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Databricks Engineer Jobs in Kentucky (NOW HIRING)

iLink Digital

Milpitas, United States | Posted on 07/22/2026 We are looking for a skilled Databricks Engineer with strong expertise in designing, developing, and optimizing modern data engineering solutions on the ...

Stefanini, Inc

POSITION OVERVIEW The Senior BI Lead & Databricks Engineer is responsible for serving as the technical authority and team leader for Business Intelligence and data platform initiatives. This is a ...

Hitachids

$77K - $105K/yr

Preferred Qualifications Databricks Certified Data Engineer Professional / Architect certification. AWS/Azure/GCP cloud architect certifications. Experience with BI tools (Tableau, Power BI, Looker)

Scalence L.L.C.

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 ...

Ethereum Technologies LLC

$37 - $51/hr

Bachelor's Degree in Computer Science, Data Science, or related field. * 6+ years of experience in Python development and data engineering. Hands-on experience with Databricks and model lifecycle ...

Rallyday Partners

$90K - $119K/yr

Who you are You are a Databricks-focused Data Engineer who understands that great data platforms are only as valuable as the products, AI workflows, and experiences they enable. You bring deep ...

Far Coder

$78K - $106K/yr

Who you are You are a Databricks-focused Data Engineer who understands that great data platforms are only as valuable as the products, AI workflows, and experiences they enable. You bring deep ...

Triwill Group

$77K - $105K/yr

Our partner is looking for a Senior Databricks Platform Engineer based in United States. This role offers the opportunity to lead the design, administration, and optimization of an enterprise-scale ...

New

S27a

$84K - $101K/yr

Role Overview We are looking for an experienced Databricks Data Engineer to support, maintain, and enhance existing Databricks-based data applications and pipelines. The role focuses on ensuring ...

Databricks Inc.

$182K - $250K/yr

Work with Engineering and Databricks Customer Support to provide product and implementation ... feedback and to guide rapid resolution for engagement specific product and support issues.

Luxoft

$84K - $101K/yr

... and engineering workflows. SKILLS Must have * 8+ years of platform and data solutions experience * Hands-on Databricks experience (workspace, notebooks, jobs) and building platform capabilities

Gswell

$84K - $101K/yr

Apply Databricks development standards and data engineering best practices. * Administer and monitor enterprise MariaDB and SQL Server environments. * Design databases, schemas, tables, views, stored ...

Databricks Inc.

$182K - $250K/yr

Work with Engineering and Databricks Customer Support to provide product and implementation ... feedback and to guide rapid resolution for engagement specific product and support issues What we ...

Databricks Inc.

$190K - $253K/yr

P-1607 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 ...

AUGUST SCHELL ENTERPRISES, INC.

$84K - $101K/yr

We are looking for a highly skilled Data Engineer with expert-level knowledge to assume a key role ... Databricks Expertise: Optimize data processing by using your expertise in Databricks, develop Spark ...

Databricks Inc.

$190K - $253K/yr

P-1607 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 ...

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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 Sep 11, 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 88% Full Time, 2% Part Time, 7% Temporary, and 3% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $96,955 per year, or $46.6 per hour.

Databricks Engineer

On-site

iLink Digital
IT Services • 501 - 1,000 employees
Learn more about iLink Digitalexternal

Other

Posted 21 days ago

Job description

Milpitas, United States | Posted on 07/22/2026

We are looking for a skilled Databricks Engineer with strong expertise in designing, developing, and optimizing modern data engineering solutions on the Databricks Lakehouse Platform. The ideal candidate should have experience building scalable ETL/ELT pipelines, working with large-scale data, and leveraging Apache Spark to deliver high-performance data solutions.

Key Responsibilities
  • Design, develop, and maintain scalable data pipelines using Databricks.
  • Build ETL/ELT workflows for batch and streaming data processing.
  • Develop solutions using PySpark, Spark SQL, and Delta Lake.
  • Implement Medallion Architecture (Bronze, Silver, Gold) for data transformation.
  • Integrate data from various sources including relational databases, APIs, cloud storage, and streaming platforms.
  • Optimize Spark jobs for performance, scalability, and cost efficiency.
  • Collaborate with Data Architects, Data Scientists, BI developers, and business stakeholders.
  • Implement CI/CD pipelines and deployment automation for Databricks workloads.
  • Ensure data quality, security, governance, and compliance.
  • Monitor, troubleshoot, and optimize production data pipelines.
  • Document technical solutions and follow engineering best practices.
Required Skills
Core Technologies
  • Databricks Lakehouse Platform
  • PySpark
  • Spark SQL
  • Python
  • SQL
Cloud Platforms (one or more)
  • AWS
  • Data Warehousing
  • Data Modeling
  • ETL/ELT Development
  • Batch Processing
  • Data Lake Architecture
  • Git
Preferred Qualifications
  • Experience with Unity Catalog.
  • Knowledge of Databricks Workflows and Jobs.
  • Hands-on experience with Delta Live Tables (DLT).
  • Exposure to MLflow is an added advantage.
  • Experience with data governance and security best practices.
  • Familiarity with Infrastructure as Code (Terraform) is a plus.
Educational Qualification
  • Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related field.
Preferred Certifications
Good to Have
  • Experience with real-time analytics.
  • Knowledge of Lakehouse architecture.
  • Experience with Agile/Scrum methodologies.
  • Strong analytical and problem-solving skills.
  • Excellent communication and stakeholder management abilities.
Mandatory Skills
  • Databricks
  • PySpark
  • Spark SQL
  • Python
  • SQL
  • Azure/AWS/GCP (at least one cloud platform)
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