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Python R Developer Jobs in Santa Clara, CA (NOW HIRING)

Info Way Solutions

Hadoop Developer

San Jose, CA · On-site

Job Summary : Info Way Solutions is seeking a Hadoop Developer to join their team. The role ... R, and python Qualifications : Required : • Proficient with Big Data architecture, including ...

Apple

iPhone System Reliability Engineer

Cupertino, CA · On-site

$126K - $159K/yr

... using Python, R or other languages to for extracting data and performing reliability analysis ... engineers and scientists to solve complex electromechanical / mechanical design challenges

Venturesoft

Data Analytics Engineer

Pleasanton, CA · On-site

$126K - $151K/yr

In this role as Data Analytics Engineer, In this role, you will build and maintain data pipelines ... Proficiency inprogramming languages such as Python, R, or SQL * Experience withmachine learning ...

Info Way Solutions

Hadoop Developer

Fremont, CA · On-site

M/R, Hive SQL, Spark etc • Working knowledge on puppet • Excellent analytical and ... Python Company : Founded and incorporated in 2012 , Info Way Solutions is an IT services and ...

Ruri Software Technologies LLC

DevOps Engineer

Pleasanton, CA · On-site

$58.50 - $80.25/hr

Title : DevOps Engineer # of Openings : 1 Position Type : Contract Location : Pleasanton, CA ... Extensive, working experience with scripting languages such as R, Python, Perl, C or Java; the Bash ...

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All JobsPython R Developer JobsPython R Developer Jobs in Santa Clara, CA

Python R Developer information

See Santa Clara, CA salary details

$15

$68

$101

How much do python r developer jobs pay per hour?

As of Sep 11, 2026, the average hourly pay for python r developer 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 is a Python R developer?

Python R Developers are professionals skilled in both the Python and R programming languages, primarily working in data science, analytics, and statistical computing. They leverage the strengths of both languages to process, analyze, and visualize complex data sets. These developers often work in environments where integrating machine learning, statistical modeling, and data engineering is required, and they may build tools or pipelines that utilize both Python and R. Proficiency in both languages allows them to select the best tools and libraries for specific tasks, increasing the efficiency and accuracy of data-driven projects.

What skills and qualifications are needed to thrive as a Python R developer?

To thrive as a Python R Developer, you need strong programming skills in both Python and R, a solid foundation in statistics, and a relevant degree in computer science, mathematics, or a related field. Familiarity with data analysis libraries (like pandas, NumPy, dplyr), data visualization tools, and version control systems (such as Git) is typically required, along with experience using Jupyter Notebooks or RStudio. Effective problem-solving, communication, and the ability to collaborate with interdisciplinary teams are valuable soft skills. These skills ensure robust data solutions, clear reporting, and efficient teamwork in data-driven environments.

How do Python R developers typically collaborate with data scientists and analysts in a project team?

Python R Developers often work closely with data scientists and analysts to design, implement, and optimize data processing workflows. They translate analytical requirements into robust, scalable code, ensuring that models and analyses can be efficiently run in both Python and R environments. Collaboration usually involves frequent code reviews, sharing best practices for interoperability, and integrating tools such as Jupyter Notebooks or RMarkdown for seamless reporting. This teamwork fosters knowledge sharing and helps deliver accurate, reproducible results aligned with project goals.

What is the difference between Python R Developer vs Data Analyst?

AspectPython R DeveloperData Analyst
Required SkillsProficiency in Python and R programming, data manipulation, statistical analysisData interpretation, basic statistical skills, Excel, SQL
Work EnvironmentData science teams, software development projectsBusiness intelligence, reporting, data visualization
Common Industry UsageTech, finance, healthcare, researchMarketing, finance, operations, retail

Python R Developers focus on building data models and algorithms using Python and R, often in technical or research settings. Data Analysts interpret data to generate reports and insights for business decisions. While both roles require data skills, Python R Developers typically have stronger programming expertise, whereas Data Analysts excel in data visualization and reporting.

Python R Developer jobs near you
Infographic showing various Python R Developer job openings in Santa Clara, CA as of August 2026, with employment types broken down into 1% Internship, 82% Full Time, 11% Part Time, and 6% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $143,202 per year, or $68.8 per hour.

Product Data Scientist, Google Ads

Mountain View, CA • On-site

Google
Software Development • 10K+ employees
Learn more about Googleexternal

Full-time

Posted 8 days ago

Google rating

8.8

Company rating: 8.8 out of 10

Based on 103 frontline employees who took The Breakroom Quiz

Job description

info_outline
X Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Mountain View, CA, USA; New York, NY, USA.
Minimum qualifications:
  • Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field, or equivalent practical experience.
  • 5 years of work experience with analysis applications (extracting insights, performing statistical analysis, or solving business problems), and coding (Python, R, SQL) (or 2 years work experience with a Master's degree).

Preferred qualifications:
  • Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
  • 5 years of work experience with analysis applications (extracting insights, performing statistical analysis, or solving business problems), and coding (Python, R, SQL).

About the job
Help serve Google's worldwide user base of more than a billion people. Data Scientists provide quantitative support, market understanding and a strategic perspective to our partners throughout the organization. As a data-loving member of the team, you serve as an analytics expert for your partners, using numbers to help them make better decisions. You will weave stories with meaningful insight from data. You'll make critical recommendations for your fellow Googlers in Engineering and Product Management. You relish tallying up the numbers one minute and communicating your findings to a team leader the next.
The Advertiser Platform (AP) team drives better business outcomes for ads customers through automation and critically important platforms, encouraging long-term investments with Google. The AP Product Analytics (APPA) team enables the AP team to make data-driven decisions by building tooling, maintaining datasets, and by measuring and delivering insights for improving key metrics for our scaled and automated Google Ads products.
In this role, you will empower the Advertiser Platform team to make critical, data-driven decisions by providing the tools, datasets, and actionable insights they need to scale and improve Google Ads products. You will play a pivotal role in supporting the Performance Max team and broader campaign automation efforts. Your work will center on understanding and optimizing how advertisers express their business objectives through conversion goals, advertising channel value modifiers, customer lifecycle optimization, and other emerging controls.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $138000 - $197000 (USD) 15% bonus target equity benefits
Learn more about benefits at Google .
Responsibilities
  • Perform comprehensive investigations into fundamental business and product strategy questions using unstructured data (e.g. logs) and advertiser behavior analysis.
  • Participate in end-to-end design, execution, and evaluation of complex experiments to definitively measure how product changes impact advertiser performance.
  • Create and steward robust reporting frameworks and key performance indicators that capture the incremental impact delivered to Google's business and its advertisers.
  • Act as a critical strategic partner to the Advertiser Platform team, translating complex analytical findings into clear business strategies that anticipate future market trends.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google's Applicant and Candidate Privacy Policy .
Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .
If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form .
Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.
Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.

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