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Hadoop Python Jobs in Kenmore, WA (NOW HIRING)

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How much do hadoop python jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for hadoop python in Kenmore, WA is $66.29, according to ZipRecruiter salary data. Most workers in this role earn between $63.08 and $72.36 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Hadoop Python developer?

To thrive as a Hadoop Python Developer, you need a strong understanding of distributed computing, Hadoop ecosystem components (like HDFS, MapReduce, Hive, or Pig), and advanced Python programming skills, often supported by a degree in computer science or related field. Familiarity with tools such as Apache Spark, Sqoop, and workflow schedulers (like Oozie or Airflow), along with experience in handling big data platforms, is typically required. Problem-solving abilities, attention to detail, and effective communication help developers collaborate with teams and translate business requirements into scalable data solutions. These skills and qualifications are essential for efficiently processing and analyzing large datasets, ensuring data reliability, and driving business insights.

What is the difference between Hadoop Python vs Hadoop Java Developer?

AspectHadoop PythonHadoop Java Developer
Required CredentialsPython programming skills, Hadoop certificationsJava programming skills, Hadoop certifications
Work EnvironmentData analysis, scripting, data pipeline developmentCore development, system integration, big data application coding
Industry UsageData science, analytics, machine learning projectsData infrastructure, platform development, system optimization

Hadoop Python and Hadoop Java Developer roles both involve working with Hadoop ecosystems, but Python focuses more on data analysis and scripting, while Java is geared towards core development and system integration. The choice depends on your programming expertise and career goals within big data environments.

What is a Hadoop Python developer?

A Hadoop Python developer is a software professional who specializes in using Python programming language to develop, implement, and maintain applications that process and analyze large datasets within the Hadoop ecosystem. They leverage Python libraries like PySpark to write scalable data processing scripts, interact with Hadoop components such as HDFS, and optimize big data workflows. These developers play a critical role in building data pipelines, performing data transformation, and supporting analytics projects in organizations that handle vast amounts of data.

How do Hadoop Python developers typically collaborate with data engineers and analysts on large-scale data projects?

Hadoop Python developers frequently work alongside data engineers and analysts to design, implement, and optimize data pipelines for handling vast datasets. They are responsible for writing Python scripts that interface with Hadoop components, ensuring data is processed efficiently and meets project requirements. Regular communication with data engineers helps align on infrastructure and architectural decisions, while close collaboration with analysts ensures data outputs are accurate and actionable. Agile methodologies and daily stand-ups are common, fostering teamwork and quick problem-solving.
Hadoop Python jobs near you
Infographic showing various Hadoop Python job openings in Kenmore, WA as of July 2026, with employment types broken down into 88% Full Time, 3% Part Time, and 9% Contract. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution, with an average salary of $137,884 per year, or $66.3 per hour.

Senior Applied Scientist , Amazon Ads

Amazon

Seattle, WA

$104K - $142K/yr

Full-time

Posted 9 days ago

Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 7,066 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers

Job description

Your Next Big Challenge Starts Here
You've spent years mastering machine learning. Now imagine applying that expertise where it actually reaches billions of people - every single day.
At Amazon Ads, we're not just running ads. We're re-inventing the entire advertising experience using generative AI, large language models, and next-generation ML

From the moment a brand crafts a campaign to the instant a customer discovers something they love - your science powers it all.
Billions of impressions. Millions of clicks. Petabytes of data

And you - at the center of it.
Why This Role Will Excite You
Unmatched scale and resources. You'll have access to computational power and datasets most scientists only dream about. Build solutions that don't just work in a notebook - they work at planet scale.
Breadth that keeps you sharp

One quarter you might be optimizing real-time bidding systems. The next, you're building creative AI that generates ad content. Ranking, personalization, NLP, computer vision, LLMs - it's all on the table.
Your ideas ship

This isn't a research lab where papers collect dust. You'll take models from concept to production, run A/B experiments, and see your work move metrics that matter - for advertisers, customers, and the business.
People who push you forward. You'll collaborate with world-class engineers, scientists, and product leaders who are just as passionate about solving hard problems as you are.
What You'll Actually Do
Research and build next-generation ML solutions - including generative AI and LLM applications - that transform how advertising works
Own end-to-end projects: from messy, ambiguous problems to deployed, production-grade models
Design experiments that validate your hypotheses and measure real business impact
Build models that balance what's best for customers and advertisers - because great advertising should feel helpful, not intrusive
Work cross-functionally with engineers, PMs, and fellow scientists to ship fast and iterate faster
Develop scalable ML pipelines that optimize monetization without sacrificing customer experience
Where This Takes Your Career
Whether you want to go deep as a technical IC or grow into people leadership - both paths are real here

You'll have opportunities to:
Lead high-visibility technical initiatives
Mentor and grow other scientists
Shape strategy alongside senior leadership
Build a reputation in a community that genuinely values scientific excellence
Your work won't just be seen internally - it'll impact millions of customers and advertisers worldwide.
Watch Scientists at Amazon Ads Talk About Their Work
https://www.youtube.com/watch?v=vvHsURsIPEA
Learn More About Amazon Ads
https://advertising.amazon.com/
Basic Qualifications
5+ years building ML models for real business applications
PhD, or Master's degree + 6 years of applied research experience
Strong programming skills in Python, Java, C++, or similar
Hands-on experience with deep learning and neural network methods
Preferred Qualifications
Experience with tools like scikit-learn, TensorFlow, PyTorch, Spark MLLib, MxNet, numpy, scipy
Experience with large-scale distributed systems (Hadoop, Spark, etc.)

What Amazon employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Amazon logo

About Amazon

Sourced by ZipRecruiter

Amazon.com, Inc., commonly known as Amazon, is an American multinational technology company. It was founded by Jeff Bezos in 1994 and initially started as an online marketplace for books. Since then, Amazon has expanded its operations and become one of the largest e-commerce companies in the world. Amazon's primary business is its online retail platform, where customers can purchase a vast array of products, including electronics, clothing, books, home goods, and much more. The company offers a convenient and user-friendly shopping experience, with features such as fast shipping, customer reviews, and personalized recommendations. In addition to its e-commerce platform, Amazon has diversified its business into various other areas. One of its notable ventures is Amazon Web Services (AWS), a comprehensive cloud computing platform that provides services such as storage, compute power, and database management to individuals and businesses. AWS has become a leader in the cloud computing industry, powering many websites and applications worldwide. Amazon has also developed its own consumer electronics, including the popular Amazon Kindle e-reader, Fire tablets, Fire TV streaming devices, and the Alexa-powered Echo smart speakers. The Alexa voice assistant, integrated into these devices, allows users to interact with their devices using voice commands, perform tasks, and access information. Furthermore, Amazon has expanded into media and entertainment. It operates Prime Video, a streaming service that offers a wide range of movies, TV shows, and original content. Amazon Music provides a platform for streaming and purchasing digital music, while Audible offers audiobooks and other audio content. The company's commitment to customer satisfaction and convenience is demonstrated by its membership program, Amazon Prime. Prime members receive various benefits, including free two-day shipping, access to streaming services, exclusive deals, and more.

Industry

It services, book publishers, retail, real estate and computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Seattle, WA, US

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