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Python Data Jobs in San Francisco, CA (NOW HIRING)

Extractable

Python Integrations Developer

San Francisco, CA · Remote

$51.50 - $71/hr

You'll write Python code to connect systems, debug data flow issues, work directly with vendor documentation and support teams, and coordinate with our clients' IT departments to get integrations ...

Extractable

Python Integrations Developer

San Francisco, CA · Remote

$59.25 - $81.50/hr

You'll write Python code to connect systems, debug data flow issues, work directly with vendor documentation and support teams, and coordinate with our clients' IT departments to get integrations ...

1 point system

Python QA Engineer

Fremont, CA · On-site

Backend validation using SQL for data accuracy * Create & maintain test plans, test cases, test ... Python (mandatory) * Strong OOP language background * SQL (Critical): * Hands‑on SQL skills

Extractable

Python Integrations Developer

San Francisco, CA · Remote

$59.25 - $81.50/hr

You'll write Python code to connect systems, debug data flow issues, work directly with vendor documentation and support teams, and coordinate with our clients' IT departments to get integrations ...

Nitor Infotech

Python Developer

San Francisco, CA

$59.25 - $81.50/hr

Technology Verticals:- o Product Engineering (Microsoft, JAVA and Open Source) o Data Engineering ... Python Developer Location: San Francisco, CA 94103 The hunt is for an Software Developer with the ...

INTELLISWIFT INC

Sr. Python Developer

San Francisco, CA · On-site

$143K - $192K/yr

... it: backend services, real-time dispatch, mobile, web development, data and analytics ... Python, Javascript, PostgreSQL, Node.js, Redis, iOS apps, Android apps. Intelligent. Highly ...

Nitor Infotech

Python Developer

San Francisco, CA · On-site

$59.25 - $81.50/hr

Technology Verticals:- o Product Engineering (Microsoft, JAVA and Open Source) o Data Engineering ... Python Developer Location: San Francisco, CA 94103 The hunt is for an Software Developer with the ...

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Showing results 21-40

All JobsPython Data JobsPython Data Jobs in San Francisco, CA

Python Data information

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$69

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How much do python data jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for python data in San Francisco, CA is $69.07, according to ZipRecruiter salary data. Most workers in this role earn between $56.92 and $78.46 per hour, depending on experience, location, and employer.

What is a Python Data professional?

A Python Data professional is someone who uses the Python programming language to analyze, process, and interpret data. They work with large datasets, perform data cleaning and transformation, and apply statistical or machine learning techniques to extract insights. These professionals often work in roles such as data analyst, data scientist, or data engineer, and use Python libraries like Pandas, NumPy, and scikit-learn to accomplish their tasks.

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

To thrive as a Python Data professional, you need strong programming skills in Python, a solid understanding of data structures, algorithms, and experience with data analysis or data science, typically supported by a relevant degree. Familiarity with technical tools such as pandas, NumPy, SQL, Jupyter Notebooks, and often cloud platforms or machine learning frameworks is important, and certifications like Microsoft or Google Data certifications can be advantageous. Strong analytical thinking, attention to detail, and effective communication help you extract insights from data and collaborate with stakeholders. These skills and qualities are essential to efficiently process, analyze, and interpret data, driving informed business decisions.

What are some common challenges faced by Python Data professionals when working with large datasets?

Python Data professionals often encounter challenges such as optimizing code to handle large volumes of data efficiently and managing memory usage to prevent slowdowns or crashes. Working with big datasets may require leveraging tools like pandas, NumPy, or Dask, and sometimes integrating with distributed computing systems such as Apache Spark. Additionally, ensuring data quality and managing data pipelines for consistent and accurate results can be demanding. Collaborating closely with data engineers, analysts, and other stakeholders is common to ensure smooth data flow and analysis.

What is the difference between Python Data vs Data Analyst?

AspectPython DataData Analyst
Required SkillsPython programming, data manipulation, scriptingExcel, SQL, data visualization
CertificationsPython certifications, data science coursesData analysis certifications, Excel certifications
Work EnvironmentData science teams, programming-heavy rolesBusiness intelligence, reporting teams
Industry UsageTech, finance, healthcareRetail, marketing, finance

Python Data roles focus on programming, data manipulation, and building data pipelines using Python, while Data Analysts primarily analyze data using tools like Excel and SQL to generate reports and insights. Both roles often collaborate but differ in technical depth and tools used.

Are Python coders in demand?

Python developers are in high demand across various industries due to the language's versatility in data analysis, web development, and automation. Employers seek skills in frameworks like Django and data tools such as Pandas, making Python a valuable programming language for job seekers. The demand is expected to grow as data-driven decision-making and automation increase in the workplace.

How much do Python data scientists make?

Python data scientists typically earn a median salary ranging from $90,000 to $130,000 annually, depending on experience, location, and industry. Advanced skills in machine learning, data analysis, and proficiency with tools like Pandas and TensorFlow can lead to higher compensation.

Is Python Data still in demand in 2026?

Python data roles remain in high demand in 2026 due to the language's widespread use in data analysis, machine learning, and automation. Skills in libraries like Pandas, NumPy, and frameworks such as TensorFlow enhance job prospects, and proficiency in data management tools is often required.

What are popular job titles related to Python Data jobs in San Francisco, CA?

For Python Data jobs in San Francisco, CA, the most frequently searched job titles are:

What job categories do people searching Python Data jobs in San Francisco, CA look for?

The top searched job categories for Python Data jobs in San Francisco, CA are:

What cities near San Francisco, CA are hiring for Python Data jobs?

Cities near San Francisco, CA with the most Python Data job openings:

Python Data jobs near you
Infographic showing various Python Data job openings in San Francisco, CA as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $143,658 per year, or $69.1 per hour.

AIA MLEU - FOUNDARY DATA ENGINEER Python PySpark

Avani Technology Solutions, Inc.

San Francisco, CA • On-site

$134K - $162K/yr

Contractor

This job post has expired today. Applications are no longer accepted.

Job description

Job title FOUNDARY DATA ENGINEER Job summary Foundary Data Engineer Experience 8to11yrs Required Skills Technical Skills- Python PySpark Domain Skills- Nice to have skills Techincal Skills- Domain Skills- Technology Data Management Shift Day Roles & Responsibilities - Should have good exposure to work based on Agile Methodology. - Provide support to PG&E Palantir Foundry Application - Build Data Ingestion pipelines by leveraging Python/Spark and Foundry tools sets and libraries - Analyze and trouble shoot Data quality and Data discrepancies in the Source System and provide data profiling results. - Conduct data cleanup address DQ issues for Data Ingestion - Interpret business questions translate in technical requirement and its underlying data requirements. - Effectively Interact with QA and UAT team for code testing and migrate to different regions. - Data Engineer with hands-on experience in PySpark to build data pipes in AWS environments. - Should be able to understand design documents and independently build the Data Pipes based on the defined Source to Target mappings. - The candidate should have good exposure to RDBMS and able to convert complex Stored Procedures SQL Triggers etc. logic using PySpark in the Cloud platform. - The candidate should be open to learn new technologies and implement solutions quickly in the cloud platform. - Any knowledge of the Palantir Foundry Platform will be a big plus. Job Location Primary: USCASASC02-San Francisco (ii)-CA USA CLT Alternate: Job Type 60CW00 Business Associate Demand Requires Travel? No Certification(s) Required N/A
Hours : 8:00am to 5:00pm
Education :
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