ZipRecruiter

Log In

1

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

Staffingine LLC

Data Engineer

Bellevue, WA · On-site

$129K - $155K/yr

Data Engineer Location: Bellevue, WA Job Type: Onsite/Remote: Hybrid * Experience in Synapse with ... Python, Azure BLOB, Azure Data Factory, AZURE DATA LAKE

SRI Tech solutions Inc

Python Developer

Bellevue, WA · On-site

$56.75 - $78.25/hr

Bellevue, WA Job Type: Long Term Contract We are looking for a Python Web Developer responsible for managing the interchange of data between the server and the users. Your primary focus will be the ...

SRI Tech solutions Inc

Python Developer

Bellevue, WA · On-site

$56.75 - $78.25/hr

Bellevue, WA Job Type: Long Term Contract We are looking for a Python Web Developer responsible for managing the interchange of data between the server and the users. Your primary focus will be the ...

Purple Drive Technologies

Azure Data Engineer

Bellevue, WA · On-site

$129K - $155K/yr

Python; Azure Storage; ADF; Power Bi,Azure OpenAI Role Descriptions: Unified Analytics PlatformWork across Fabric workloads: Data Factory (ETL)| Synapse Data Engineering (Spark)| Synapse Data ...

Futran Tech Solutions Pvt. Ltd.

Data Engineer

Bellevue, WA · On-site

$128K - $154K/yr

... Python and Spark that meet all functional & non-functional requirements • Develop efficient ... database developer (Hadoop, cloud experience preferred) • 5+ years of experience in data ...

Snowflake

Sr. Enterprise Data & AI Architect

Bellevue, WA · On-site

$75.50 - $101/hr

SQL mastery, Python/data engineering, and familiarity with the modern data stack. • Experience in competitive enterprise selling, including platform displacement or co‑existence. • Expertise in ...

Diverse Lynx

Machine Learning | Python

Bellevue, WA

$56.75 - $78.25/hr

The role involves building robust backend services using Python, optimizing data models and queries in PostgreSQL, and creating intuitive, responsive user interfaces with React. The developer will ...

Futran Tech Solutions Pvt. Ltd.

Data Engineer II

Seattle, WA · On-site

$130K - $156K/yr

Strong experience in Data Engineering , Python, Snowflake, SQL, Azure Hands-on expertise with ETL/data pipelines Experience with large-scale data processing frameworks Strong SQL and data modeling ...

Sono Bello

Data Engineer

Bellevue, WA · On-site

$125K - $140K/yr

... data ... You will drive architecture decisions, mentor junior engineers, and champion Python- and PySpark ...

Staffingine LLC

Data Engineer

Bellevue, WA · On-site

$129K - $155K/yr

... Python SQL and Spark * Handson experience with Azure data services ADF Synapse Databricks ADLS and Azure DevOps * Deep understanding of data modeling warehousing and distributed computing

1 point system

AI Data Engineer

Redmond, WA · On-site

$128K - $154K/yr

Python 4-5 years * Data Modeling 3 years * Marketing 2 years Responsibilities * Build subject ... Working knowledge of DevOps and DataOps.

Pwc

GenAI Python Systems Engineer-Manager

Seattle, WA · On-site

$99K - $232K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary ... and deploying DevOps pipelines with cloud services - Enhancing cloud resources for cost and ...

Prophecy Technologies

AWS Data Engineer

Seattle, WA · On-site

$130K - $156K/yr

Build reusable, scalable programs using Python, Unix shell scripting, Java, or similar languages to ... Exposure to DevOps / CI CD practices for data pipelines * Bachelor's degree in computer science or ...

next page

Showing results 1-20

All JobsPython Data Developer JobsPython Data Developer Jobs in Seattle, WA

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 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
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.

Data Science Specialist

ANICCA DATA SCIENCE SOLUTIONS LLC

Bellevue, WA • On-site

$87K - $101K/yr

Full-time

Posted 21 days ago

Job description

Role Summary
We are looking for an experienced Data Professional to support Azure-based data platform, analytics, reporting, and advanced analytics and science work. The role requires hands-on experience in data engineering, data analysis, business intelligence, and Python-based analytics using Microsoft Azure technologies.
Key Responsibilities
* Design, build, and maintain data pipelines using Azure Data Factory, Azure Data Lake Gen2, Synapse, Fabric, and Databricks.
* Ingest, transform, and validate data from multiple business systems, APIs, databases, and files.
* Develop and maintain data models, source-to-target mappings, business rules, and data quality checks.
* Perform data profiling, reconciliation, gap analysis, and root-cause analysis.
* Write complex SQL, Python, PySpark, and KQL queries for data processing and analysis.
* Build and support Power BI dashboards, reports, semantic models, KPIs, and analytical datasets.
* Apply statistical analysis, forecasting, anomaly detection, and basic machine learning techniques where needed.
* Support Dev/UAT/Prod deployments, CI/CD, documentation, testing, and stakeholder sign-off.
* Ensure data security, governance, RBAC, access control, and performance best practices.
Required Skills
* 5+ years of experience in data engineering, data analytics, BI, or data science.
* Strong hands-on experience with Azure data services.
* Strong skills in SQL, Python, PySpark, Power BI, and data modeling.
* Experience with ADF, ADLS Gen2, Synapse/Fabric, Databricks, dbt, or Airbyte.
* Ability to translate business requirements into technical specifications, data models, reports, and analytics solutions.
* Experience with data validation, documentation, UAT support, and stakeholder communication.
* Knowledge of Azure DevOps, Git, CI/CD, and Agile delivery is preferred.
Qualifications
Bachelor’s or Master’s degree in Computer Science, Data Science, Information Technology, Engineering, Statistics, or a related field.