer

Futran Tech Solutions Pvt. Ltd.

Louisville, KY • On-site

Full-time

Posted 3 days ago


Job description

Role: Azure Databricks Engineer
Location - Louisville Kentucky ( 5 Days Work from Office ) DAY 1 onsite
Key Responsibilities •
  • Design, develop, and optimize robust ETL/ELT pipelines using Databricks, Python and SQL.
  • Write clean, efficient, and reusable code in SQL & Python for data transformation and automation. •
  • Collaborate with business stakeholders to understand data needs and deliver high-quality solutions. •
  • Ensure data quality, integrity, and governance across all data platforms. •
  • Monitor and troubleshoot data workflows and performance issues. Required Qualifications •
  • 5+ years of experience in data engineering or a similar role. • Proficiency in SQL, Python, and Automation. •
  • Hands-on experience with Databricks, Snowflake, and Azure cloud services (e.g., Azure Data Lake, Azure Data Factory, Azure Functions). •
  • Strong understanding of data modeling, data warehousing, and ETL/ELT best practices. •
  • Experience with version control and CI/CD practices. •
  • Strong problem-solving skills and ability to work independently in a fast-paced environment.