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

Pddn

Python Data Engineer

San Francisco, CA

$110K - $130K/hr

Must have strong experience in Python Programming. Must have strong experience in SQL. Experience in building and optimizing data pipelines, architectures and data sets. Experience in processing and ...

Swayable

Research Data Scientist

San Francisco, CA · On-site

Required : • Fluency in the python data science stack • Expertise in statistical, analytical, and data science methods • Excellent communication and data visualization skills • Ability to ...

Addison Group

Senior Data Engineer

Emeryville, CA · On-site

$140/day

Strong Python skills, Git-based development, and exposure to CI/CD and modern orchestration tools are strongly preferred. Key Skills: · Azure · Azure Data Factory (ADF) · SQL & Stored Procedures ...

SS&C Technologies

Sr. Data Engineer

San Francisco, CA · On-site

$134K - $162K/yr

Python Proficiency : Expertise in building data ingestion tools using Python, including web scraping and external APIs, and proficient in Python data science packages (numpy, pandas, scikit-learn ...

SS&C

Sr. Data Engineer

San Francisco, CA · On-site

$134K - $162K/yr

Python Proficiency : Expertise in building data ingestion tools using Python, including web scraping and external APIs, and proficient in Python data science packages (numpy, pandas, scikit-learn ...

SS&C Technologies Inc

Sr. Data Engineer

San Francisco, CA · On-site

$134K - $162K/yr

Python Proficiency : Expertise in building data ingestion tools using Python, including web scraping and external APIs, and proficient in Python data science packages (numpy, pandas, scikit-learn ...

Aircall.io, Inc.

Senior Data Scientist

San Francisco, CA · Remote

$170K - $212K/yr

Proficiency in Python * Data-driven, structured and solution oriented with extensive experience in building rigorous experiments * Excellent interpersonal skills and the ability to explain complex ...

360 IT Professionals

Python Developer

San Francisco, CA

$59.25 - $81.50/hr

... data protection - Integration of data storage solutions (may include databases, key-value stores, blob stores, etc.)) Qualifications - Expert in Python, with knowledge of at least one Python web ...

Dlapiper

Data Engineer

San Francisco, CA · On-site

$134K - $162K/yr

Proficiency in SQL and Python. * Data pipeline tooling and cloud data services experience (Azure Data Factory, Azure Databricks, Azure Event Hubs, SSIS). * Data warehousing experience (Azure Synapse ...

Perfict

Python developer

Fremont, CA · On-site

$55.25 - $76/hr

Perfict is a company seeking a Python Developer for a long-term contract position. The role ... data structures, algorithms, object-oriented design) • Strong background in AI/ML with experience ...

Five9

Vice President, Data Science

San Ramon, CA

Ability to work with engineering teams using modern software practices (Python, data platforms, cloud-native environments, APIs, ML Ops tooling). * Understanding of production ML systems, deployment ...

Jobsbridge

Python Engineer

San Francisco, CA

Be it core Java, full-stack Java, Web/UI designers, Big Data or Cloud or Mobility developers/architects, we have them all. - 4+ years of Development experience in Python/Django - Strong object ...

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All JobsPython Data JobsPython Data Jobs in San Francisco, CA

Python Data information

See San Francisco, CA salary details

$15

$69

$101

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.

Python Data Engineer

Pddn

San Francisco, CA

$110K - $130K/hr

Contractor

Re-posted 9 days ago

Job description

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Must have strong experience in Python Programming.

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Must have strong experience in SQL.

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Experience in building and optimizing data pipelines, architectures and data sets.

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Experience in processing and extracting value from large disconnected datasets.

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Build the infrastructure required for optimal extraction, transformation and loading of data from a wide variety of data sources.

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Experience in creating reports and dashboards in Tableau is a big plus.