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Databricks Engineer Jobs in Kentucky (NOW HIRING)

Neura Market

$192 - $260/hr

RDQ426R282 Databricks is building the world's best and most secure platform for data and AI. We ... Our engineering teams build highly technical products that fulfill real, important needs in the ...

Neura Market

$153 - $210/hr

AI Engineer - FDE (Forward Deployed Engineer) (ALL LEVELS) CSQ327R177 Mission The AI Forward ... Develop cutting-edge GenAI solutions, incorporating the latest techniques from Databricks AI ...

Databricks Inc.

$180 - $248/hr

Production programming experience in Python, R, Scala or Java * Nice to have: Databricks Certification Zone 1 Pay Range $180,000 -- $247,500 USD About Databricks Databricks is the Data and AI company.

Gainwell Technologies

$68 - $97/hr

Summary We are seeking a highly skilled Senior Power BI & Databricks ETL Engineer with deep experience working with Medicaid claims, eligibility, provider, and encounter data . This role will design ...

Neura Market

$219 - $301/hr

Reporting to the Field Engineering Manager, you will collaborate with customers, product teams, and ... Become an expert in, promote, and recruit contributors for Databricks inspired open-source projects ...

Neura Market

$219 - $301/hr

Reporting to the Field Engineering Manager, you will collaborate with customers, product teams, and ... Become an expert in, promote, and recruit contributors for Databricks inspired open-source projects ...

Neura Market

$180 - $248/hr

Reporting to the Field Engineering Manager, you will collaborate with customers, product teams, and ... Become an expert in, promote, and recruit contributors for Databricks inspired open-source projects ...

Neura Market

$194 - $266/hr

Build a strong and collaborative partnership with product and engineering teams to launch new ... Based on the factors above, Databricks anticipated utilizing the full width of the range. The total ...

Neura Market

$219 - $301/hr

Mission Solutions Architects at Databricks lead the growth of the Databricks Unified Analytics ... As a team, we have expertise in cloud platforms, data engineering, data analytics, and data science ...

Neura Market

$180 - $248/hr

Reporting to the Field Engineering Manager, you will collaborate with existing DNB customers ... Databricks Certification NOTE: If your experience isn't a perfect match for the , but you feel like ...

Neura Market

$180 - $248/hr

You will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks platform with Startup and Emerging Enterprise customers. You will also help ...

Neura Market

$219 - $301/hr

You will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks platform into one of our largest AI native customers. You will also help ensure ...

Neura Market

$197 - $271/hr

Partner closely with Sales, Solutions Architects, Support, Product Engineering, and Professional ... Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The ...

Neura Market

$133 - $150/hr

Work with engineers and designers to ship features on the Databricks platformWork with a team to build features for the Databricks platform * Own your project end-to-end -- design, build, launch, and ...

Neura Market

$180 - $248/hr

Programming experience in Python, SQL or Scala * Can travel up to 35% when needed * Bachelor Degree in computer science or related field About Databricks Databricks is the data and AI company.

Doist

$250 - $340/hr

Role Overview At Databricks, we are passionate about enabling data teams to solve the world ... Founded by engineers -- and customer obsessed -- we leap at every opportunity to tackle technical ...

New

Doist

$190 - $270/hr

Staff Software Engineer - AI Research Infrastructure P-1215 At Databricks, we are obsessed with ... The Databricks AI Research organization enables companies to develop AI models and agents using ...

New

Neura Market

$180 - $248/hr

Programming experience in Python, SQL or Scala * Can travel up to 35% when needed * Bachelor Degree in computer science or related field About Databricks Databricks is the data and AI company.

Databricks Inc.

$150 - $210/hr

Databricks is seeking a Lakebase Associate Director Specialists to help customers modernize their ... Lead with outcomes for key Lakebase personas -- including platform teams and developers, data teams ...

Doist

$180 - $280/hr

Developer Experience & CI/CD Integration: Designing intuitive tools and APIs for seamless schema ... Ensuring the scalability and reliability of schema and data operations across Databricks' global ...

New

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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 22, 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 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 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 August 2026, with employment types broken down into 90% Full Time, 6% Part Time, and 4% Contract. 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.

Staff Data Scientist - Trust and Safety Databricks San Francisco, California

Neura Market

On-site

$192 - $260/hr

Other

Posted 8 days ago

Job description

RDQ426R282
Databricks is building the world's best and most secure platform for data and AI. We innovate and deploy industry-leading solutions in security, compliance, and governance.

As a member of the Trust and Safety Data Science team, you will work on projects critical to ensuring the security and compliance of the Databricks Platform. Our customers depend on Databricks to keep their data safe, all while orchestrating millions of virtual machines across three clouds in dozens of regions around the globe.

Our engineering teams build highly technical products that fulfill real, important needs in the world. We always push the boundaries of data and AI technology, while simultaneously operating with the security and scale that is critical to making customers successful on our platform. We serve many companies with varying security and compliance needs. To efficiently serve these markets, we need to understand how customers use our existing features. This requires data-driven analysis of all aspects of security programs at Databricks.

Customers also trust Databricks with their most valuable data and we have the mission to build the most trusted data analytics and ML platform in the world. We’re looking to expand our Trust and Safety Data Science team. You will join a group of “full stack” data scientists who partner with engineering and security teams, focusing on strategic plans that make Databricks secure and safe for our customers. The team will use statistical and machine learning techniques for fraud and abuse detection on our platforms using state of the art methods . You can read more about some of our efforts in this blog post. The work in fraud and abuse detection is dynamic and essential, offering an opportunity to make a substantial impact in maintaining the security and efficiency of business operations.

More information is available at Databricks Trust page.

The impact you will have:

  • You will develop and implement Machine Learning models to detect anomalous activity in products that we offer.
  • You will analyze the performance and pricing of security-related features and work with product and engineering teams to identify important opportunities.
  • You will collaborate with security engineers, trust and safety experts, and machine learning engineers to build a variety of systems and tools that protect Databricks and our customers from threats.
  • You will create solutions and frameworks to meet compliance requirements at Databricks
  • You will gather requirements, define project OKRs and milestones, and communicate progress to both technical and non-technical audiences.
  • You will guide junior data scientists and interns on the team by helping with project planning, technical decisions, and code and document review.
  • You will represent the data science discipline throughout the organization, using your powerful voice to make us more data-driven.
  • You will represent Databricks at academic and industrial conferences and events.

What we look for:

  • 7+ years of data science, machine learning, and advanced analytics experience in high-velocity, high-growth companies
  • Understanding of good software engineering practices around testing, code reviews, and deployment.
  • Experience working in a highly cross functional alignment and talking about results to non-technical partners.
  • Experience deploying Data Science / ML solutions in production to achieve results.
  • Coding skills in SQL and a software development language (preferably Python)
  • Experience with distributed data processing systems like Spark and familiarity with software engineering principles.
  • Prior experience applying machine learning and data analytics to identify SaaS product misuse and enhance compliance preferred but not required.
  • Masters or higher in quantitative fields or equivalent experience in industry

Pay Range Transparency

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.

Local Pay Range
$192,000—$260,000 USD

About Databricks

Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.

Benefits

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

Compliance

If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

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