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Databricks Engineer Jobs in Kentucky (NOW HIRING)

Humana

Senior Applied AI Engineer

Louisville, KY · On-site +1

$100K - $137K/yr

The hiring team owns a large data store in Databricks Unity Catalog containing all ITSM data that this role will leverage for their work. You will work closely with data engineering and business ...

Humana

Senior Applied AI Engineer

Louisville, KY · On-site +1

$100K - $137K/yr

The hiring team owns a large data store in Databricks Unity Catalog containing all ITSM data that this role will leverage for their work. You will work closely with data engineering and business ...

Humana, Inc.

Senior Applied AI Engineer

Louisville, KY · On-site

$100K - $137K/yr

The hiring team owns a large data store in Databricks Unity Catalog containing all ITSM data that this role will leverage for their work. You will work closely with data engineering and business ...

Pwc

Data Engineer - Senior Associate

Louisville, KY · On-site

$77K - $202K/yr

... Engineer - Senior Associate, you will focus on designing and building data infrastructure and ... Databricks Unified Data Analytics Platform for advanced data analytics and visualization ...

Pwc

AI Engineer

Louisville, KY · On-site

$50K - $112K/yr

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 ...

FISCHER HOMES

SENIOR DATA ENGINEER

Erlanger, KY · On-site

$104K - $142K/yr

Hands-on experience with Microsoft Fabric, Azure Data Factory, Azure Synapse, Databricks, Snowflake ... Fabric Data Engineer Associate (DP-700), or actively pursuing certification. * Experience migrating ...

Fischer Homes

SENIOR DATA ENGINEER

Erlanger, KY · On-site

$104K - $142K/yr

Hands-on experience with Microsoft Fabric, Azure Data Factory, Azure Synapse, Databricks, Snowflake ... Fabric Data Engineer Associate (DP-700), or actively pursuing certification. * Experience migrating ...

Fischer Homes

SENIOR DATA ENGINEER

Erlanger, KY

$104K - $142K/yr

Hands-on experience with Microsoft Fabric, Azure Data Factory, Azure Synapse, Databricks, Snowflake ... Fabric Data Engineer Associate (DP-700), or actively pursuing certification. * Experience migrating ...

FISCHER HOMES

SENIOR DATA ENGINEER

Erlanger, KY

$104K - $142K/yr

Hands-on experience with Microsoft Fabric, Azure Data Factory, Azure Synapse, Databricks, Snowflake ... Fabric Data Engineer Associate (DP-700), or actively pursuing certification. * Experience migrating ...

Pwc

AI Engineer

Louisville, KY · On-site

$55K - $187K/yr

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

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All JobsDatabricks Engineer JobsDatabricks Engineer Jobs in Kentucky

Databricks Engineer information

See Kentucky salary details

$51.7K

$97K

$176.3K

How much do databricks engineer jobs pay per year?

As of Aug 1, 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 engineer makes $500,000 a year?

Senior Databricks Engineers with extensive experience, specialized skills in big data, cloud platforms, and advanced analytics can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or with significant bonuses and stock options. Such compensation typically requires a combination of technical expertise, leadership roles, and years of industry experience.

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 job market for qualified candidates.

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 engineering may earn higher compensation. Salaries can also vary based on industry demand and certifications held.

Is Databricks a high paying job?

A Databricks Engineer typically earns a high salary due to the specialized skills required in cloud computing, big data processing, and Spark platform expertise. Compensation varies based on experience, location, and certifications, but it is generally above average for data engineering roles.

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 job categories do people searching Databricks Engineer jobs in Kentucky look for? The top searched job categories for Databricks Engineer jobs in Kentucky are:
What cities in Kentucky are hiring for Databricks Engineer jobs? Cities in Kentucky with the most Databricks Engineer job openings:
Databricks Engineer jobs near you
Infographic showing various Databricks Engineer job openings in Kentucky as of July 2026, with employment types broken down into 1% As Needed, 89% Full Time, 5% Part Time, and 5% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $96,955 per year, or $46.6 per hour.

Azure Databricks Engineer

Programmers.io

Louisville, KY • On-site

Contractor

Re-posted 13 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.