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Python Analytics Jobs in California (NOW HIRING)

Python AI

Santa Clara, CA · On-site

$164K - $201K/yr

Automated code reviews and refactoring, Dependency analysis and impact assessment, Regression ... Python/.NET best practices, and AI-assisted development techniques. • Support sprint planning ...

Senior Python Developer

Palo Alto, CA · On-site

$142K - $192K/yr

As a Senior Python Developer, you will lead the design, development, and deployment of scalable ... Analytical mindset with a strong focus on problem-solving. * Comfortable working in a fast-paced ...

Senior Python Developer

Palo Alto, CA · Hybrid

$142K - $192K/yr

As a Senior Python Developer, you will lead the design, development, and deployment of scalable ... Analytical mindset with a strong focus on problem-solving. * Comfortable working in a fast-paced ...

Santa Clara, CA (Onsite) Duration: Full Time and Contract Need profiles with Strong SQL, Tableau & Data Analytics (Instead of Data Analyst), Databricks and AWS and Python 1.    Strong in ...

They are seeking a Sr. Staff Python Engineer to develop software that automates testing and launching rockets, as well as tools for data collection and analysis in the space industry.

Showing results 41-60

Python Analytics information

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

To thrive as a Python Analytics professional, you need a strong background in statistics, data analysis, and proficiency in Python programming, often supported by a degree in computer science, mathematics, or a related field. Familiarity with data analytics libraries (such as pandas, NumPy, and scikit-learn), data visualization tools, and experience with databases are typically required. Strong problem-solving, communication, and critical thinking skills help in interpreting data and conveying insights to stakeholders. These abilities are crucial for turning complex data into actionable business decisions and driving organizational success.

Which Python Analytics job is in demand?

Python Analytics roles such as Data Analyst, Data Scientist, and Business Intelligence Analyst are currently in high demand across various industries. These positions typically require proficiency in Python, data visualization, and statistical analysis, with skills in tools like Pandas, NumPy, and machine learning frameworks increasing employability.

What is the difference between Python Analytics vs Data Analyst?

AspectPython AnalyticsData Analyst
Required SkillsPython programming, data manipulation, statistical analysisExcel, SQL, basic statistics
CertificationsPython certifications, data analysis coursesNone typically required, but certifications like CAP or Microsoft certifications are common
Work EnvironmentData science teams, analytics departments, tech companiesBusiness units, marketing, finance, consulting firms
ToolsPython libraries (Pandas, NumPy, scikit-learn)Excel, SQL, Tableau, Power BI

Python Analytics involves using Python programming to perform advanced data analysis, modeling, and automation, often requiring coding skills. Data Analysts focus on interpreting data using tools like Excel and SQL, providing reports and insights. While both roles analyze data, Python Analytics typically involves more technical and programming expertise, making it suitable for complex data projects and predictive modeling.

What are some typical challenges faced by professionals in Python Analytics roles, and how can I prepare for them?

Professionals in Python Analytics roles often encounter challenges such as handling large and complex datasets, ensuring data quality, and communicating insights effectively to non-technical stakeholders. To prepare, it's beneficial to strengthen your skills in data cleaning, visualization libraries (like Matplotlib or Seaborn), and learn best practices for writing efficient, reproducible code. Collaborating closely with data engineers, business analysts, and decision-makers is also a key part of the job, so developing strong communication and teamwork abilities will help you succeed.

What is a Python Analytics professional?

A Python Analytics professional is someone who uses the Python programming language to collect, process, analyze, and interpret data in order to help organizations make data-driven decisions. They often work with large datasets, perform statistical analyses, create data visualizations, and build predictive models. These professionals may work in industries such as finance, healthcare, marketing, or technology, and typically use libraries like Pandas, NumPy, and Matplotlib. Their work helps businesses gain insights, optimize processes, and solve complex problems through data.

Is Python good for data analytics?

Python is widely used in data analytics roles due to its extensive libraries such as Pandas, NumPy, and Matplotlib, which facilitate data manipulation, analysis, and visualization. Its simplicity and versatility make it a preferred language for data analysts and data scientists, often complemented by skills in SQL and data modeling. Proficiency in Python can enhance job prospects in data analytics positions.
What cities in California are hiring for Python Analytics jobs? Cities in California with the most Python Analytics job openings:
Infographic showing various Python Analytics job openings in California as of July 2026, with employment types broken down into 1% Internship, 91% Full Time, 5% Part Time, 1% Temporary, and 2% Contract. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution.

$164K - $201K/yr

Full-time

Re-posted 20 days ago


Job description

Job Summary:
Echo IT Solutions is seeking an experienced Tech Lead to provide technical leadership and hands-on expertise in designing, modernizing, and delivering high-quality software solutions. The ideal candidate will balance architecture, coding, mentoring, and collaboration while leveraging GenAI tools to enhance productivity and code quality.
Responsibilities:
• Provide technical direction and architectural guidance for new development and modernization initiatives.
• Own end-to-end design decisions, ensuring solutions are scalable, secure, cloud-ready, and aligned with standardized enterprise architectures.
• Lead application tech-stack conversion and standardization efforts, including migration and consolidation across Python and .NET platforms.
• Review and approve architecture designs, code, and technical documentation.
• Identify and drive systemic technical improvements, including reuse, simplification, and platform alignment.
• Actively contribute high-quality, maintainable, and performant code using Python and .NET technologies.
• Leverage GenAI-based developer tools (e.g., Copilot, Cursor, Claude, Windsurf) for: Code generation and refactoring, Test case creation, Documentation and design acceleration, Debugging and optimization.
• Apply prompt engineering best practices to improve accuracy, efficiency, and consistency of GenAI outputs.
• Lead by example in coding standards, testing practices, CI/CD, and DevOps automation.
• Troubleshoot complex technical issues and ensure timely, root-cause-oriented resolutions.
• Design and guide the use of Agentic AI workflows for software development activities such as: Automated code reviews and refactoring, Dependency analysis and impact assessment, Regression detection and test automation, Operational and observability insights.
• Evaluate and recommend Agentic AI frameworks or approaches that improve developer productivity and software quality.
• Ensure Agentic AI solutions are secure, auditable, and aligned with enterprise governance standards.
• Mentor and coach developers on modern application architecture, Python/.NET best practices, and AI-assisted development techniques.
• Support sprint planning, backlog grooming, and Agile ceremonies.
• Partner with product managers, architects, QA, and business stakeholders to translate requirements into technical solutions.
• Estimate development effort and support planning of timelines, milestones, and deliverables.
• Ensure projects are delivered on time, within scope, and in compliance with technical and quality standards.
• Communicate technical trade-offs and risks clearly to both technical and non-technical audiences.
• Enforce best practices in secure coding, scalability, performance optimization, and resilience.
• Drive adoption of automated testing, CI/CD pipelines, infrastructure as code, and observability practices.
• Ensure systems are reliable, maintainable, and production-ready, including AI-assisted components.
Qualifications:
Required:
• Bachelor's degree in Computer Science, Engineering, or a related field.
• 6–12+ years of hands‐on software development experience.
• Proven experience as a Senior Developer or Tech Lead guiding engineering teams.
• Strong hands‐on expertise in Python and .NET application development.
• Experience leading or contributing to application tech‐stack conversion, modernization, and standardization initiatives.
• Strong understanding of: Software architecture and design patterns, Microservices and API design, Cloud platforms (Azure, AWS, or GCP), SQL and NoSQL databases, CI/CD pipelines and DevOps practices.
• Hands‐on experience using GenAI‐based code generation tools (e.g., Copilot, Cursor, Claude, Windsurf).
• Practical experience with prompt engineering and leveraging GenAI for day‐to‐day engineering tasks.
• Exposure to or hands‐on experience with Agentic AI concepts and tools for software development workflows.
• Solid understanding of Agile/Scrum methodologies.
Company:
Echo IT Solutions provides IT consulting, managed services, cloud, cybersecurity, data, and custom software development. Founded in 2021, the company is headquartered in Farmers Branch, USA, with a team of 51-200 employees. The company is currently Growth Stage.