1

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

Senior Data Architect

Seattle, WA

$76.50 - $102.50/hr

The ideal candidate will combine deep SQL and data engineering expertise with a strong ... Experience with SSIS, Python data pipelines, and/or similar integration tools. Candidates must meet ...

Senior Data Architect

Seattle, WA · On-site +1

$76.50 - $102.50/hr

The ideal candidate will combine deep SQL and data engineering expertise with a strong ... Experience with SSIS, Python data pipelines, and/or similar integration tools. Candidates must meet ...

Senior Data Architect

Seattle, WA

$76.50 - $102.50/hr

The ideal candidate will combine deep SQL and data engineering expertise with a strong ... Experience with SSIS, Python data pipelines, and/or similar integration tools. Candidates must meet ...

Senior Data Architect

Seattle, WA · On-site

$76.50 - $102.50/hr

The ideal candidate will combine deep SQL and data engineering expertise with a strong ... Experience with SSIS, Python data pipelines, and/or similar integration tools. Candidates must meet ...

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

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 ...

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 ...

Big data

Bellevue, WA · On-site

$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 ...

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 ...

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 ...

Data Engineer

Bellevue, WA · On-site

$125K - $140K/yr

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

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 ...

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

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.

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 ...

Sr. Data Engineer

Seattle, WA · On-site

$130K - $156K/yr

As a member of the Product and Engineering team at PitchBook, you will be part of a team of big ... Python, with skills for diverse components of data pipelines, including scripting, data ...

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 ...

next page

Showing results 1-20

Python Data Developer information

See Seattle, WA salary details

$15

$66

$98

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 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:

$76.50 - $102.50/hr

Full-time

Medical, Dental, Vision, Retirement

Posted 13 days ago


Job description

Location: Seattle, WA or San Francisco, CA (Full-time; Partially Remote)  

We are seeking a highly skilled Senior Data Architect to lead the design, management, and maturity of the firm’s enterprise data ecosystem. This role owns the architecture and reliability of the LNW data warehouse, reporting platforms, and integration pipelines that power analytics across the organization. The ideal candidate will combine deep SQL and data engineering expertise with a strong understanding of financial services, data flows, and reporting needs of a wealth management firm. 

Interview Requirments 

This role includes in-person interviews as part of the selection process. The first interview will take place at one of our office locations in Seattle, WA or San Francisco, CA. To be considered, candidates must be able to attend that in-person interview at one of these locations. Additional interviews may be conducted in-person or virtually, as determined by the hiring team. 

Your Role and Responsibilities 

Data Architecture & Engineering

  • Own the design and long-term architecture of the firm’s enterprise data warehouse and data pipelines  
  • Develop and maintain scalable SQL data models supporting firm metrics, critical data needs, client reporting, and operational analytics. 
  • Build and maintain ETL/ELT pipelines, replication strategies, and processes to align data across portfolio accounting, CRM, trading, and operational systems.  
  • Design data ingestion frameworks for large structured files, API integrations, and replication feeds.  

Reporting & Analytics Platforms

  • Maintain and optimize reporting infrastructure including Power BI, SSRS, and related semantic models.  
  • Partner with business leaders to deliver dashboards supporting firm metrics, revenue reporting, and operational insights.  
  • Develop & maintain Bulk Document Management Dashboard for portal delivery of performance reporting and other document types currently operationalized.  
  • Ensure reporting models are performant, well documented, and scalable.  

Data Governance & Quality

  • Establish standards for data quality, lineage, documentation, and lifecycle management.  
  • Implement monitoring and validation processes to ensure accuracy of critical financial and operational data.  
  • Partner with compliance and leadership to ensure proper governance and obfuscation of sensitive client data. 
  • Manage Data Backup and retention policies, Recovery Time Objectives (RTO). 

Integration, Automation, & Agentic AI

  • Design integration frameworks using SQL, APIs, and automation platforms such as Azure Data Factory (ADF), SSIS and Workato. 
  • Support data synchronization between systems including CRM, portfolio accounting, billing, and trading platforms. 
  • Leverage Autonomous AI into integration frameworks using MCP or 3rd party harnesses to support decision-driven automation and delivery. 
  • Enable LNW’s responsible use of AI and advanced analytics by ensuring enterprise data is accurate, well-structured, and accessible to analytical tools.  
  • Deliver high-quality datasets for AI consumption, implementing governance and lineage controls to ensure trustworthy outputs, and supporting integration with platforms such as Microsoft Copilot, Power BI AI features, and other approved analytical tools.  
  • Automate data processing workflows to improve operational efficiency and reduce manual intervention. 

More About You 

Experience and Education

  • 7+ years of experience in data engineering, data architecture, or data warehouse development. 
  • Expert-level SQL skills with deep experience designing relational data models. 
  • Strong experience with Salesforce SOQL, SQL Stored Procedures, Views, Keys, Indexes and Constraints. 
  • Strong experience with data warehouse architecture and ETL/ELT pipeline design. 
  • Hands-on experience with reporting tools such as Power BI and SSRS. 
  • Experience integrating enterprise SaaS platforms using APIs and automation tools. 
  • Strong analytical thinking and ability to translate business reporting needs into scalable data models. 

Preferred Skills & Attributes

  • Experience in wealth management, investment management, or financial services. 
  • Experience with portfolio accounting systems, CRM platforms, and trading systems. 
  • Experience managing enterprise data warehouses on Microsoft SQL Server. 
  • Experience with SSIS, Python data pipelines, and/or similar integration tools. 

Candidates must meet all employment qualifications in force at time of hiring, including successful passing of background & credit checks and any pre-employment examinations, signing of all employee agreements, and have the ability to perform the essential functions, duties and responsibilities set forth in a consistent and efficient manner.Reports to: Chief Operating Officer and General Counsel 

Compensation and Benefits   

We provide a competitive salary commensurate with your experience and skills and offer an annual bonus based on company and individual performance. The hiring salary range for this position in Seattle is $115,000 to $150,000, in San Francisco is $130,000 to $170,000, and Remote from $100,000 to $135,000, depending on experience.   

The salary range applies to the current posting and may change in the future. The range may vary based on key factors such as education, job-related knowledge, experience, skill set, and geographic location.   

We offer excellent benefits including medical, dental and vision coverage, generous time off (including sabbaticals), flexible spending plans for health care and dependent care, 401(k) plan, educational reimbursements. For details of all benefits, please visit our website here. 

About Us   

For more than five decades, Laird Norton Wetherby (LNW) has served the interests of exceptional families and individuals. As both an RIA and trust company, LNW offers a full spectrum of specialized wealth & legacy planning, investment management and trust & estate services that advance the aspirations and long-term, multigenerational financial ambitions of its clients. LNW has offices in Seattle, San Francisco, New York, Los Angeles and Philadelphia, as well as an affiliate trust company in South Dakota, empowering clients across the U.S.   

LNW is majority owned by Laird Norton Company, one of the longest-sustained family enterprises in the United States, as well as by active employees.   

Additional Information   

Our firm aims to cultivate an inclusive environment and culture that fosters growth, collaboration and acceptance; where we celebrate the diverse voices and perspectives of our employees; and where employees feel empowered to bring their full, authentic selves. Our diversity drives us forward and helps us build deeper relationships with our clients and our community.   

The firm is an equal opportunity employer and prohibits discrimination against employees, applicants for employment, individuals providing services in the workplace pursuant to a contract, unpaid interns and volunteers based on their actual or perceived sexual orientation, gender, gender identity, gender expression, ancestry, marital status, registered domestic partner status, military and veteran status, civil air patrol status, national origin, immigration status, pregnancy (including childbirth and related medical conditions, and including medical conditions related to lactation) or medical condition (cancer and genetic characteristics).  
 
*As of 04/13/2026 
#Li-Hybrid

Employment Type: FULL_TIME