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

Data Engineer III

Seattle, WA · On-site

$130K - $156K/yr

Amazon.com is looking for a Data Engineer to join the Infrastructure Automation team. Amazon.com ... using Python, Airflow, and SQL to build the various ETL, analytics, and data quality components.

Data Engineer

Seattle, WA · Remote

$117K - $140K/yr

... o SQL, Python and PySpark/Scala • Experience working with structured and semi-structured data ... DevOps practices for data engineering. • Experience in building multi-tenant data platforms or ...

Data & AI Engineer

Bellevue, WA · On-site

$129K - $155K/yr

... SQL and Python • Solid experience with cloud data platforms (Azure preferred) • Strong ... • Data Engineering • Big Data Architecture • Data Modeling & Governance • Cloud Data ...

Data Bricks Data engineer

Seattle, WA · On-site

$130K - $156K/yr

... Python, PySpark, and SQL. • Lead and support large-scale data migration and modernization ... Azure DevOps and GitLab. • Configure and manage Azure services including Storage Accounts ...

Data Engineer

Seattle, WA

$130K - $156K/yr

The Data Engineer will be responsible for designing, building, and maintaining robust and scalable ... Solid SQL and Python skills; knowledge of data quality frameworks

Data Bricks Data engineer

Seattle, WA · On-site

$130K - $156K/yr

... Python, PySpark, and SQL. • Lead and support large-scale data migration and modernization ... Azure DevOps and GitLab. • Configure and manage Azure services including Storage Accounts ...

Databricks Data Engineer

Seattle, WA · On-site

$130K - $156K/yr

Design, build, and maintain data pipelines and data engineering solutions using Databricks, Apache Spark, Python, and Structured Query Language (SQL) * Support the modernization of enterprise data ...

... Go, or Python as complementary skills * Own database design decisions including schema design ... data storage paradigms Proficiency in Scala, Go, or Python as complementary programming languages ...

AI Data Engineer 3

Redmond, WA · On-site

$128K - $154K/yr

Python or Shell Scripting - Hands-on scripting experience used for automation, workflow ... The AI Data Engineer will play a key role in modernizing data infrastructure, improving data ...

"Data Engineer"

Seattle, WA · On-site

$130K - $157K/yr

I have an opportunity for "Data Engineer" and looking for a candidate who can join Immediately if ... Python Developer with Snowflake Exp. & Scala with Spark Best Regards Syed Imran Sr Technical ...

Lead Data Engineer

Seattle, WA · On-site

$130K - $156K/yr

... Azure DevOps • Collaborate with cross-functional teams to support data governance using ... such as Python/PySpark, SQL, or Scala • Experience working in a cloud environment (Azure ...

AI Data Engineer 3

Redmond, WA · On-site

$128K - $154K/yr

Python or Shell Scripting - Hands-on scripting experience used for automation, workflow ... The AI Data Engineer will play a key role in modernizing data infrastructure, improving data ...

You will be responsible for developing and operating a data service platform using Python, Airflow ... with programming languages such as Scala/Python are essential for this role. Key job ...

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Python Data Developer information

See Seattle, WA salary details

$15

$66

$98

How much do python data developer jobs pay per hour?

As of Jun 18, 2026, the average hourly pay for python data 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 are some common challenges faced by Python Data Developers when working with large datasets?

Python Data Developers often encounter challenges related to efficiently processing and managing large datasets, such as optimizing data pipelines for speed and memory usage. Handling data quality issues, integrating data from multiple sources, and ensuring scalability of their solutions are also frequent hurdles. Collaboration with data engineers, analysts, and stakeholders is crucial for understanding requirements and delivering robust results. Staying up to date with the latest libraries and tools, like Pandas, Dask, or PySpark, is also important to overcome these challenges and maintain high performance.

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

AspectPython Data DeveloperData Analyst
Required SkillsPython, SQL, data modeling, ETL processesExcel, SQL, data visualization, basic statistics
CertificationsPython certifications, data engineering coursesData analysis certifications, Excel certifications
Work EnvironmentData engineering teams, software development projectsBusiness units, reporting teams
Industry UsageTech, finance, healthcare, where data pipelines are neededMarketing, finance, operations for insights and reporting

The Python Data Developer focuses on building data pipelines, integrating data sources, and developing scalable data solutions using Python. In contrast, Data Analysts primarily interpret data, create reports, and provide insights for decision-making. While both roles require SQL and data handling skills, Python Data Developers are more involved in data engineering tasks, whereas Data Analysts focus on data visualization and analysis.

What are Python Data Developers?

Python Data Developers are professionals who use the Python programming language to collect, process, and analyze data. They build and maintain data pipelines, write scripts for data manipulation, and work with databases to ensure data is accessible and usable for analytics and business insights. These developers often collaborate with data scientists, analysts, and other IT professionals to support data-driven decision-making within an organization.

What are the key skills and qualifications needed to thrive as a Python Data Developer, and why are they important?

To excel as a Python Data Developer, you need strong programming skills in Python, a solid understanding of data structures, algorithms, and experience with relational and NoSQL databases. Familiarity with data processing libraries (like Pandas, NumPy), ETL tools, and version control systems, as well as knowledge of cloud platforms (such as AWS or Azure), are typically required. Problem-solving ability, attention to detail, and effective communication are vital soft skills in this role. These skills enable efficient data pipeline development, ensure data quality, and facilitate collaboration within technical teams.
What job categories do people searching Python Data Developer jobs in Seattle, WA look for? The top searched job categories for Python Data Developer jobs in Seattle, WA are:
Infographic showing various Python Data Developer job openings in Seattle, WA as of June 2026, with employment types broken down into 1% Locum Tenens, 81% Full Time, 5% Part Time, 4% Temporary, 7% Contract, and 2% Nights. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $138,762 per year, or $66.7 per hour.

Python - Senior Developers - AI Training - US

Prolific Academic Ltd

Seattle, WA • On-site, Remote

$50/hr

Full-time

Posted 22 days ago


Job description

Python - Senior Developers - AI Training - USAAbout Prolific

Prolific is not just another player in the AI space – we are building the biggest pool of quality human data in the world.

Over 35,000 AI developers, researchers, and organizations use Prolific to gather data from paid study participants with a wide variety of experiences, knowledge, and skills.

The role

We're looking for Senior Python Developers to join our Expert Network to help train and evaluate cutting-edge AI models. If you have a background in Software Engineering, we'll send you a quick 10- to 15-minute test to assess your skills. If successful, you'll be invited to join Prolific as a participant, where you'll get paid to help AI understand and summarize complex scientific data.

Researchers looking for your skills tend to pay up to $50/hr, depending on skills and experience level. You must be prepared to complete paid tasks that require one hour of uninterrupted work, though many are shorter.

What you'll bring
  • Educational Background: a BSc or higher in Computer Science, Software Engineering, or closely related technical field
  • Professional Experience: real world experience as a Senior Software Engineer/ Developer specializing in Python
  • Coding Proficiency: ability to solve LeetCode Medium to Hard-level problems in Python independently.
  • Deep Domain Knowledge: expert understanding of the GIL (Global Interpreter Lock), decorators, generators, memory management, and asynchronous patterns (asyncio, async/await).
  • Code Quality: a high standard for clean code, including modularity, readability, and adherence to modern Pythonic standards (PEP 8, PEP 20).
  • Attention to Detail: ability to spot subtle logical flaws, memory leaks, or security vulnerabilities in model-generated code.
What you'll be doing in the role
  • Evaluate Code Accuracy: review AI-generated Python code for functional correctness and adherence to best practices.
  • Validate Logic & Reasoning: audit the step-by-step explanations provided by AI for complex algorithmic solutions to ensure they are logically sound.
  • Conduct Execution Testing: execute model-generated scripts in appropriate environments to verify performance and output.
  • Annotate Model Performance: identify areas where a model provides inefficient solutions, deprecated syntax, or hallucinated library methods.
  • Refine Technical Logic: provide structured feedback on how models reason through backend architecture, data pipelines, or API design discussions.
Key Technologies
  • Core Language: expert mastery of Python 3.x, including type hints and modern language features.
  • Frameworks: extensive experience with Django, FastAPI, or Flask.
  • Testing & Tools: proficiency with pytest, unittest, coverage.py, and tox.
  • Backend & API: strong understanding of RESTful APIs, GraphQL, and server-side logic in a Python environment (e.g., with FastAPI or Django REST Framework).
Why Prolific is a great platform to join as a Participant

Joining our platform as a Prolific participant will give you the chance to influence the AI models of the future using professional legal expertise. Once you pass our assessment, you can join Prolific in just 15 minutes, and start enjoying competitive pay rates, flexible hours, and the ability to work from home.

We've built a unique platform that connects researchers and companies with a global pool of participants, enabling the collection of high-quality, ethically sourced human behavioural data and feedback. This data is the cornerstone of developing more accurate, nuanced, and aligned AI systems.

We believe that the next leap in AI capabilities won't come solely from scaling existing models, but from integrating diverse human perspectives and behaviours into AI development. By providing this crucial human data infrastructure, Prolific is positioning itself at the forefront of the next wave of AI innovation – one that reflects the breadth and the best of humanity.

Links to more information on Prolific

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Privacy Statement

By submitting your application, you agree that Prolific may collect your personal data for recruiting and global organisation planning. Prolific's Candidate Privacy Notice explains what personal information Prolific may process, where Prolific may process your personal information, its purposes for processing your personal information, and the rights you can exercise over Prolific use of your personal personal information.