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Matplotlib Jobs in San Francisco, CA (NOW HIRING)

Info Way Solutions

Job Role : Data Engineer

Fremont, CA · On-site

$125K - $151K/yr

... Matplotlib and ggplot2 • Experience with cloud services such as : Azure/AWS Cloud, Databricks, Azure HD Insights, ADF or similar • Advanced working SQL knowledge and experience working with ...

Info Way Solutions

Data Science

Fremont, CA · On-site

... MatplotLib, Seaborn, geopy, NLTK and R libraries like ggplot2, dplyr, Lattice, Highcharter etc. • Experience with cloud services such as : Azure Cloud, Databricks, Azure HD Insights, ADF or similar ...

1872 Consulting

Senior ML Engineer

San Francisco, CA · On-site

$123K - $169K/yr

... learn, matplotlib, tensorflow, keras, pytorch. Preferred : • Experience with reinforcement learning, model-based planning, and/or control theory is a plus. Company : 1872 Consulting is a ...

Info Way Solutions

Big Data Engineer || 2 clients

Fremont, CA · On-site

$61.25 - $81/hr

... Matplotlib and ggplot2 • Experience with cloud services such as : Azure/AWS Cloud, Databricks, Azure HD Insights, ADF or similar • Advanced working SQL knowledge and experience working with ...

Poesis

Quantitative Developer

San Francisco, CA · On-site

$180K - $280K/yr

Strong Python skills (pandas, numpy, scipy, matplotlib); comfort with SQL. * Skill working with Claude Code, Codex, or other coding agents. * Proficiency working with real-world financial datasets ...

Umba

Machine Learning Lead

San Francisco, CA · On-site

Experience with data visualisation tools, such as D3.js, GGplot, Matplotlib etc. * Experience with relational databases such as Postgres, MySQL etc. * Proficiency in using query languages such as SQL

Abbott

Decision Support Tools Engineer

Alameda, CA · On-site

Demonstrated experience building data visualizations (Matplotlib, Plotly, Streamlit, or equivalent). * Familiarity with version control (Git/GitHub) and collaborative development workflows. * Comfort ...

IBM

Senior Forward Deployed Engineer

San Francisco, CA · On-site

$123K - $169K/yr

Guide the optimization of AI systems, ensuring effective usage of libraries such as SciKit Learn, Pandas, and Matplotlib, and familiarity with cloud platforms and related services. Required education ...

New

Walmart

(USA) Staff, Data Scientist

San Mateo, CA · On-site

$143K - $286K/yr

Proficiency in Python programming and data visualization tools such as Matplotlib, Plotly, or Tableau. * Strong knowledge of data engineering, data pipelines, and MLOps for scalable model deployment.

Walmart

(USA) Staff, Data Scientist

San Mateo, CA · On-site

$143K - $286K/yr

Strong programming skills in Python and experience with data visualization tools such as Matplotlib, Plotly, Tableau, or Power BI. * Hands-on experience designing, training, and deploying machine ...

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All JobsMatplotlib JobsMatplotlib Jobs in San Francisco, CA

Matplotlib information

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How much do matplotlib jobs pay per hour?

As of Aug 31, 2026, the average hourly pay for matplotlib in San Francisco, CA is $62.89, according to ZipRecruiter salary data. Most workers in this role earn between $55.53 and $71.35 per hour, depending on experience, location, and employer.

What is the difference between Matplotlib vs Seaborn?

AspectMatplotlibSeaborn
Primary UseData visualization library for creating static, animated, and interactive plotsBuilt on top of Matplotlib for statistical data visualization
Ease of UseRequires more detailed coding; flexible but complexSimplifies complex visualizations with high-level functions
CustomizationHighly customizable with extensive optionsLess customizable but offers attractive default styles
Learning CurveSteeper for beginnersGentler for users familiar with Matplotlib

Matplotlib is a versatile library for creating detailed plots, while Seaborn builds on it to provide easier, aesthetically pleasing statistical visualizations. Users often start with Matplotlib for flexibility and switch to Seaborn for quick, attractive charts.

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

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

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

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

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

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

Matplotlib jobs near you
Infographic showing various Matplotlib job openings in San Francisco, CA as of August 2026, with employment types broken down into 49% Full Time, and 51% Part Time. Highlights an 100% In-person job distribution, with an average salary of $130,808 per year, or $62.9 per hour.

Job Role : Data Engineer

Info Way Solutions

Fremont, CA • On-site

$125K - $151K/yr

Full-time

Posted 24 days ago

Job description

Job Summary:
Info Way Solutions is seeking a Data Engineer to support their client with a long-term contract opportunity. The role involves data extraction, statistical modeling, and building data pipelines using big data technologies and cloud services.
Responsibilities:
• Experience with Statistical Modelling, Data Extraction, Data cleaning, Data screening, Data Exploration and Data Visualization of structured and unstructured datasets
• Skilled in Big Data Technologies like Spark, Spark SQL, PySpark, HDFS (Hadoop), MapReduce
• Excellent exposure to Data Visualization with Tableau, PowerBI, Seaborn, Matplotlib and ggplot2
• Experience with cloud services such as : Azure/AWS Cloud, Databricks, Azure HD Insights, ADF or similar
• Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
• Experience building and optimizing 'big data' data pipelines, architectures and data sets.
• Strong analytic skills related to working with unstructured datasets.
• Working knowledge of highly scalable 'big data' data stores.
• A successful history of manipulating, processing and extracting value from large disconnected datasets.
• Build processes supporting data transformation, data structures, metadata, dependency and workload management.
• Experience developing enterprise software products
• Experience with at least one of these object-oriented/object function scripting languages: Python, Scala, Java, C++, etc.
• Experience supporting and working with cross-functional teams in a dynamic environment
• Experience working in an AGILE environment
Qualifications:
Required:
• Experience with Statistical Modelling, Data Extraction, Data cleaning, Data screening, Data Exploration and Data Visualization of structured and unstructured datasets
• Skilled in Big Data Technologies like Spark, Spark SQL, PySpark, HDFS (Hadoop), MapReduce
• Excellent exposure to Data Visualization with Tableau, PowerBI, Seaborn, Matplotlib and ggplot2
• Experience with cloud services such as : Azure/AWS Cloud, Databricks, Azure HD Insights, ADF or similar
• Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases
• Experience building and optimizing 'big data' data pipelines, architectures and data sets
• Strong analytic skills related to working with unstructured datasets
• Working knowledge of highly scalable 'big data' data stores
• A successful history of manipulating, processing and extracting value from large disconnected datasets
• Build processes supporting data transformation, data structures, metadata, dependency and workload management
• Experience developing enterprise software products
• Experience with at least one of these object-oriented/object function scripting languages: Python, Scala, Java, C++, etc.
• Experience supporting and working with cross-functional teams in a dynamic environment
• Experience working in an AGILE environment
Company:
Founded and incorporated in 2012 , Info Way Solutions is an IT services and consulting company headquartered in Fremont , CA. Founded in 2012, the company is headquartered in Fremont, USA, with a team of 501-1000 employees. The company is currently Late Stage.

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