1

Databricks Engineer Jobs in Louisville, KY (NOW HIRING)

Azure Databricks Developer

Louisville, KY · On-site

$52.75 - $65.50/hr

C. is seeking a skilled developer specializing in Azure Databricks to join their dynamic team. The role involves developing and optimizing data pipelines, collaborating with cross-functional teams ...

Azure Databricks Developer

Louisville, KY · Remote

$56.25 - $69.75/hr

... programming development Proficiency in Databricks, Kafka, C# and API Familiarity with software development methodologies (Agile, Scrum, etc.) Applied AI techniques to improve processes and enhance ...

ClifyX is seeking a Decision Intelligence Engineer to build and deploy enterprise-scale decision ... databricks, Ray RLLib, Gymnasium, PettingZoo (MARL). Company : ClifyX provides innovative business ...

Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials - Building ...

Azure Solutions Architect Expert, Azure Data Engineer Associate, Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus - Proficient in Python and SQL - Experience with Docker and ...

... Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies - Developing and documenting data models, data flow diagrams, and data architecture ...

... Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies that meet the current and future business needs - Developing and documenting data ...

next page

Showing results 1-20

Databricks Engineer information

See Louisville, KY salary details

$57.1K

$107.1K

$194.8K

How much do databricks engineer jobs pay per year?

As of Aug 22, 2026, the average yearly pay for databricks engineer in Louisville, KY is $107,119.00, according to ZipRecruiter salary data. Most workers in this role earn between $77,200.00 and $127,100.00 per year, depending on experience, location, and employer.

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.

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 $90,000 to $150,000 annually, depending on experience, location, and skill level. Senior roles or those with specialized skills in Spark, cloud platforms, and data engineering can earn higher compensation, often including bonuses and benefits.

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 like AWS or Azure, making them valuable in data-driven organizations across various industries.

What are popular job titles related to Databricks Engineer jobs in Louisville, KY?

For Databricks Engineer jobs in Louisville, KY, the most frequently searched job titles are:

What job categories do people searching Databricks Engineer jobs in Louisville, KY look for?

The top searched job categories for Databricks Engineer jobs in Louisville, KY are:

Infographic showing various Databricks Engineer job openings in Louisville, KY as of August 2026, with employment types broken down into 91% Full Time, 5% Part Time, and 4% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $107,119 per year, or $51.5 per hour.

Azure Databricks Engineer

Programmers.io

Louisville, KY • On-site

Contractor

Re-posted 4 days ago


Job description

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.