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

Vibotek LLC

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

Deloitte

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 ...

Apple

Software Data Engineer

Seattle, WA

$142K - $263K/yr

... 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 ...

Navtech, Inc.

"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 ...

Team Red Dog

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 ...

Team Red Dog

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 ...

Amazon

Data Engineer, WW Ops Finance S&A

Bellevue, WA

$129K - $155K/yr

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 ...

Amazon

Data Engineer, WW Ops Finance S&A

Bellevue, WA

$129K - $155K/yr

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 ...

Amazon

Data Engineer, WW Ops Finance S&A

Bellevue, WA · On-site

$129K - $155K/yr

As a Data Engineer in WW Ops S&A, you will design, implement and support scalable data ... You will be responsible for developing and operating a data service platform using Python, Airflow ...

Archgroup

Manager, Data Engineer (Remote)

Home, WA · Remote

$100K - $174K/yr

Strong programmingexpertisein Python and SQL, including data engineering frameworks, large-scale data manipulation, and governed AI-assisted development practices * Apache Sparkproficiency ...

Archgroup

Manager, Data Engineer (Remote)

Home, WA · Remote

$100K - $174K/yr

Strong programmingexpertisein Python and SQL, including data engineering frameworks, large-scale data manipulation, and governed AI-assisted development practices * Apache Sparkproficiency ...

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

Python Data Developer information

See Seattle, WA salary details

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$66

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How much do python data developer jobs pay per hour?

As of Jul 8, 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
Sr. Data Engineer with Unity Catalog

Sr. Data Engineer with Unity Catalog

R2 Technologies Corporation

Seattle, WA • On-site

$130K - $156K/yr

Full-time

Posted 6 days ago

Job description

Overview:
Sr. Data Engineer with Unity Catalog
Sr. Data Engineer with Unity Catalog
Location - Seattle WA- 4 days office
Duration - 12 months
Core skills -
Collaborate with cross-functional teams to support data governance using Databricks Unity Catalog
Need to coordinate with Offshore
10-12+ years of experience in data engineering or a related field
Expertise with programming languages such as Python/PySpark, SQL, or Scala
• Experience working in a cloud environment (Azure preferred) with strong understanding of cloud data architecture
. Hands-on experience with Databricks Cloud Data Platforms Required.
-Should have experience migrating to Unity Catalog.
• Experience with workflow orchestration (e.g., Databricks Jobs, or Azure Data Factory pipelines) Required
Responsibilities -
Design, build, and deploy data extraction, transformation, and loading processes and pipelines from various sources including databases, APIs, and data files.
• Develop and support data pipelines within a Cloud Data Platform, such as Databricks
Build data models that reflect domain expertise, meet current business needs, and will remain flexible as strategy evolves
• Monitor and optimize Databricks cluster performance, ensuring cost-effective scaling and resource utilization
• Demonstrates ability to communicate technical concepts to non-technical audiences both in written and verbal form.
Demonstrates strong understanding with coding and programming concepts to build data pipelines (e.g. data transformation, data quality, data integration, etc.). . Demonstrates strong understanding of database storage concepts (data lake, relational databases, NoSQL, Graph, data warehousing).
Implement and maintain Delta Lake for optimized data storage, ensuring data reliability, performance, and versioning
Automate CI/CD pipelines for data workflows using Azure DevOps
Skills:
Databricks Unity Catalog,Python/PySpark,Azure Data Factory

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