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Senior Python Developer Jobs in West Virginia (NOW HIRING)

Sr. Data Engineer

Charleston, WV · On-site +1

$106K - $127K/yr

OneOncology is seeking a strong Sr.Data Engineer for a full-time role based in Austin, TX, ... Python or a similar object-oriented language. * Proficient in Databricks, Spark, and Delta tables ...

We are seeking a highly skilled and experienced Senior Dev/Systems Engineer to join our team at ... DevOps, or SRE role. * Strong proficiency in at least one major programming language (e.g., Python ...

Analytics Engineer

WV · On-site +1

$127K - $172K/yr

Yes The Senior Analytics Engineer provides advanced analytics and data engineering support across ... Design, build, and maintain automated, scalable ETL/ELT data pipelines using Python, SQL, and cloud ...

WV · On-site

... on senior programmer with expertise in analysis, architecture, development, and debugging ... Python Experience with continuous integration and deployment tools such as ADO and Jenkins ...

Job Summary Swift is seeking a highly skilled and experienced Senior Automation Engineer to design ... Strong proficiency in scripting languages relevant to test automation (e.g., Python). * In-depth ...

Sr Analytics Architect

Charleston, WV · On-site

$62.25 - $83.25/hr

Strong Python programming skills for automation, scripting, API integration, and data engineering tasks are required. * Solid grasp of analytics and data visualization platforms (e.g., Tableau, Power ...

D Engineering and Consulting team. This remote role is ideal for senior-level professionals with ... Familiarity with scripting and automation in Python, MATLAB, or similar languages * Background in ...

Showing results 41-60

Senior Python Developer information

See West Virginia salary details

$42.6K

$109.9K

$151K

How much do senior python developer jobs pay per year?

As of Sep 14, 2026, the average yearly pay for senior python developer in West Virginia is $109,913.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,100.00 and $126,600.00 per year, depending on experience, location, and employer.

What are the main responsibilities of a senior Python developer?

A Senior Python Developer is responsible for designing, developing, and maintaining complex software applications using the Python programming language. They lead the technical aspects of projects, mentor junior developers, and ensure code quality through code reviews and best practices. Additionally, they collaborate with cross-functional teams to gather requirements, solve technical challenges, and deploy scalable and efficient solutions. Senior Python Developers are also expected to stay updated with the latest trends and advancements in Python and related technologies.

What are the key skills and qualifications needed to thrive as a senior Python developer?

To thrive as a Senior Python Developer, you need advanced proficiency in Python programming, experience with software architecture, and a solid understanding of algorithms and data structures, usually backed by a degree in computer science or related fields. Familiarity with frameworks like Django or Flask, version control systems such as Git, and containerization tools like Docker are typically required, alongside knowledge of modern CI/CD pipelines. Strong problem-solving abilities, effective communication, and leadership skills help you collaborate with teams and mentor junior developers. Mastery of these skills ensures the delivery of scalable, maintainable software solutions and the ability to drive technical excellence within development teams.

What are some common challenges faced by senior Python developers when leading a development team?

Senior Python Developers often encounter challenges such as balancing hands-on coding with mentoring junior team members and ensuring code quality across the team. They are also responsible for making architectural decisions, which requires staying updated on best practices and emerging Python frameworks. Additionally, coordinating collaboration between cross-functional teams (like DevOps, QA, and front-end developers) can be complex, especially in agile environments where requirements may shift rapidly. Overcoming these challenges helps foster a productive and innovative team culture.

What is the difference between Senior Python Developer vs Python Developer?

AspectSenior Python DeveloperPython Developer
Required ExperienceTypically 5+ years, with leadership and complex project experienceUsually 1-3 years, focusing on core Python skills
ResponsibilitiesDesigning architecture, mentoring, handling complex systemsWriting code, debugging, implementing features
CertificationsOptional but beneficial (e.g., Python certifications, cloud certs)Often not required
Work EnvironmentCollaborative teams, project planning, code reviewsDevelopment-focused, task-oriented

The main difference between a Senior Python Developer and a Python Developer lies in experience, responsibilities, and leadership. Senior developers handle complex projects, mentor others, and often participate in architecture decisions, while Python Developers focus on coding and feature implementation. Both roles are essential in tech companies, but the senior role requires more experience and broader skills.

Are senior Python developers still in demand?

Senior Python developers remain in high demand due to the language's versatility in web development, data analysis, machine learning, and automation. Companies seek experienced developers with skills in frameworks like Django or Flask, and proficiency in cloud platforms and APIs enhances job prospects.

How much does a senior Python developer make?

A senior Python developer typically earns between $100,000 and $150,000 annually, depending on experience, location, and industry. They often possess strong skills in frameworks like Django or Flask and may hold certifications or advanced degrees that influence salary levels.

What does a senior Python developer do?

A senior Python developer designs, develops, and maintains complex software applications using Python. They often lead projects, review code, optimize performance, and collaborate with cross-functional teams, requiring strong problem-solving skills and knowledge of frameworks like Django or Flask. Additionally, they may mentor junior developers and ensure code quality through testing and best practices.

What are the most commonly searched types of Python Developer jobs in West Virginia?

The most popular types of Python Developer jobs in West Virginia are:

What are popular job titles related to Senior Python Developer jobs in West Virginia?

For Senior Python Developer jobs in West Virginia, the most frequently searched job titles are:

What job categories do people searching Senior Python Developer jobs in West Virginia look for?

The top searched job categories for Senior Python Developer jobs in West Virginia are:

What cities in West Virginia are hiring for Senior Python Developer jobs?

Cities in West Virginia with the most Senior Python Developer job openings:

What are popular job titles related to Senior Python Developer jobs in WV?

For Senior Python Developer jobs in WV, the most frequently searched job titles are:

Infographic showing various Senior Python Developer job openings in West Virginia as of August 2026, with employment types broken down into 1% Internship, 84% Full Time, 10% Part Time, and 5% Contract. Highlights an 76% Physical, 7% Hybrid, and 17% Remote job distribution, with an average salary of $109,913 per year, or $52.8 per hour.

Sr. Data Engineer

Charleston, WV • On-site, Remote

OneOncology
Health Care and Social Assistance • 1 - 5K employees

$106K - $127K/yr

Full-time

Posted 17 days ago


OneOncology rating

7.9

Company rating: 7.9 out of 10

Based on 18 frontline employees who took The Breakroom Quiz


Job description

OneOncology is positioning community oncologists to drive the future of medical care through a patient-centric, physician-driven, and technology-powered model to help improve the lives of everyone living with cancer and other diseases. Our team is bringing together leaders to the market place to help drive OneOncology's mission and vision.

Why join us? This is an exciting time to join OneOncology. Our values-driven culture reflects our startup enthusiasm supported by industry leaders in oncology, urology, technology, and finance. We are looking for talented and highly-motivated individuals who demonstrate a natural desire to improve and build new processes that support the meaningful work of independent physicians and the patients they serve.

Job Description:

OneOncology is seeking a strong Sr.Data Engineer for a full-time role based in Austin, TX, Nashville, TN, or remote. Our development team is a small group and the person filling this role will be an integral part of it. All team members are individually motivated, yet collaborative. We maintain a high degree of accountability, are extremely productive and believe in enjoying our time at work.

The ideal candidate is a hands-on platform builder with extensive experience in developing scalable software and data platforms. The Sr. Data Engineer engages directly with IT management, development teams, technical delivery teams, and vendors to ensure the successful design, development, and delivery of technology-based solutions. They thrive in an agile environment, demonstrate strong initiative, and communicate effectively across teams.

Responsibilities:

  • Design & implement robust, componentized, and scalable data processes to that enhance and expand our business intelligence platform

  • Rapidly gain proficiency with big data and cloud technologies, leveraging them to build, optimize, and analyze large-scale data solutions.

  • Translate complex business requirements into clear technical deliverables, proactively identifying dependencies, risks and potential roadblocks.

  • Deliver high-quality, maintainable code efficiently, following best practices for version control, testing and deployment.

  • Collaborate with stakeholders to gather requirements, assess technical needs, and design solutions aligned with business objectives.

  • Continuously identify & implement improvements to optimize data pipelines, system performance & overall process efficiency.

  • Mentor and teach team members on modern data engineering concepts, industry standards, and internal best practices.

  • Demonstrate adaptability in a dynamic environment, effectively prioritizing work as requirements and priorities evolve.

  • Troubleshoot and resolve complex issues, maintaining system stability and minimizing disruptions to operations.

  • Take ownership of code, architecture, and documentation, communicating implementation details clearly to technical and non-technical audiences.

  • Document processes

  • Stay current with emerging technologies and industry standards, applying best practices in healthcare data engineering & development.

  • Additionalresponsibilitiesasassigned to help drive our mission of improving the lives of everyone living with cancer.

RequiredQualifications:

  • 8+ years of hands-on experience with SQL development.

  • 8+ years of experience working with relational and non-relational databases, with a strong foundation in data modeling, schema design, and query optimization.

  • 5+ years of professional experience developing scalable solutions using Python or a similar object-oriented language.

  • Proficient in Databricks, Spark, and Delta tables; experience with large-scale distributed data processing preferred.

  • Solid understanding of Lakehouse and Medallion architectures.

  • Experience designing Data Integration/ETL pipelines using Azure Data Factory or equivalent.

  • Extensive experience deploying and managing solutions in cloud environments (preferably Microsoft Azure), including monitoring, cost optimization, and data security.

  • Strong understanding of Object-Oriented Design (OOD) principles and software engineering best practices.

  • Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field; or equivalent work experience.

EssentialCompetencies:

  • Demonstrated ability to design and implement scalable, reliable data ecosystems.

  • Demonstrated expertise in building and maintaining robust, automated data pipelines.

  • Skilled in implementing instrumentation, logging, and alerting strategies to ensure data reliability and observability.

  • Proactive and analytical problem-solving skills with the ability to troubleshoot and optimize complex data workflows.

  • Attendance is an essential job function.


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