1

Databricks Software Jobs in Florence, KY (NOW HIRING)

Our data engineers use PySpark/Python, Databricks, and other data engineering technologies and ... Experience with version control software * Strong understanding of Agile Principles (Scrum)

Within our Internal Firm Services practice, you will apply data, algorithms, and software ... Microsoft Azure, Databricks, Snowflake, or related data and AI credentials - Building and ...

Azure Databricks, Python, and Spark * Ex- Wallmart/Kroger/Microsoft or Any retail/ecommerce like will be ideal/Preffered * Soft Skills: Problem-solving, attention to detail, ability to work ...

Azure Data Engineer (Python & AI/ML)

Cincinnati, OH · On-site

$111K - $134K/yr

Azure Data Factory (ADF), Azure Databricks, Azure Synapse Analytics, Azure Data Lake Storage (ADLS Gen2) • Advanced proficiency in Python (data processing, scripting, automation) • Strong ...

Data Scientist

Cincinnati, OH · On-site

$55 - $60/hr

Build scalable, production-ready ML pipelines using software engineering and MLOps best practices ... Experience with Azure, Databricks, or similar cloud platforms. * Experience with MLOps, deployment ...

Data Solutions Engineer

Cincinnati, OH · On-site

$111K - $134K/yr

... Databricks, Apache Spark, Apache Airflow • Azure Logic Apps, Azure DevOps, Power Automate, REST ... software solutions. REQUIRED INTERPERSONAL AND COMMUNICATION SKILLS: 1. Maintain effective ...

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 ...

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.

Data Engineer I - Finance

Cincinnati, OH · On-site

$109K - $131K/yr

Exposure to Microsoft Fabric, Lakehouse, Databricks, Azure, or similar cloud data platforms preferred.* Familiarity with Tabular Editor, DAX Studio, Python, Git, or Power Automate is a plus.Where you ...

New

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 ...

Solution Architect (P4643)

Cincinnati, OH · On-site

$60.50 - $79.75/hr

You will work closely with data scientists, ML engineers, software engineers, data engineers ... with Databricks, Snowflake, Delta Lake, Azure Data Lake Storage, Spark, or similar cloud data ...

New

Data Engineer

Cincinnati, OH · On-site

$109K - $131K/yr

Exposure to Microsoft Fabric, Lakehouse, Databricks, Azure, or similar cloud data platforms preferred. * Familiarity with Tabular Editor, DAX Studio, Python, Git, or Power Automate is a plus. Where ...

New

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 ...

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

... 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 ...

Senior Systems Support Engineer

Cincinnati, OH · On-site

$100K - $137K/yr

You will efficiently use DevOps tools and practices to deploy and run software. * You will act as a ... You have experience working with relational databases such as SQL & DataBricks. * You have ...

Showing results 21-40

Databricks Software information

See Florence, KY salary details

$47.6K

$111K

$164.7K

How much do databricks software jobs pay per year?

As of Aug 23, 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 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.

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 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 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 Florence, KY?

For Databricks Software jobs in Florence, KY, the most frequently searched job titles are:

What job categories do people searching Databricks Software jobs in Florence, KY look for?

The top searched job categories for Databricks Software jobs in Florence, KY are:

Infographic showing various Databricks Software job openings in Florence, KY as of June 2026, with employment types broken down into 1% As Needed, 95% Full Time, 1% Part Time, and 3% Contract. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution, with an average salary of $111,002 per year, or $53.4 per hour.

Senior Data Engineer (P1129)

84.51°

Cincinnati, OH • On-site

$98K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 9 days ago


Job description

84.51° Overview:
84.51° is a retail data science, insights and media company. We help The Kroger Co., consumer packaged goods companies, agencies, publishers and affiliates create more personalized and valuable experiences for shoppers across the path to purchase.
Powered by cutting-edge science, we utilize first-party retail data from more than 62 million U.S. households sourced through the Kroger Plus loyalty card program to fuel a more customer-centric journey using 84.51° Insights, 84.51° Loyalty Marketing and our retail media advertising solution, Kroger Precision Marketing.
84.51° follows a 5-day in-office work schedule to support collaboration, alignment, and team connection.
Join us at 84.51°!
Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States and with the Kroger Family of Companies (i.e. H1-B visa, F-1 visa (OPT), TN visa or any other non-immigrant status)
As a Senior Data Engineer, you will have the opportunity to build solutions that ingest, transform, store, and distribute our big data to be consumed by data scientists and our products.
Our data engineers use PySpark/Python, Databricks, and other data engineering technologies and visualization tools to deliver data capabilities and services to our scientists, products, and tools.
This role will also have exposure to Python microservice development, leveraging FastAPI, Helm, AKS and other Aure based technologies for building and hosting applications at scale.
RESPONSIBILITIES: Take ownership of features and drive them to completion through all phases of the entire 84.51° SDLC. This includes internal and external facing applications as well as process improvement activities:
  • Participate in the design and development of Databricks and Cloud-based solutions
  • Implement automated unit and integration testing
  • Collaborate with architecture and lead engineers to ensure consistent development practices
  • Provide mentoring to junior engineers
  • Participate in retrospective reviews
  • Participate in the estimation process for new work and releases
  • Collaborate with other engineers to solve and bring new perspectives to complex problems
  • Drive improvements in data engineering practices, procedures, and ways of working
  • Embrace new technologies and an ever-changing environment

QUALIFICATIONS, SKILLS & EXPERIENCE
  • 3+ years proven ability of professional Data Development experience
  • 3+ years proven ability of developing with Databricks
  • 3+ years of experience with PySpark/Spark
  • 3+ years of experience developing with either Python or Java
  • Full understanding of ETL concepts and Data Warehousing concepts
  • Experience with Pipeline Orchestration
  • Experience with CI/CD
  • Experience with version control software
  • Strong understanding of Agile Principles (Scrum)
  • Demonstrates an understanding of AI concepts and patterns.
  • Bachelor's Degree (Computer Science, Management Information Systems, Mathematics, Business Analytics, or STEM)

Desired Characteristics & Technical Skills:
  • Experience with Azure
  • Experience with Databricks Delta Tables, Delta Lake, Delta Live Tables
  • Proficient with Relational Data Modeling
  • Experience with CI/CD pipelines
  • Experience with Python Library Development
  • Experience with FastAPI/Flask service development
  • Experience working with AKS/Kubernetes/Helm
  • Experience with DevOps / Monitoring & Reliability
  • Experience with Structured Streaming (Spark or otherwise)
  • Experience with Kafka and/or Azure Event Hub
  • Experience with Github SaaS / Github Actions
  • Experience with Terraform
  • Exposure to BI Tooling (Tableau, Power BI, Cognos, etc.)

#LI-AB1
Pay Transparency and Benefits
  • The stated salary range represents the entire span applicable across all geographic markets from lowest to highest. Actual salary offers will be determined by multiple factors including but not limited to geographic location, relevant experience, knowledge, skills, other job-related qualifications, and alignment with market data and cost of labor. In addition to salary, this position is also eligible for variable compensation.
  • Below is a list of some of the benefits we offer our associates:
    • Health: Medical: with competitive plan designs and support for self-care, wellness and mental health. Dental: with in-network and out-of-network benefit. Vision: with in-network and out-of-network benefit.
    • Wealth: 401(k) with Roth option and matching contribution. Health Savings Account with matching contribution (requires participation in qualifying medical plan). AD&D and supplemental insurance options to help ensure additional protection for you.
    • Happiness: Paid time off with flexibility to meet your life needs, including 5 weeks of vacation time, 7 health and wellness days, 3 floating holidays, as well as 6 company-paid holidays per year. Paid leave for maternity, paternity and family care instances.

Pay Range
$98,000-$169,050 USD