1

Python Analytics Jobs in Santa Clara, CA (NOW HIRING)

We offer a survey data analysis platform that allows market researchers, analysts, and marketers to ... We are hiring a Python Software Systems Engineer to help develop and deploy our platform. We are ...

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 ...

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 ...

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 ...

Senior GenAI Engineer (Python)

Palo Alto, CA · On-site

$142K - $192K/yr

We are looking for an experienced Python developer with a passion for Generative AI and hands-on ... Analytical mindset with a strong focus on problem-solving. * Comfortable working in a fast-paced ...

Senior GenAI Engineer (Python)

Palo Alto, CA · Hybrid

$142K - $192K/yr

We are looking for an experienced Python developer with a passion for Generative AI and hands-on ... Analytical mindset with a strong focus on problem-solving. * Comfortable working in a fast-paced ...

... Cloud, Analytics (SMAC) and DevOps. USM, a US ensured Minority Business Enterprise (MBE) is ... Hive+Python Engineer Location : Sunnyvale, CA : 8-10 Years of total IT experience with 2-3 years of ...

next page

Showing results 1-20

Python Analytics information

See Santa Clara, CA salary details

$15

$68

$101

How much do python analytics jobs pay per hour?

As of Jul 16, 2026, the average hourly pay for python analytics in Santa Clara, CA is $68.85, according to ZipRecruiter salary data. Most workers in this role earn between $56.73 and $78.22 per hour, depending on experience, location, and employer.

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

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.

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.

Is Python a high paying job?

Python analytics roles are generally well-paid due to the high demand for data analysis, machine learning, and automation skills. Salaries vary based on experience, location, and industry, but professionals with Python expertise often earn above average wages in the tech and finance sectors.

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.

What is the salary for Python data analytics?

The salary for Python data analytics roles typically ranges from $70,000 to $120,000 annually, depending on experience, location, and industry. Professionals with strong skills in data manipulation, machine learning, and tools like Pandas or NumPy tend to earn higher salaries.

What does a Python data analyst do?

A Python data analyst uses Python programming to collect, clean, analyze, and visualize data to support business decision-making. They often work with libraries like pandas, NumPy, and matplotlib, and may also perform statistical analysis or build data models. Strong problem-solving skills and knowledge of data management are essential for this role.

Is Python good for data analytics?

Python is widely used in data analytics roles due to its simplicity, extensive libraries like pandas, NumPy, and scikit-learn, and strong community support. It enables analysts to perform data manipulation, visualization, and machine learning tasks efficiently, making it a valuable skill for data analytics jobs.
What are popular job titles related to Python Analytics jobs in Santa Clara, CA? For Python Analytics jobs in Santa Clara, CA, the most frequently searched job titles are:
What job categories do people searching Python Analytics jobs in Santa Clara, CA look for? The top searched job categories for Python Analytics jobs in Santa Clara, CA are:
What cities near Santa Clara, CA are hiring for Python Analytics jobs? Cities near Santa Clara, CA with the most Python Analytics job openings:
Infographic showing various Python Analytics job openings in Santa Clara, CA as of July 2026, with employment types broken down into 1% Internship, 86% Full Time, 11% Part Time, and 2% Contract. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution, with an average salary of $143,202 per year, or $68.8 per hour.
Python Systems Engineer (Remote)

Python Systems Engineer (Remote)

Crunch

Redwood City, CA • On-site, Remote

Full-time

Re-posted 26 days ago


Job description

Company Description
Crunch.io is an innovative analytics company in the market research industry. We offer a survey data analysis platform that allows market researchers, analysts, and marketers to collaborate in a secure, cloud-based environment, using an intuitive drag-and-drop interface. Crunch users can quickly gain insights from their data and communicate them to their clients.
Job Description
We are hiring a Python Software Systems Engineer to help develop and deploy our platform. We are inviting you to join our small, fully remote team of developers and operators helping make our platform faster, more secure, and more reliable. You would help us deliver new features and build the future for how we deploy our products faster and safer while increasing the availability and reliability of our systems. You will explore different ways of problem solving and discover, explain, and defend your choices in implementation. You will be self-motivated and disciplined in order to work with our fully distributed team.
We are looking for someone who is a quick study, who is eager to learn and grow with us, and who has experience in DevOps or Agile cultures. At Crunch, we believe in learning together: we recognize that we don't have all the answers, and we try to ask each other the right questions. Some of the ways that we accomplish that include paired programming to tackle a hard problem, transparent code reviews, and discussions about design and architecture. Since Crunch's employees are completely distributed, it's crucial that you can work well independently, and keep yourself motivated and focused. We move fast but carefully, with a deep commitment to not breaking things... well, not too much.
Responsibilities:
In addition to typical software engineering and system administration tasks, you will be expected to
  • Contribute to code quality through unit testing, integration testing, code review, and system design using Python
  • Configure and administer production services, and develop and maintain procedures for updating and upgrading these systems without sacrificing availability
  • Develop and and maintain staging, testing, and developer environments that provide a uniform base for developing code that is trusted to work well in production
  • Develop and automate software lifecycle systems to aid in Continuous Integration and Delivery of tested code
  • Participate in on-call rotations (limited to your working hours + the occasional weekend) and assist in diagnosing and fixing system failures quickly when they occur

Qualifications
Required skills:
  • Ability to work independently and communicate clearly
  • A commitment to producing robust, testable code that meets industry standards
  • Strong programming experience using Python or another high level programming language
  • Strong system scripting ability using Python, Bash, or similar
  • Substantial Linux System Administration experience

Nice to have, but not required:
  • Building large-scale or complex multi-tenant web applications
  • Parallelization, code optimization, and Big Data operations
  • System Deployment and/or Configuration Management software (e.g., Ansible, Chef, Puppet, etc.)
  • Continuous Integration tools (e.g., Jenkins, Bamboo, Travis, etc)
  • Monitoring (e.g., Nagios, Datadog, Sentry, Splunk, etc.)
  • Cloud Computing (e.g., AWS, OpenStack, Google Cloud, Azure, etc.)
  • ElasticSearch, Docker, Kubernetes, Mesos

Additional Information
Crunch is a well-funded, remote-first company with a collaborative and open culture. We are passionate about our product and our mission, and value work/life balance, efficiency, simplicity, and fantastic customer service.