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

ConfigUSA

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 ...

EXL

Senior Data Engineer

Seattle, WA · On-site +1

$120.70K - $164K/yr

Develop Python data engineering workloads using Polars or Pandas at scale, with rigorous attention to Parquet partitioning, join performance on large datasets, and memory efficiency. * Build, deploy ...

Alignerr

Data Platform Engineer (Python)

Seattle, WA · Remote

Full-stack developer with a strong systems programming background * 5+ years of professional experience writing production Python for data engineering * Proficient with workflow orchestration tools ...

Dlapiper

Data Engineer

Seattle, WA · On-site

$130.30K - $156.50K/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 ...

Paradigm

Data Engineering Developer

Seattle, WA · Remote

... 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 ...

Avante

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 ...

Avante Inc

Senior Data Engineer

Seattle, WA · Hybrid

$170K - $210K/yr

... a data engineer who can build and maintain the pipelines and infrastructure that power our AI ... Build and architect Python data pipelines that are reliable, testable, and observable * Orchestrate ...

Avante

Senior Data Engineer

Seattle, WA · On-site

$170K - $210K/yr

... a data engineer who can build and maintain the pipelines and infrastructure that power our AI ... Build and architect Python data pipelines that are reliable, testable, and observable * Orchestrate ...

Plaid

Senior Data Engineer - Data Engineering

Seattle, WA · On-site

$120.70K - $164K/yr

Data Engineers heavily leverage SQL and Python to build data workflows that integrate with our Golang applications. We use tools like DBT, Airflow, Redshift, Atlan, and Retool to orchestrate data ...

UST

Senior Python Developer

Redmond, WA · On-site

$136.10K - $183.10K/yr

... data parsing pipelines using appropriate Python libraries. • Integrate and maintain Azure SDK ... DevOps (ADO) CI/CD pipelines using YAML (azure-pipelines.yml), including test automation ...

Jobsbridge

Python AWS Developer

Seattle, WA

$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 ...

United IT

Data Engineer

Seattle, WA · On-site

$130.40K - $156.60K/yr

Data Engineer We are seeking a highly skilled Data Engineer with strong expertise in SQL, Python, Apache Spark, and hands-on experience with Azure cloud services, including Azure Databricks and Azure ...

People, Data & Solutions

Data Engineer II

Seattle, WA · On-site

$75/hr

We are looking for a Data Engineer to join the Infrastructure Automation team. Our success depends ... using Python, Airflow, and SQL to build the various ETL, analytics, and data quality components.

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How much do python data developer jobs pay per hour?

As of May 28, 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 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 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 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 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 popular job titles related to Python Data Developer jobs in Seattle, WA? For Python Data Developer jobs in Seattle, WA, the most frequently searched job titles are:
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:
Python Data Developer jobs near you

Python developer (data engineering)

ConfigUSA

Seattle, WA • On-site

$57.25 - $78.75/hr

Contractor

Posted 22 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.