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Databricks Data Engineer Jobs in Kentucky (NOW HIRING)

$192 - $260/hr

Our engineering teams build highly technical products that fulfill real, important needs in the ... This requires data-driven analysis of all aspects of security programs at Databricks. Customers ...

$190 - $210/hr

About Databricks Databricks is the Data + AI company. More than 10,000 organizations worldwide ... Clear communication and strong cross-functional collaboration with researchers, engineers, and ...

$182 - $246/hr

You will gain expertise in cloud platforms, data engineering, data analytics, data science, and machine learning. In this customer-facing role, you will identify use cases for Databricks, develop ...

New

$180 - $248/hr

... Databricks Data Intelligence Platform. You will continue to strengthen your technical skills ... AI Engineer: Experience with the latest techniques in LLMs & agentic systems, including vector ...

$219 - $301/hr

Data Engineering technologies Ex: Spark, Hadoop, Kafka * Data Science and Machine Learning ... Databricks Certification * Location: Remote (Pacific Time preferred; Mountain Time considered). Pay ...

$180 - $248/hr

Data Engineering technologies (Ex: Spark, Hadoop, Kafka) * Data Science and Machine Learning ... Databricks Certification * Location: Remote (Pacific Time preferred; Mountain Time considered). Pay ...

$180 - $248/hr

Data Engineering technologies (Ex: Spark, Hadoop, Kafka) * Data Science and Machine Learning ... Databricks Certification NOTE: If your experience isn't a perfect match for the , but you feel like ...

$175 - $241/hr

Mission Databricks is hiring an L6 Enterprise Security Engineer to expand Enterprise Security ... This role will focus on securing enterprise applications, cross-system integrations, data flows ...

$111 - $191/hr

CSQ227R13 Applied AI Engineer, Learning Intelligence About the Role We are building the ... profile data (not just self-reported input) * Build and iterate on recommendation systems that ...

$130 - $190/hr

Proficiency in data engineering, analytics, and business intelligence solutions. * Strong knowledge of Databricks, data governance, and cloud‑based analytics environments. * Certifications such as ...

New

$180 - $248/hr

You will gain expertise in cloud platforms, data engineering, data analytics, data science, and machine learning. In this customer-facing role, you will identify use cases for Databricks, develop ...

$120 - $160/hr

Design, develop, and maintain scalable data pipelines using Databricks. * Build ETL/ELT workflows ... Collaborate with Data Architects, Data Scientists, BI developers, and business stakeholders.

New

$190 - $285/hr

Develop novel data collection, fine-tuning, and LLM technologies that achieve optimal performance ... engineering, and retrieval-augmented generation (RAG) is a bonus. Why Join Us? At Databricks, we ...

$166 - $225/hr

P-78 At Databricks, we are passionate about enabling data teams to solve the world's toughest ... Founded by engineers -- and customer obsessed -- we leap at every opportunity to solve technical ...

$120 - $160/hr

Extensive experience working with Databricks. * Working knowledge of the Alation data governance tool. * Strong skills in SQL (T-SQL), Python (PySpark/Pandas), DAX, Power Query (M), PL/SQL.

New

$181 - $301/hr

... Databricks Unified Analytics Platform ... As a team, we have expertise in cloud platforms, data engineering, data analytics, and data science ...

$166 - $210/hr

Summary As a Senior Applied ML Engineer on the Applied AI team at Databricks, you will use machine ... Build robust ML pipelines, data processing layers, model serving components, and production ...

$156 - $215/hr

... Engineering (FE) organization, the technical arm of Databricks' customer-facing teams. The TPM ... Leverage and expand your understanding of data platform technologies and processes, such as data ...

$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 ...

Showing results 21-40

Databricks Data Engineer information

See Kentucky salary details

$38.6K

$112.7K

$154.2K

How much do databricks data engineer jobs pay per year?

As of Aug 24, 2026, the average yearly pay for databricks data engineer in Kentucky is $112,662.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,400.00 and $119,400.00 per year, depending on experience, location, and employer.

What is a Databricks data engineer?

A Databricks Data Engineer is responsible for designing, building, and maintaining scalable data pipelines on the Databricks platform. They work with Apache Spark, Delta Lake, and cloud services to process large datasets efficiently. Their role involves data ingestion, transformation, optimization, and ensuring data quality for analytics and machine learning. Additionally, they collaborate with data scientists, analysts, and business teams to deliver reliable data solutions.

What does a Databricks data engineer do?

A typical day for a Databricks Data Engineer involves developing and maintaining scalable data pipelines, optimizing big data workflows using Spark, and collaborating with data scientists, analysts, and other engineers. You will regularly work within cloud environments to manage and process large datasets, conduct troubleshooting, and ensure data reliability and performance. Daily tasks may also include writing code, participating in team meetings, and implementing best practices for data security and governance. This role is highly collaborative, requiring frequent communication to align on project goals and address any technical challenges. The dynamic, project-based structure helps expand your skills and offers growth opportunities into senior engineering or data architecture roles.

What are the key skills and qualifications needed to thrive as a Databricks data engineer?

To thrive as a Databricks Data Engineer, you need strong expertise in data engineering concepts, big data processing, and programming languages such as Python, Scala, or SQL, often supported by a degree in computer science or a related field. Proficiency in Databricks, Apache Spark, cloud platforms (like AWS, Azure, or GCP), and relevant certifications such as Databricks Certified Data Engineer are highly valued. Effective problem-solving, collaboration, and clear communication skills help engineers work efficiently within cross-functional teams. These skills are essential for designing scalable data pipelines, ensuring data quality, and delivering actionable analytics in dynamic business environments.

How much does a Databricks data engineer make?

A Databricks Data Engineer typically earns between $90,000 and $150,000 annually, depending on experience, location, and certifications. Senior roles or those with advanced skills in Spark, cloud platforms, and data pipeline development can earn higher salaries.

Is a Databricks Data Engineer in demand?

Databricks Data Engineers are in high demand due to the increasing adoption of cloud-based data platforms and big data processing. Skills in Apache Spark, cloud environments, and data pipeline development are highly sought after, leading to strong job growth in this field.

What are the most commonly searched types of Databricks Data Engineer jobs in Kentucky?

The most popular types of Databricks Data Engineer jobs in Kentucky are:

What are popular job titles related to Databricks Data Engineer jobs in Kentucky?

For Databricks Data Engineer jobs in Kentucky, the most frequently searched job titles are:

Infographic showing various Databricks Data Engineer job openings in Kentucky as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $112,662 per year, or $54.2 per hour.

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

Neura Market

On-site

$192 - $260/hr

Other

Posted 10 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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