2

Remote Python Automation Engineer Jobs in Kentucky

Data Engineer (Remote)

Louisville, KY ยท On-site +1

$104K - $125K/yr

Solid programming skills in advanced SQL, Python, or other programming languages for data processing and automation Experience supporting or working with AI/ML workflows, including: * Data ...

Collaborate with data engineering teams on MLOps and automation pipeline development * Document ... Proficiency in Python for scripting, data manipulation, and deploying AI / ML models * Proven ...

Sr. Network Engineer

KY ยท On-site +1

$98K - $134K/yr

Remote, with occasional travel Occasional travel to Revecore locations (Florence KY, Cherry Hill NJ ... Experience with network automation (Python, Ansible, etc.) is a plus. * Familiarity with cloud ...

Expert Security Engineer

Canada, KY ยท Remote

$100K - $120K/yr

US, Canada (Remote) Employment Type: Full-time About Altera Altera, a member of the N. Harris ... Experience with scripting languages (e.g., Python, PowerShell) for automation and custom tool ...

Expert Security Engineer

Canada, KY ยท Remote

$100K - $120K/yr

US, Canada (Remote) Employment Type: Full-time About Altera Altera, a member of the N. Harris ... Experience with scripting languages (e.g., Python, PowerShell) for automation and custom tool ...

... automation projects, including coordinating team members, material, and equipment. Projects are ... This includes both remote and on-site customer support as required. Travel Requirements: * 50-75 ...

next page

Showing results 1-20

Remote Python Automation Engineer information

How does a Remote Python Automation Engineer typically collaborate with cross-functional teams, given the remote work environment?

As a Remote Python Automation Engineer, you'll frequently interact with developers, QA analysts, DevOps teams, and project managers using collaborative tools such as Slack, Jira, and GitHub. Effective communication is crucial for aligning on automation requirements, debugging issues, and deploying solutions. You'll often participate in virtual meetings, code reviews, and sprint planning sessions to ensure your automation scripts integrate seamlessly with broader workflows. Proactive documentation and regular updates help maintain transparency and foster smooth teamwork despite the physical distance.

What is the difference between Remote Python Automation Engineer vs Remote QA Automation Engineer?

AspectRemote Python Automation EngineerRemote QA Automation Engineer
Required CredentialsBachelor's in CS or related, Python proficiency, automation tools knowledgeBachelor's in CS or related, testing frameworks, scripting skills, Python often preferred
Work EnvironmentDevelops automation scripts, collaborates with development teams, uses Python-based toolsDesigns test cases, automates testing processes, uses testing frameworks and scripting
Employer & Industry UsageTech companies, software development, DevOps teamsSoftware companies, QA teams, product testing environments

The main difference is that Remote Python Automation Engineers focus on developing automation solutions using Python to streamline development and deployment processes, while Remote QA Automation Engineers concentrate on automating testing procedures to ensure software quality. Both roles require Python skills but serve different stages of the software lifecycle.

What is a Remote Python Automation Engineer?

A Remote Python Automation Engineer is a software professional who specializes in creating, maintaining, and improving automated processes and workflows using the Python programming language, all while working remotely. Their main responsibilities often include writing scripts to automate repetitive tasks, building test automation frameworks, integrating APIs, and optimizing system operations. They collaborate with teams virtually, making use of tools for version control, communication, and project management. This role requires strong Python skills, familiarity with automation tools like Selenium or PyTest, and the ability to work independently in a remote setting.

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

To thrive as a Remote Python Automation Engineer, you need strong programming skills in Python, expertise in automation frameworks, and a background in computer science or related fields. Familiarity with tools such as Selenium, PyTest, Jenkins, and cloud platforms, along with automation certifications, is often required. Exceptional problem-solving, self-motivation, and effective communication are crucial soft skills for remote collaboration and troubleshooting. These abilities ensure efficient automation solutions, seamless integration with development teams, and successful delivery of high-quality software projects.
What are popular job titles related to Remote Python Automation Engineer jobs in Kentucky? For Remote Python Automation Engineer jobs in Kentucky, the most frequently searched job titles are:
What job categories do people searching Remote Python Automation Engineer jobs in Kentucky look for? The top searched job categories for Remote Python Automation Engineer jobs in Kentucky are:
What cities in Kentucky are hiring for Remote Python Automation Engineer jobs? Cities in Kentucky with the most Remote Python Automation Engineer job openings:
Data Engineer (Remote)

Data Engineer (Remote)

The Phia Group

Louisville, KY โ€ข On-site, Remote

$104K - $125K/yr

Full-time

Posted 24 days ago


Job description

The Phia Group is a service- oriented organization assisting employee health plans nationwide. We provide our clients with innovative cost-cutting solutions and constantly expanding service offerings. We continue to enjoy growth thanks to our most valuable resource - our talented and committed team.
At The Phia Group, whose mission is to provide high quality yet affordable healthcare to American employees and their families, you can look forward to not only unparalleled benefits for yourself but also being immersed in a company that was named one of USA Today's Top Workplaces for 2026. Meanwhile, from a regional perspective, both The Boston Globe and Louisville Business First also recognized our unwavering commitment to upholding an internal culture of inclusivity, enjoyment, and empathy for our valued employees by listing The Phia Group in their respective lists for the Top Places to Work in 2026.
The Data Engineer is responsible for supporting the development, maintenance, and optimization of data pipelines and analytics-ready datasets. You will be collaborating across multiple teams and stakeholders to solve complex problems and support data-driven initiatives.
Essential Duties and responsibilities include the following; other duties may be assigned:
  • Build, maintain, and optimize data pipelines utilizing Azure Data Factory, ensuring data is ingested, transformed, and delivered to Snowflake reliably for analytics
  • Implement monitoring, alerts, and testing of data pipeline performance, data quality metrics, and lineage to ensure trustworthy data delivery
  • Troubleshoot data issues and perform root cause analysis to proactively resolve operational issues
  • Document data structures, processes, architectural decisions, and best practices for knowledge sharing
  • Develop, maintain, and optimize Snowflake objects (schemas, tables, views) and SQL transformations to produce curated, analytics-ready datasets
  • Collaborate with analysts, stakeholders, and product owners to translate business needs into data requirements and stable technical implementations
  • Enable data for AI/ML use cases by preparing feature-rich datasets, supporting feature engineering, and ensuring data consistency for model training and inference
  • Support deployment and operationalization of machine learning models by integrating pipelines with ML workflows (e.g., batch/real-time scoring)
  • Continually improve ongoing reporting and analytics, automating or simplifying self-service or manual processes
  • Implement version control practices for all data engineering code and documentation

Experience and Qualifications
  • Bachelor's degree in Computer Science, Computer Engineering, Information Technology, or a related field; or equivalent experience
  • 5+ years of experience in data engineering or business intelligence roles working with ETL, data modeling, data architecture, and developing pipelines and applications for analytics (e.g., BI, reporting, machine learning, deep learning)
  • Solid programming skills in advanced SQL, Python, or other programming languages for data processing and automation

Experience supporting or working with AI/ML workflows, including:
  • Data preparation and feature engineering for machine learning models
  • Integration of data pipelines with ML frameworks (e.g., scikit-learn, TensorFlow, PyTorch, or similar)
  • Understanding of model lifecycle concepts (training, validation, deployment, monitoring)
  • Expertise working with Snowflake for data warehousing, including experience with schema design, performance tuning, and optimization
  • Proficiency with Git, Azure DevOps, and collaborative development best practices
  • Experience designing, developing, and deploying end-to-end pipelines using Azure Data Factory

Working Conditions / Physical Demands
Sitting at workstation for prolong periods of time. Extensive computer work. Workstation may be exposed to overhead fluorescent lighting and air conditioning. Fast paced work environment. Operates office equipment including personal computer, copiers, and fax machines.
This job description is not intended to be and should not be construed as an all-inclusive list of all the responsibilities, skills or working conditions associated with the position. While it is intended to accurately reflect the position activities and requirements, the company reserves the right to modify, add or remove duties and assign other duties as necessary.
External and internal applicants, as well as position incumbents who become disabled as defined under the Americans with Disabilities Act, must be able to perform the essential job functions (as listed here) either unaided or with the assistance of a reasonable accommodation to be determined by management on a case by case basis.