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Databricks Software Jobs in Kentucky (NOW HIRING)

Data Engineer

Louisville, KY · On-site

$110K - $132K/yr

SQL Server, Snowflake, Databricks, Azure) * Experience with various visualization solutions (e.g. Tableau, PowerBI, Sigma, MicroStrategy) * Experience with various ETL and orchestration solutions (e ...

Senior Cloud Solutions Engineer

Louisville, KY · Remote

$53 - $68.50/hr

... and testing of software applications * Strong SQL skills * Experience with Azure Functions ... Databricks experience * Python experience Additional Information Work-At-Home Requirements To ...

Senior Cloud Solutions Engineer

Louisville, KY · On-site

$53 - $68.50/hr

... and testing of software applications * Strong SQL skills * Experience with Azure Functions ... Databricks experience * Python experience Additional Information Work-At-Home Requirements To ...

Senior Cloud Solutions Engineer

Louisville, KY · Remote

$53 - $68.50/hr

... and testing of software applications * Strong SQL skills * Experience with Azure Functions ... Databricks experience * Python experience Additional Information Work-At-Home Requirements To ...

Senior Cloud Solutions Engineer

Louisville, KY · Remote

$53 - $68.50/hr

... and testing of software applications * Strong SQL skills * Experience with Azure Functions ... Databricks experience * Python experience Additional Information Work-At-Home Requirements To ...

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Databricks Software information

What engineer makes $500,000 a year?

Senior software engineers, especially those working in high-demand fields like data engineering or cloud engineering at top tech companies, can earn $500,000 or more annually through base salary, bonuses, and stock options. Expertise in platforms like Databricks, strong coding skills, and experience in scalable data solutions are often required for such compensation levels.

What is Databricks Software?

Databricks Software is a unified analytics platform built on Apache Spark that provides tools for big data processing, machine learning, and collaborative data science. It enables organizations to store, manage, and analyze large datasets efficiently, supporting both batch and streaming data workloads. Databricks also offers collaborative notebooks, automated workflows, and integrations with cloud storage and data lakes, making it a popular choice for data engineering, data science, and business analytics teams.

Is Databricks a high paying company?

As a company specializing in data analytics and cloud-based platforms, Databricks is known to offer competitive salaries for software roles, often above industry averages, especially for positions requiring skills in Spark, Python, and cloud services. Compensation can vary based on experience, location, and role level, but overall, it is considered a high-paying employer in the tech industry.

How much do Databricks employees make?

Salaries for Databricks software roles vary based on experience, location, and specific position, but the average annual salary for software engineers at Databricks typically ranges from $100,000 to $150,000. Compensation may also include bonuses, stock options, and benefits. Entry-level roles tend to start lower, while senior positions and specialized skills can command higher pay.

What are some common challenges faced by Databricks Software Engineers, and how can they be overcome?

Databricks Software Engineers often encounter challenges related to scaling big data pipelines, optimizing Spark workloads, and integrating diverse data sources. Navigating the complexity of distributed systems and managing cloud infrastructure can be demanding, especially when ensuring data reliability and security. To overcome these challenges, engineers typically collaborate closely with data scientists, DevOps, and platform teams, leverage Databricks' extensive documentation and community support, and adopt best practices such as version control and continuous integration. Regular knowledge sharing and staying updated with new features also help engineers succeed in this dynamic environment.

What are the key skills and qualifications needed to thrive as a Databricks Software Engineer, and why are they important?

To thrive as a Databricks Software Engineer, you need strong programming skills in languages like Python, Scala, or Java, as well as a solid understanding of distributed computing and data engineering concepts. Familiarity with Databricks platform, Apache Spark, cloud services (such as AWS or Azure), and relevant certifications like Databricks Certified Data Engineer are highly valued. Excellent problem-solving abilities, collaboration, and effective communication are important soft skills for this role. These skills ensure efficient development, deployment, and optimization of big data solutions that drive business insights and innovation.

What exactly are Databricks jobs?

Databricks jobs are automated tasks or workflows scheduled within the Databricks platform to run data processing, analytics, or machine learning tasks. They typically involve configuring job parameters, dependencies, and schedules using the Databricks workspace or APIs to ensure efficient data pipeline execution.

What is the difference between Databricks Software vs Data Engineer?

AspectDatabricks SoftwareData Engineer
Primary RolePlatform for data analytics and machine learningBuilds, maintains data pipelines and infrastructure
Required SkillsSQL, Spark, cloud platforms, data science basicsSQL, ETL, programming (Python, Scala), database management
Work EnvironmentCloud-based, collaborative data platformData teams, cloud or on-premises environments
CertificationsDatabricks certifications, cloud certificationsNone specific, often cloud or data certifications

While Databricks Software provides a platform for data analytics and machine learning, Data Engineers focus on building and maintaining data pipelines and infrastructure. Both roles often work together but have distinct responsibilities and skill sets within the data ecosystem.

What are popular job titles related to Databricks Software jobs in Kentucky? For Databricks Software jobs in Kentucky, the most frequently searched job titles are:
What job categories do people searching Databricks Software jobs in Kentucky look for? The top searched job categories for Databricks Software jobs in Kentucky are:
What cities in Kentucky are hiring for Databricks Software jobs? Cities in Kentucky with the most Databricks Software job openings:
Infographic showing various Databricks Software job openings in Kentucky as of June 2026, with employment types broken down into 92% Full Time, and 8% Part Time. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution.
Data Engineer

$110K - $132K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 6 days ago


Stock Yards Bank & Trust rating

8.8

Company rating: 8.8 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

11th of 141 rated banks


Job description

Stock Yards Bancorp, Inc. (NASDAQ: SYBT), parent company of Stock Yards Bank & Trust Company, with offices in Louisville, Central, Eastern and Northern Kentucky, as well as the Indianapolis, Indiana and Cincinnati, Ohio metropolitan markets.
Job Title: Data Engineer
FLSA Status: Exempt
Department: Enterprise Data Analytics
Hours of Operation: Monday - Friday - 40 hours
General Job Summary:
Stock Yards Bank & Trust is seeking a skilled and detail-oriented Data Engineer to support the bank's data analytics initiatives. The selected candidate will work closely with data analysts, data scientists, and key stakeholders across the bank to design, develop, and maintain scalable data pipelines and infrastructure. This role involves designing and implementing ETL processes, ensuring data quality and integrity, and developing robust data models to support comprehensive reporting and analytics needs. The ideal candidate will have a strong technical background in data engineering, experience with various database architectures and ETL tools, and a passion for leveraging data to drive business value. This is an onsite position with no relocation assistance provided.
Organizational Duties and Responsibilities:
  • Supports the mission, vision and philosophy of the bank. Complies willingly with all organizational policies and procedures.
  • Supports all functions that maintain compliance with regulatory agencies.

Essential Duties and Responsibilities:
  • Design, develop, and maintain scalable data pipelines to support the bank's data analytics initiatives
  • Implement and optimize ETL processes to ensure efficient data flow and integration from various sources, including APIs, SFTP, cloud and on-prem systems
  • Collaborate and communicate effectively with analysts and business stakeholders to empower self-service analytics, facilitate the discovery of insights, and create intuitive visual representations of data
  • Develop and maintain data models to support reporting, analytics, and data visualization needs
  • Developing and implementing data security measures to protect sensitive information
  • Ensure data quality and integrity by implementing data governance practices, including data validation, cleansing, and classification
  • Monitor and troubleshoot data pipeline performance to ensure reliability, efficiency and cost optimization
  • Maintain healthy code repositories and leverage source control systems (e.g., Git) to ensure efficient version management, seamless collaboration, and adherence to best practices in code management
  • Develop and maintain an understanding of the bank's data sources and how they can be used to provide business value for the bank
  • Stay up to date with emerging technologies and industry trends to drive innovation and maintain a competitive edge in data engineering
  • Develop and maintain documentation for data pipelines, processes, and data models

Working Conditions: Works in office with occasional travel to bank locations, training seminars and conferences
Education: Bachelor's degree in Data Analytics, Statistics, Mathematics, Computer Science, Business Administration or related field
Experience:
  • 5+ years of experience working in an analytics/data engineering role
  • Track record of success in developing and deploying creative insights, services and solutions that drove increased business value
  • Financial services background is a plus
  • 3+ years working on maintaining databases with a focus on improving data ingestion pipelines
  • Expertise in designing and implementing star schema dimensional models, establishing a single source of truth for analytical reporting, dashboards and insights discovery
  • Experience with various database architectures (e.g. SQL Server, Snowflake, Databricks, Azure)
  • Experience with various visualization solutions (e.g. Tableau, PowerBI, Sigma, MicroStrategy)
  • Experience with various ETL and orchestration solutions (e.g. Informatica, Fivetran, DBT, Matillion)
  • Proficient in writing advanced SQL to handle complex data transformations

Specific Skills:
  • Motivated, self-starter
  • Track record of working autonomously with organizational and time management skills
  • Proven ability to manage multiple projects simultaneously while maintaining high standards of quality and meeting deadlines
  • Enjoy supporting team members by sharing technical knowledge and helping solve problems
  • Ability to develop and follow documented policies and procedures to ensure proper compliance
  • Strong technical acumen and decision-making skills
  • Strong problem-solving skills with the ability to troubleshoot and resolve complex technical issues efficiently
  • Exhibit a professional appearance and demeanor
  • Ability to work flexible work schedules, after-hours as required
  • Professional verbal and written communication skills
  • Ability to use the Microsoft Office M365 suite of products

Physical requirements:
The physical demands described here are representative of those that must be met by an employee in order to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
  • Primarily sedentary work performed in an office environment
  • Ability to sit for extended periods of time while working at a computer
  • Frequent use of hands and fingers to operate a computer, keyboard, mouse, and other office equipment
  • Ability to speak clearly and hear well enough to communicate with clients, team members, and vendors via phone, video, and in person
  • Visual acuity sufficient to read computer screens, printed documents, and financial data
  • Occasional standing, walking, bending, or reaching
  • Ability to lift and carry up to 10-15 pounds occasionally (e.g., files, office supplies)

Benefits:
  • 401(K) with a company match of up to 6%
  • ESOP employer match
  • Medical insurance
  • Dental insurance
  • Vision insurance
  • Cancer/Disease insurance
  • Accident insurance
  • Flexible Spending Accounts
  • Flexible Savings Accounts
  • Health Savings Accounts
  • Bank paid Life/AD&D insurance
  • Voluntary Life/AD&D insurance
  • Bank paid Short-Term and Long-Term Disability insurance
  • Employee Stock Purchase Plan
  • Employee Assistance Program