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Python Pandas Jobs in California (NOW HIRING)

Proficiency in Python (pandas, NumPy, Jupyter, PyTorch, etc.). Experience working with large datasets, annotation tools, and model evaluation pipelines Familiarity with evaluations specific to ...

Python + ML

Sunnyvale, CA · On-site

$59 - $81.25/hr

... Python and API's. • Excellent expertise in AI/ML Technologies • Excellent expertise ... in Numpy, Pandas, SciPy • Excellent expertise in Tensor Flow, PyTorch • Experience in ...

Big Data Engineer

Mountain View, CA

$65.75 - $87/hr

Minimum 1+ years of experience in Python, Pandas and SQL Strong knowledge of Database concepts and Python. Expert on SQL skills for data manipulation (DML) and validation (SQL Server, DB2, Oracle)

Proficiency in Python (pandas, NumPy, Jupyter, PyTorch, etc.). Experience working with large datasets, annotation tools, and model evaluation pipelines Familiarity with evaluations specific to ...

Big Data Engineer

Mountain View, CA · On-site

$65.75 - $87/hr

... Python, Pandas and SQL • Strong knowledge of Database concepts and Python. • Expert on SQL skills for data manipulation (DML) and validation (SQL Server, DB2, Oracle). • Expertise in Object ...

... Python (pandas, scikit-learn, PyTorch or TensorFlow); proficient in SQL. • Demonstrated track record of shipping models into production, not just producing analysis. • Experience with embedding ...

... Pandas proficient in regular expressions and data cleanup and clensing of high volume data Following skills are a big plus: Experience in building and running python modules in spark environment good ...

Customer Data Specialist

San Mateo, CA · On-site

$19.50 - $25.75/hr

... with Python (pandas, numpy, matplotlib) is a plus • Excellent written and verbal communication, and proven ability to collaborate cross-functionally • Self-motivated and organized, with the ...

Customer Data Specialist

San Mateo, CA · On-site

$19.50 - $25.75/hr

... with Python (pandas, numpy, matplotlib) is a plus • Excellent written and verbal communication, and proven ability to collaborate cross-functionally • Self-motivated and organized, with the ...

Strong programming skills in Python (pandas, numpy, scikit‑learn). * Experience working with large-scale data processing . Solid understanding of machine learning algorithms and statistical ...

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Python Pandas information

See California salary details

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How much do python pandas jobs pay per hour?

As of Jul 28, 2026, the average hourly pay for python pandas in California is $57.85, according to ZipRecruiter salary data. Most workers in this role earn between $47.69 and $65.72 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Python Pandas position, and why are they important?

To thrive in a Python Pandas role, you need strong expertise in Python programming, data manipulation, and analysis, often supported by a degree in computer science, mathematics, or a related field. Familiarity with tools like Jupyter Notebook, SQL databases, and data visualization libraries, as well as certifications in data analytics or Python, are common. Excellent problem-solving skills, attention to detail, and the ability to communicate findings clearly make candidates stand out. These skills ensure you can efficiently handle complex datasets, derive actionable insights, and effectively collaborate with data teams.

What is a Python Pandas job?

A Python Pandas job involves working with the Pandas library to manipulate, analyze, and visualize data efficiently. Professionals in these roles typically clean and preprocess datasets, perform exploratory data analysis (EDA), and generate insights for decision-making. They are commonly found in data science, analytics, and engineering fields, often working with big data, automation, or business intelligence tools. Strong knowledge of Python, SQL, and data visualization libraries like Matplotlib or Seaborn may also be required.

What are the main responsibilities for professionals working with Python Pandas in a data-driven role?

Professionals specializing in Python Pandas are typically responsible for cleaning, transforming, and analyzing large datasets to support business decisions. They collaborate closely with data scientists, analysts, and stakeholders to create data models, generate reports, and provide insights that guide strategy. Daily tasks may include scripting data pipelines, troubleshooting data issues, and presenting findings in an accessible format. This role often provides opportunities for growth into senior analyst, data engineering, or data science positions, especially as you gain experience in advanced analytics or machine learning applications.

What are the most commonly searched types of Python Pandas jobs in California? The most popular types of Python Pandas jobs in California are:
What cities in California are hiring for Python Pandas jobs? Cities in California with the most Python Pandas job openings:
Infographic showing various Python Pandas job openings in California as of July 2026, with employment types broken down into 11% Internship, 64% Full Time, and 25% Contract. Highlights an 85% In-person, and 15% Remote job distribution, with an average salary of $120,336 per year, or $57.9 per hour.
Python SDET :: Local Only -Irvine, CA/ Raleigh, NC

Python SDET :: Local Only -Irvine, CA/ Raleigh, NC

Nityo Infotech

Irvine, CA • On-site

$54 - $74.25/hr

Contractor

Posted 22 hours ago


Job description

Role: Python SDET – (ETL/Data Testing)
Location: Irvine, CA (Hybrid – 3 days onsite, Local Only)
Client: Infosys 

Job Description:
We are looking for a Python SDET with strong hands-on experience in ETL testing and automation. The candidate will extract data from AWS (S3/CodeBuild), validate and transform using Python (Pandas, PySpark), and build automated test cases with Pytest. The role requires strong coding, data validation, and automation skills.

Must Have Skills:

  • Strong Python coding (logic building, data handling)
  • Pandas & PySparkread/transform/write large datasets (Excel/CSV/Parquet)
  • ETL testing & data validation (row counts, schema checks, transformations)
  • AWS (S3, CodeBuild) for data pipelines
  • Pytest framework (automation, reporting with Allure preferred)
  • SQL/PostgreSQL for backend validation
  • API testing (Python requests/Postman)

Nice to Have:

  • UI automation (Selenium/Cypress)
  • Workflow orchestration (Airflow, DAGs)