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

Python developer (data engineering)

Seattle, WA · On-site

$57.25 - $78.75/hr

... Python for data engineering and application development. Proficiency in frontend and backend ... frameworks: Backend: Python, Django Frontend: Angular, React Ability to design and implement ...

Data Engineer

Seattle, WA

$130K - $156K/yr

Together. Summary The Data Engineer, Solutions & Data role designs, builds, and operates data ... Proficiency in SQL and Python. * Data pipeline tooling and cloud data services experience (Azure ...

... Developer to join our team. If you love data - cleaning it, digging in it, understanding what type ... You are very knowledgeable in Python. Knowledge of other JVM languages like Kotlin, Java and Scala ...

Senior Data Engineer

Seattle, WA · Hybrid

$170K - $210K/yr

... Python data pipelines that are reliable, testable, and observable - Orchestrate workflows using ... engineering - Contribute to adjacent full stack and platform engineering projects What We Are ...

Python AWS Developer

Seattle, WA · On-site

$57.25 - $78.75/hr

Software Engineering for an enterprise product (we care about performance and reliability) Python ... and Data Dog would be desired not required Qualifications Python AWS Additional Information ...

Python Developer :26-01167

Redmond, WA · On-site

$56.25 - $77.50/hr

They are seeking a Python Developer responsible for developing software solutions, resolving ... data, analyze log files, compare models to observed behavior, root cause. • Enhance testing ...

Sr. Python Developer

Bellevue, WA · 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 · 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.

Test Lead/ Python Developer

Redmond, WA · On-site

$156K - $192K/yr

... data acquisition) devices, spectrum analyzers, etc. b. The QCoDeS drivers will provide the ... Python Programming Language (P3 - Advanced) | 3 - System Defect Management (P3 - Advanced) | 4 - ...

Python Developer :26-01167

Redmond, WA · On-site

$60 - $64.79/hr

Key Responsibilities: * Strong Programing/Coding Skills Preference for Python * Design and ... Troubleshoot deeply: anticipate failures, collect data, analyze log files, compare models to ...

Data ML Engineer

Bellevue, WA · On-site

$50 - $54/hr

Role Summary We are seeking a skilled Data Machine Learning Engineer with strong experience in Python| PySpark| and Azure Synapse Analytics| along with working knowledge of Azure Machine Learning ...

Big data

Bellevue, WA

$59.75 - $77.50/hr

... Developer with handson capacity to develop various facets of the Hadoop and big data ecosystems, including, HADOOP, HDFS, MapReduce, YARN, Flume, HBase, Accumulo, Spark, and Python. Desired years of ...

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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 developer (data engineering)

ConfigUSA

Seattle, WA • On-site

$57.25 - $78.75/hr

Contractor

Posted 13 days ago


Job description

Location: Seattle, WA
Duration: 6 months
GBaMS ReqID:10383680
US CITIZENS AND GC HOLDERS ONLY
100% ON-SITE
10+ years Exp
2 opening for this position
Must-Have Technical/Functional Skills
Strong experience in Python for data engineering and application development.
Proficiency in frontend and backend frameworks:
Backend: Python, Django
Frontend: Angular, React
Ability to design and implement RESTful APIs and integrate with UI components.
Solid understanding of data pipeline design, ETL processes, and optimization.
Knowledge of Postgres and MongoDB (preferred).
Familiarity with scalable architecture and performance tuning.
Roles & Responsibilities
Data Pipeline Development
Design, develop, and implement data pipelines using Python.
Web Application Development
Build and maintain web applications using Python/Django and Angular/React.
API Development
Design and implement RESTful APIs; integrate with frontend components.
Code Quality & Optimization
Write clean, efficient, maintainable code following best practices.
Optimize applications for speed and scalability.
Testing & Debugging
Participate in code reviews, testing, and debugging to ensure software quality.
Troubleshoot and resolve issues across development, testing, and production.
Collaboration
Work closely with data scientists, analysts, and stakeholders to deliver data solutions aligned with business goals.
Documentation
Create and maintain documentation for data infrastructure, pipelines, and ETL processes.
Experience Required
Minimum 3 years in Python development and data engineering.
Generic Managerial Skills
Ability to work in a dynamic environment and solve complex problems.
Strong problem-solving skills and ability to handle ambiguity.