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Databricks Software Jobs in Florence, KY (NOW HIRING)

Data Solutions Engineer

Cincinnati, OH · On-site

$91K - $156K/yr

... Databricks, Snowflake, and Informatica IDMC. Develop automation frameworks and CI/CD pipelines ... software engineering, systems integration, or a related field, with demonstrated expertise in ...

Data Solutions Engineer

Cincinnati, OH · On-site +1

$91K - $156K/yr

... Databricks, Snowflake, and Informatica IDMC. Develop automation frameworks and CI/CD pipelines ... software engineering, systems integration, or a related field, with demonstrated expertise in ...

DATA ENGINEER IV

Cincinnati, OH · On-site

$68 - $70/hr

Familiarity with ML tools like SageMaker or Databricks is helpful but not required - we're happy to help you learn. This is a hands-on role with high visibility and high impact. You'll be joining a ...

Building on Databricks - Develop, test, and deploy analytics and AI solutions within the Databricks Lakehouse environment provided by the data engineering team. Apply software engineering practices ...

Building on Databricks - Develop, test, and deploy analytics and AI solutions within the Databricks Lakehouse environment provided by the data engineering team. Apply software engineering practices ...

Building on Databricks - Develop, test, and deploy analytics and AI solutions within the Databricks Lakehouse environment provided by the data engineering team. Apply software engineering practices ...

Building on Databricks - Develop, test, and deploy analytics and AI solutions within the Databricks Lakehouse environment provided by the data engineering team. Apply software engineering practices ...

Technical Product Manager

Cincinnati, OH · On-site +1

$160K - $185K/yr

Experience working closely with software engineering teams in Agile environments. * Ability to ... Familiarity with Databricks, Google Cloud Platform (GCP), or similar cloud-based data platforms.

New

Data Engineer

Cincinnati, OH

$109K - $131K/yr

Databricks and DBT experience is a plus * Experience building and optimizing data pipelines, architectures, and data sets * Experience performing root cause analysis on internal and external data and ...

... Architect, Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies - Developing and documenting data models and data flow diagrams ...

Data Engineer

Cincinnati, OH · On-site

$109K - $131K/yr

Databricks and DBT experience is a plus * Experience building and optimizing data pipelines, architectures, and data sets * Experience performing root cause analysis on internal and external data and ...

... Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies - Developing and documenting data models, data flow diagrams, and data architecture ...

Experience working with the Azure Data Platform (Data Factory, Data Lake, Databricks preferred) in production environments * Proven ability integrating data across multiple systems and APIs * Solid ...

Create and/or provide governance of the Software Development Life Cycle (SDLC) documentation needed ... Familiarity with cloud-based data platforms such as Databricks, Amazon We Services (AWS), or ...

... Databricks or similar technologies. Advanced Analytics and Data Visualizations * Extensive ... learning software and methods * Experience and knowledge of programming and scripting languages ...

Principal Data Scientist

Cincinnati, OH · On-site +1

$165K - $249K/yr

In this role, you will collaborate closely with ML software engineers, product managers, and other ... Experience with cloud platforms (e.g., AWS,GCP,Snowflake, Databricks, Vertex AI) * Agile ...

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Databricks Software information

See Florence, KY salary details

$47.6K

$111K

$164.7K

How much do databricks software jobs pay per year?

As of Jul 16, 2026, the average yearly pay for databricks software in Florence, KY is $111,002.00, according to ZipRecruiter salary data. Most workers in this role earn between $89,300.00 and $129,000.00 per year, depending on experience, location, and employer.

What engineer makes $500,000 a year?

Senior software engineers, especially those working in high-demand fields like data engineering or cloud engineering at large tech companies, can earn $500,000 or more annually. These roles often require extensive experience, advanced skills in programming and cloud platforms, and may include bonuses or stock options that contribute to total compensation.

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.

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. Senior roles and specialized skills in data engineering or cloud platforms can command higher compensation. Benefits often include stock options, bonuses, and professional development opportunities.

Is Databricks a high paying job?

Working as a Databricks software engineer or data scientist typically offers above-average salaries compared to other tech roles, reflecting the specialized skills in cloud platforms, big data, and Spark. Compensation varies based on experience, location, and certifications, but generally includes competitive base pay, bonuses, and stock options. These roles often require knowledge of programming languages like Python or Scala and familiarity with cloud environments such as AWS or Azure.

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 that run on the Databricks platform, typically involving data processing, machine learning, or analytics tasks. They can be scheduled, monitored, and managed through the Databricks workspace, requiring knowledge of Spark, SQL, or Python scripting. Job roles often involve configuring clusters and ensuring efficient execution of data pipelines.

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.

Data Solutions Engineer

Data Solutions Engineer

Paychex

Cincinnati, OH • On-site

$91K - $156K/yr

Full-time

Medical, Retirement, PTO

Re-posted 29 days ago


Paychex rating

7.3

Company rating: 7.3 out of 10

Based on 174 frontline employees who took The Breakroom Quiz

205th of 451 rated business services


Job description

Paychex is reimagining how businesses manage their workforce by bringing payroll, HR, benefits, and advisory services together into a single connected HCM platform. As Paychex and Paycor come together, we're combining innovative technology, data-driven insights, AI, and human expertise to help organizations work smarter, support their people, and achieve better business outcomes. This is an exciting time to join our team as we continue to invest in innovation, simplify client experiences, and shape the future of work. At Paychex, you'll have the opportunity to grow your career, make a meaningful impact, and be part of something bigger as One Paychex.
Overview
The Data Solutions Engineer will play a key role in integrating, architecting, and optimizing data systems to support data monetization, analytics, machine learning, artificial intelligence, and large-scale data operations. The role will involve collaborating with cross-functional teams to develop and deploy end-to-end solutions that improve data availability, scalability, security, and overall performance, ensuring alignment with both business goals and technical best practices.
Responsibilities
  • Work with architects, operations teams, and data scientists to define data requirements and translate them into actionable data strategies. Design, build and optimize data systems for performance, scalability, ease of use and reliability, leveraging tools for observability and troubleshooting; includes exploration of multiple solution options for any given integration objective and analysis of associated advantages and disadvantages. Enhance system integration for data workflows, ensuring performance metrics are met and all integrations remain stable and secure. Collaborate on the integration of AI/ML platforms, ensuring seamless multi-cloud and hybrid cloud operations
  • Build and optimize data pipelines to support data extraction, transformation, and loading (ETL) processes using technologies such as Databricks, Snowflake, and Informatica IDMC. Develop automation frameworks and CI/CD pipelines using tools like Terraform, GitHub Actions, and Azure Pipelines for efficient and reliable data deployment. Ensure data pipelines comply with security, privacy, and compliance standards. Provide occasional operational support and troubleshooting for existing processes and systems.
  • Work closely with internal teams, including data engineers, data scientists, analytics engineers and business stakeholders, to understand platform solution needs. Mentor junior engineers, providing guidance on best practices and technologies. Evangelize integration practices and knowledge within the organization to improve collaboration across teams.
  • Stay abreast of the latest trends in cloud computing, machine learning, AI, and data engineering. Explore new technologies and methodologies to continuously improve systems, tools, and data processes.

Note: Candidates must be legally authorized to work in the United States on a permanent basis. We do not offer visa sponsorship now or in the future.
Qualifications
  • Bachelor's Degree in Computer Science, Data Science, Engineering, or related field - Required
  • 7 years of experience in data engineering, software engineering, systems integration, or a related field, with demonstrated expertise in designing, building, and deploying scalable data solutions.
  • 4 years of experience in cloud technologies (Azure, AWS, Google Cloud) and large-scale data processing.
  • 1 year of experience in machine learning model deployment, AI/ML solutions, and data pipeline architecture.
  • Less than 1 year of experience in Familiarity with AI/ML frameworks, DevOps practices, and MLOps processes for integrating AI solutions.
  • Snowflake SnowPro - Preferred

Compensation
In the spirit of pay transparency, we are excited to share that the base pay range for this position is $91,526 - 156,500 per year . Please keep in mind that this range is the base pay only and does not consider other components that make up the total rewards package for the position. If you are hired at Paychex, your overall compensation will be determined based on factors such as geographic location, skills, education, and/or experience which may result in total compensation outside of this range
Live the Paychex Values
  • Act with uncompromising integrity.
  • Provide outstanding service and build trusted relationships.
  • Drive innovation in our products and services and continually improve our processes.
  • Work in partnership and support each other.
  • Be personally accountable and deliver on commitments.
  • Treat each other with respect and dignity.

  • What's in it for you?
    • We value your well-being: We provide over 21 comprehensive rewards, including medical coverage, virtual wellness classes, tuition reimbursement, 401(k) + employer match, adoption assistance, financial assistance, and much more.
    • We value your time: From paid time off to company holidays, culture days, and comprehensive work-life balance programs, we will ensure you have the flexibility you need to be your best.
    • We value your development: Our award-winning training and development programs empower our employees with ongoing learning opportunities to give you the building blocks to grow your career.
    • We value your perspective: Our company culture reflects the diversity of our employees. We want you to be you and your voice to be heard.
    • We value our communities: We offer paid time off for volunteerism and promote many company-wide and local initiatives that benefit organizations you care about.

    • Note: The benefits described apply to full-time employees. Benefits for part-time, contract, and intern roles may vary.
      Not sure if you meet every requirement?
      At Paychex, we know that great talent comes in many forms. If you're passionate about the role but don't check every box, we still encourage you to apply. You might be the right fit - either for this position or another opportunity with us.
      Paychex is an equal opportunity employer. We are committed to fostering a respectful and inclusive workplace where all individuals are treated fairly and evaluated based on their qualifications, experience, and merit. We comply with all applicable federal, state, and local laws prohibiting discrimination in employment.

    What Paychex employees say

    Pay

    Benefits

    Hours and flexibility

    Workplace

    Get the full story on Breakroom


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    About Paychex

    Sourced by ZipRecruiter

    Consult with America's businesses, leveraging Paychex key referral channels and partnerships to educate stakeholders on our services, and provide consultative solutions to increase market share and drive revenue.

    Industry

    Human resources consulting services

    Company size

    10,000+ Employees

    Headquarters location

    Rochester, NY, US

    Year founded

    1971

    Social media