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Python Programming Jobs in Santa Barbara, CA (NOW HIRING)

Role: Network Engineer Location: Ventura, California (4 days onsite) Let's create our future ... Familiarity with automation tools (Ansible, Python, etc.) a plus. * Excellent troubleshooting ...

Senior Radar Systems Engineer

Santa Barbara, CA · On-site +1

$116K - $159K/yr

Proven experience in machine learning. * 10+ years experience with Python's scientific stack: Numpy, Scipy, and Numba. * Excited to share knowledge and experience across the engineering team.

Toyon is seeking highly qualified AI/ML Software Engineer candidates to develop software in the Python or C++ languages in support of Artificial Intelligence (AI) / Machine Learning (ML) applications.

Test Engineer

Santa Barbara, CA · On-site

$96K - $128K/yr

Minimum of a Bachelor's Degree in Electrical Engineering and 5+ years of related experience in ... Working proficiency in C#, Visual Basic, Python, MATLAB * Experience with ATE, especially with ...

Showing results 41-60

Python Programming information

See Santa Barbara, CA salary details

$14

$65

$96

How much do python programming jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for python programming in Santa Barbara, CA is $65.23, according to ZipRecruiter salary data. Most workers in this role earn between $53.75 and $74.09 per hour, depending on experience, location, and employer.

What is Python programming?

Python programming refers to writing code in the Python language, a versatile and high-level programming language known for its readability and simplicity. Python is widely used for web development, data analysis, artificial intelligence, scientific computing, and automation. Its large standard library and active community make it a popular choice for both beginners and experienced developers. Python supports multiple programming paradigms, including procedural, object-oriented, and functional programming. Because of its simple syntax and vast ecosystem, Python is a great starting point for anyone looking to learn programming or develop complex applications.

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

To thrive as a Python Programmer, you need strong proficiency in Python programming, knowledge of data structures and algorithms, and often a degree in computer science or a related field. Familiarity with popular libraries like Pandas, NumPy, and frameworks such as Django or Flask, along with experience using version control systems like Git, is typically required. Problem-solving ability, attention to detail, and effective communication are crucial soft skills that set top programmers apart. These competencies ensure efficient code development, successful collaboration, and the delivery of robust software solutions.

What are some common challenges python programmers face when working on collaborative projects?

Python programmers often encounter challenges like maintaining code consistency, managing dependencies, and merging code changes when working with a team. Adhering to coding standards (such as PEP 8) and using tools like version control systems (e.g., Git) are crucial to streamline collaboration. Regular code reviews and clear documentation also help prevent misunderstandings and ensure smooth integration of each team member's contributions.

What is the difference between Python Programming vs Data Analyst?

AspectPython ProgrammingData Analyst
Required SkillsProficiency in Python, scripting, algorithmsData interpretation, Excel, SQL, basic Python
Work EnvironmentSoftware development, coding projectsData analysis, reporting, business insights
Industry UsageTech, finance, automationMarketing, finance, healthcare

Python Programming involves writing code to develop software, automate tasks, and build applications, requiring strong coding skills. Data Analysts focus on interpreting data, creating reports, and providing insights, often using Python as a tool. While Python Programming emphasizes coding expertise, Data Analysts combine analytical skills with some programming knowledge. Both roles often overlap, especially when Data Analysts use Python for data manipulation and analysis.

Is Python programming a good career?

Python programming is a popular and in-demand skill in the tech industry, with applications in web development, data analysis, machine learning, and automation. Careers in Python often offer competitive salaries, opportunities for remote work, and require knowledge of related tools like libraries and frameworks. It is considered a strong choice for those interested in software development and data science roles.

Is there a demand for Python programmers?

Python programming is in high demand across various industries such as technology, finance, and data science. Employers seek Python developers for roles involving web development, automation, machine learning, and data analysis, often requiring knowledge of frameworks like Django or libraries such as Pandas. The job market for Python programmers remains strong due to its versatility and widespread use in emerging technologies.

What jobs can I do with just Python programming?

With Python programming skills, you can pursue roles such as Python developer, data analyst, automation engineer, or backend web developer. These jobs often require knowledge of frameworks like Django or Flask, and familiarity with databases and version control systems.
Infographic showing various Python Programming job openings in Santa Barbara, CA as of August 2026, with employment types broken down into 1% Internship, 75% Full Time, 20% Part Time, 3% Contract, and 1% Nights. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution, with an average salary of $135,672 per year, or $65.2 per hour.

Network Engineer

The AES Group

Ventura, CA • On-site

Contractor

Re-posted 3 days ago


Job description

Role: Network Engineer
Location:
 Ventura, California (4 days onsite)

Let’s create our future together at The AES Group!

About The AES Group:

The AES Group is a premier technology and engineering consulting company that has been bringing businesses and talent together for over 20 years to deliver innovative solutions that have the greatest positive impact on society. AES has helped over 40 business enterprises, including Fortune 500 companies, engage their customers, empower their employees, and transform their business operations with the power of cloud, data, AI, engineering, and other emerging technologies. 

Job Summary:
We are seeking a highly skilled Senior Network Engineer with deep Cisco networking expertise to lead the modernization of our enterprise network. The role will focus on replacing legacy Cisco hardware with Catalyst 9000 series platforms and migrating from Cisco ISE to a Cisco SD-Access architecture. This position requires strong technical leadership, design expertise, and hands-on implementation skills.
Key Responsibilities:

  • Lead the migration from legacy Cisco platforms to Catalyst 9K series switches across campus and data center environments.
  • Design, configure, and deploy Cisco SD-Access to replace existing Cisco Identity Services Engine (ISE) for network access control.
  • Perform detailed network assessments, documentation, and upgrade planning.
  • Configure and optimize core, distribution, and access layer switching using advanced routing and switching protocols (OSPF, BGP, EIGRP, VLANs, VXLAN).
  • Implement automation where possible to streamline configuration and deployment processes.
  • Troubleshoot complex network issues across LAN, WAN, and wireless infrastructure.
  • Collaborate with cross-functional IT teams to ensure minimal disruption during migrations.
  • Maintain compliance with security and operational best practices.

Qualifications:

  • CCNA certification required (CCNP or CCIE is must).
  • Proven experience in enterprise-level Cisco network design, deployment, and migration projects.
  • Hands-on expertise with Cisco Catalyst 9000 series switches, Cisco DNA Center, and SD-Access.
  • Strong understanding of Layer 2 and Layer 3 technologies, VLAN segmentation, and QoS policies.
  • Experience with network security integration and access control policies.
  • Familiarity with automation tools (Ansible, Python, etc.) a plus.
  • Excellent troubleshooting, documentation, and communication skills.

Preferred Experience:

  • Large-scale network refresh or upgrade projects.
  • SDN (Software Defined Networking) design and implementation.
  • Integration with wireless, security, and cloud networking environments.