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Python R Developer Jobs in Seattle, WA (NOW HIRING)

Sr. Python Developer

Bellevue, WA ยท On-site

$136K - $183K/yr

I'm looking for a Sr. Python Developer with 7 to 10 years of experience with expertise in design and development of large-scale data analytic applications using either Python or R languages.

Sr. Python Developer

Bellevue, WA ยท On-site

$136K - $183K/yr

I'm looking for a Sr. Python Developer with 7 to 10 years of experience with expertise in design and development of large-scale data analytic applications using either Python or R languages.

... Python, R, SQL) (or 8 years work experience plus a Master's degree). Preferred qualifications: * Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a ...

... Python, R, or Java, and experience with AI libraries (e.g., TensorFlow, PyTorch ) * 5. Strong ... engineering, and dimensionality reduction * 7. Familiarity with cloud-based AI services and ...

... Python, R, or Java, and experience with AI libraries (e.g., TensorFlow, PyTorch) 5. Strong ... engineering, and dimensionality reduction 7. Familiarity with cloud-based AI services and platforms ...

Enterprise AI Engineer I

Seattle, WA ยท On-site

$100K - $115K/yr

... Python, R, or Java, and experience with AI libraries (e.g., TensorFlow, PyTorch) 5. Strong ... engineering, and dimensionality reduction 7. Familiarity with cloud-based AI services and platforms ...

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Python R Developer information

See Seattle, WA salary details

$15

$66

$98

How much do python r developer jobs pay per hour?

As of Sep 12, 2026, the average hourly pay for python r developer in Seattle, WA is $66.71, according to ZipRecruiter salary data. Most workers in this role earn between $55.00 and $75.77 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.

Infographic showing various Python R Developer job openings in Seattle, WA as of August 2026, with employment types broken down into 1% Internship, 85% Full Time, 8% Part Time, and 6% Contract. Highlights an 79% Physical, 6% Hybrid, and 15% Remote job distribution, with an average salary of $138,762 per year, or $66.7 per hour.

Sr. Developer

Bellevue, WA โ€ข On-site

Avani Technology Solutions, Inc.
IT Servicesย โ€ขย 201 - 500 employees

Contractor

This job post hasย expired 4 days ago.ย Applications are no longer accepted.


Job description

Advanced knowledge in machine learning, computer science, math, statistics or a related discipline Extensive data modeling and machine learning architecture skills Programming experience in Python, R or Java Background in machine learning Frameworks such as: TensorFlow or Keras Knowledge of Hadoop or another distributed computing systems Experience working in an Agile environment Advanced math skills linear algebra, Bayesian statistics group theory Analyzing the ML algorithms that could be used to solve a given problem and ranking them by their success probability Exploring and visualizing data to gain an understanding of it then identifying differences in data distribution that could affect performance when deploying the model in the real world Verifying data quality and/or ensuring it via data cleaning, Supervising the data acquisition process if more data is needed, Finding available datasets online that could be used for training Defining validation strategies, Defining the preprocessing or feature engineering to be done on a given dataset Defining data augmentation pipelines, Training models and tuning their hyperparameters Analyzing the errors of the model and designing strategies to overcome them Deploying models to production Strong written and verbal communications
Hours : 8:00am to 5:00pm
Education :
Additional Job Details : Primary skil: Azure Machine Learning/Python/R