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Python Jobs in Florence, KY (NOW HIRING)

VTal Technology Solutions

Lead Data Engineer

Cincinnati, OH

$98K - $129K/yr

The team is seeking a Lead Data Engineer experienced in implementing modern data solutions in Azure, with strong hands-on skills in Databricks, Spark, Python, and cloud-based DataOps practices. The ...

Hudson Manpower

Backend Developer III

Cincinnati, OH · On-site

Application Dev. Experience in program languages C#, Java, .Net, Python, Perl, Ruby or similar Experience with advanced SQL query writing, data retrieval, data mining from relational databases such ...

EndoSec LLC

FPGA Engineer

Cincinnati, OH · On-site

$124K - $160K/yr

Description Apply Now RTL, C/C++, Python, VHDL, Verilog, Tcl, cryptography, hardware, embedded software, System Integration, Hardware Security, Xilinx, Simulation, IP core, Versal, Stratix, concept ...

Kemper

Senior Data Engineer

Cincinnati, OH · On-site

$101K - $138K/yr

Architect and oversee the delivery of scalable data pipelines, ingestion frameworks, and transformation processes using Snowflake, Python, Spark, Informatica (PowerCenter/IDMC), AWS Glue, and cloud ...

Danaher

Software Engineer Internships

Covington, KY

Writing and debugging code in languages such as C#, Java, Python, or C++ * Participating on an Agile Scrum team, collaborating across design, development, and testing * Supporting the development of ...

SmartIPlace

QA/SDET (Azure Databricks)

Cincinnati, OH · On-site

$55 - $60/hr

Proficiency in Spark/Python scripting and Azure cloud tools. * Excellent communication skills to convey testing strategies and results to technical and non-technical stakeholders. Additional Details:

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$13

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How much do python jobs pay per hour?

As of Jun 20, 2026, the average hourly pay for python in Florence, KY is $58.18, according to ZipRecruiter salary data. Most workers in this role earn between $47.93 and $66.11 per hour, depending on experience, location, and employer.

What jobs can I do with just Python?

With Python skills, you can pursue roles such as Python developer, data analyst, automation engineer, or backend programmer. These jobs often require knowledge of libraries like pandas, Django, or Flask, and may involve working in environments that emphasize scripting, data processing, or web development.

What are some common challenges Python developers face when working on large-scale projects?

Python developers often encounter challenges such as managing dependencies, ensuring code scalability, and maintaining performance on large-scale projects. Collaboration with cross-functional teams can add complexity, especially when integrating with systems written in other languages. Adopting best practices like modular code structure, thorough documentation, and automated testing can help mitigate these challenges and streamline teamwork.

What jobs can I get in Python?

Python is used in a variety of roles including software developer, data analyst, data scientist, machine learning engineer, web developer, automation engineer, and cybersecurity analyst. These jobs often require knowledge of frameworks like Django or Flask, data analysis libraries such as Pandas, and proficiency in scripting and problem-solving. Python skills are valuable across industries like technology, finance, healthcare, and research.

What is the difference between Python developer vs Java developer?

AspectPython DeveloperJava Developer
Required CredentialsBachelor's in CS or related field, Python certifications (optional)Bachelor's in CS or related field, Java certifications (optional)
Work EnvironmentWeb development, data science, automationEnterprise applications, Android development, backend systems
Industry UsageTech startups, data analysis firms, automation companiesFinancial services, large enterprise software, mobile app companies

Python developers focus on scripting, data analysis, and web development, often working in startups or data-driven fields. Java developers typically work on large-scale enterprise applications and Android apps. While both roles require programming skills and similar educational backgrounds, their industry applications and project types differ significantly.

What is a Python developer?

A Python developer is a software programmer who specializes in writing, testing, and maintaining code using the Python programming language. They can work on a variety of projects, including web development, data analysis, machine learning, automation, and scripting. Python developers often collaborate with other team members to design solutions and ensure the functionality and performance of applications. Their responsibilities may also include debugging programs, integrating third-party services, and writing documentation.

What jobs in the US pay 300,000 a year?

In the US, high-paying roles for Python developers typically include senior software engineers, data scientists, machine learning engineers, and technical leads, especially in finance, technology, and consulting firms. These positions often require advanced skills, extensive experience, and sometimes specialized certifications, with salaries reaching or exceeding $300,000 annually in competitive markets.

What are the key skills and qualifications needed to thrive as a Python Developer, and why are they important?

To thrive as a Python Developer, you need strong programming skills in Python, knowledge of software development principles, and typically a degree in computer science or related fields. Familiarity with frameworks like Django or Flask, version control systems such as Git, and experience with databases are highly valued, along with certifications like PCEP or PCAP. Effective problem-solving, communication, and teamwork are essential soft skills to excel in collaborative and dynamic environments. These skills collectively ensure the delivery of robust, maintainable code and efficient project outcomes in technology-driven organizations.

What Is Python?

Python is a programming language used to write or develop a variety of programs and applications. The software developer community uses Python for programming because it is a simple language that is easy to test and debug. Large internet companies such as Facebook, Google, Reddit, and Amazon use Python, and so do government agencies such as NASA. Programmer professionals have used Python to help build popular software such as Autodesk Maya and other visual design applications. Financial professionals and stock traders use Python when scripting algorithms for economic predictions or computerized trading.

More about Python jobs
What are the most commonly searched types of Python jobs in Florence, KY? The most popular types of Python jobs in Florence, KY are:
What cities near Florence, KY are hiring for Python jobs? Cities near Florence, KY with the most Python job openings:
Python jobs near you
Infographic showing various Python job openings in Florence, KY as of June 2026, with employment types broken down into 94% Full Time, and 6% Contract. Highlights an 88% In-person, and 12% Hybrid job distribution, with an average salary of $121,013 per year, or $58.2 per hour.
Lead Data Engineer

Lead Data Engineer

VTal Technology Solutions

Cincinnati, OH

$98K - $129K/yr

Other

Posted 24 days ago

Job description

Lead Data Engineer

Seeking a Lead Data Engineer for a long term contract role with a leading US retail company. This is an onsite position based in Cincinnati, OH. The team is seeking a Lead Data Engineer experienced in implementing modern data solutions in Azure, with strong hands-on skills in Databricks, Spark, Python, and cloud-based DataOps practices. The Data Engineer will analyze, design, and develop data products, pipelines, and information architecture deliverables, focusing on data as an enterprise asset. This role also supports cloud infrastructure automation and CI/CD using Terraform, GitHub, and GitHub Actions to deliver scalable, reliable, and secure data solutions.

Requirements

• 5+ years of experience as a Data Engineer • Hands-on experience with Azure Databricks, Spark, and Python • Experience with Delta Live Tables (DLT) or Databricks SQL • Strong SQL and database background • Experience with Azure Functions, messaging services, or orchestration tools • Familiarity with data governance, lineage, or cataloging tools (e.g., Purview, Unity Catalog) • Experience monitoring and optimizing Databricks clusters or workflows • Experience working with Azure cloud data services and understanding how they integrate with Databricks and enterprise data platforms • Experience with Terraform for cloud infrastructure provisioning • Experience with GitHub and GitHub Actions for version control and CI/CD automation • Strong understanding of distributed computing concepts (partitions, joins, shuffles, cluster behavior) • Familiarity with SDLC and modern engineering practices • Ability to balance multiple priorities, work independently, and stay organized

Key Responsibilities

• Analyze, design, and develop enterprise data solutions with a focus on Azure, Databricks, Spark, Python, and SQL • Develop, optimize, and maintain Spark/PySpark data pipelines, including managing performance issues such as data skew, partitioning, caching, and shuffle optimization • Build and support Delta Lake tables and data models for analytical and operational use cases • Apply reusable design patterns, data standards, and architecture guidelines across the enterprise, including collaboration with 84.51° when needed • Use Terraform to provision and manage cloud and Databricks resources, supporting Infrastructure as Code (IaC) practices • Implement and maintain CI/CD workflows using GitHub and GitHub Actions for source control, testing, and pipeline deployment • Manage Git-based workflows for Databricks notebooks, jobs, and data engineering artifacts • Troubleshoot failures and improve reliability across Databricks jobs, clusters, and data pipelines • Apply cloud computing skills to deploy fixes, upgrades, and enhancements in Azure environments • Work closely with engineering teams to enhance tools, systems, development processes, and data security • Participate in the development and communication of data strategy, standards, and roadmaps • Draft architectural diagrams, interface specifications, and other design documents • Promote the reuse of data assets and contribute to enterprise data catalog practices • Deliver timely and effective support and communication to stakeholders and end users • Mentor team members on data engineering principles, best practices, and emerging technologies

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About VTal Technology Solutions

Sourced by ZipRecruiter

VTal Technology Solutions is a wholly Minority & Women Owned IT services company We create Value for our stakeholders by providing Talent solutions that help our clients implement their business strategies, in the engagement model that works best for them We believe people are core to the success of any business, and our efforts are guided by the trust our clients place in us when they partner with us for their talent needs We listen to our clients and learn from feedback to deliver talent solutions faster and more accurately Our company is headquartered in Atlanta, GA, with presence in the US and India

Industry

It services

Company size

11 - 50 Employees

Headquarters location

Lanham, MD, US

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