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

Senior Data Architect

Seattle, WA · On-site +1

$76.50 - $102.50/hr

Reporting & Analytics Platforms * Maintain and optimize reporting infrastructure including Power BI ... Experience with SSIS, Python data pipelines, and/or similar integration tools. Candidates must meet ...

Senior Data Architect

Seattle, WA

$76.50 - $102.50/hr

Reporting & Analytics Platforms * Maintain and optimize reporting infrastructure including Power BI ... Experience with SSIS, Python data pipelines, and/or similar integration tools. Candidates must meet ...

... data analysis. Must-Have Skills: * Proven experience building and deploying production ML systems. * Expertise in agentic AI development and orchestration. * Strong proficiency in Python for data ...

Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience - 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect ...

Insurance Data Analyst

Seattle, WA · On-site

$88K - $123K/yr

Insurance Data Analyst Location: United States Workplace Type: Remote About the Job The future is ... Proficiency in Python or R for analysis or automation. * Familiarity using AI tools to accelerate ...

Senior Data Architect

Seattle, WA

$76.50 - $102.50/hr

Reporting & Analytics Platforms * Maintain and optimize reporting infrastructure including Power BI ... Experience with SSIS, Python data pipelines, and/or similar integration tools. Candidates must meet ...

Experience using R, python, or similar tools to conduct data analysis. * Working knowledge of SQL. * Self-directed, ability to drive projects to completion and proactively communicate timelines and ...

Senior Data Architect

Seattle, WA

$76.50 - $102.50/hr

Reporting & Analytics Platforms * Maintain and optimize reporting infrastructure including Power BI ... Experience with SSIS, Python data pipelines, and/or similar integration tools. Candidates must meet ...

Data Solutions Analyst

Seattle, WA · On-site

$67K - $126K/yr

Conduct data analysis and contribute to the design of solutions that support critical business ... Python, Perl, Shell), and the Hadoop stack About Us Pay Philosophy: The typical starting salary ...

... for analytics and marketing and a proven ability to translate complex data into actionable insights that drive business impact. Top 3 must have skills: Python 4-5 years Data Modeling 3 years ...

Conduct data analysis and contribute to the design of solutions that support critical business ... Python, Perl, Shell), and the Hadoop stack About Us Pay Philosophy: The typical starting salary ...

... analysis to inform data driven decisions using tools such as R, Python, or Excel; 4. developing automated reporting using advanced MS Excel skills including but not limited to macros and erlang ...

for Lead Data Analyst Contractor Position - Client's Project GENERAL SUMMARY Under the specific ... Utilize tools such as SQL, Python/R, Power BI, Tableau, or similar platforms for analysis and ...

Advanced proficiency with Python for data analysis * Must be fluent in either keras or tensorflow * Experience with large data sets (10 million+ rows) * Ability to convey rigorous mathematical ...

Python AI/ML Developer

Seattle, WA · On-site

$57.25 - $78.75/hr

... data pipelines, intelligent automation, and analytics use cases. • Support integration of machine learning models or GenAI services into enterprise applications. • Develop reusable Python ...

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Python Data Analysis information

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How much do python data analysis jobs pay per hour?

As of Jul 4, 2026, the average hourly pay for python data analysis 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 is a Python Data Analysis job?

A Python Data Analysis job involves using Python programming to collect, clean, analyze, and visualize data for insights and decision-making. Professionals in this role use libraries like Pandas, NumPy, and Matplotlib to manipulate datasets and perform statistical analysis. They may work in various industries, solving business problems, identifying trends, and supporting data-driven strategies. Strong programming skills, data wrangling expertise, and knowledge of analytical techniques are essential for success in this field.

What are the key skills and qualifications needed to thrive in the Python Data Analysis position, and why are they important?

To thrive in a Python Data Analysis role, you need strong proficiency in Python programming, statistical analysis, and data wrangling, often backed by a degree in computer science, mathematics, or a related field. Familiarity with tools such as Pandas, NumPy, Jupyter Notebook, and visualization libraries like Matplotlib or Seaborn, along with potential certifications in data analysis or Python, is highly valuable. Analytical thinking, attention to detail, and effective communication help translate complex data findings into actionable insights for stakeholders. These capabilities are crucial for transforming raw data into meaningful information that supports business decision-making.

What are the typical responsibilities of someone working in Python Data Analysis?

Professionals in Python Data Analysis are usually responsible for collecting, cleaning, and analyzing datasets to uncover trends and inform business strategies. Their daily tasks often include writing Python scripts, visualizing data, conducting statistical analyses, and preparing reports that summarize their findings for both technical and non-technical audiences. Collaboration with data engineers, business analysts, and project managers is common, ensuring that data solutions align with organizational goals. This role offers opportunities to build expertise in specialized areas, such as machine learning or business intelligence, and can lead to career advancement in data science or analytics leadership positions.

What are the most commonly searched types of Python Data Analysis jobs in Seattle, WA? The most popular types of Python Data Analysis jobs in Seattle, WA are:
What are popular job titles related to Python Data Analysis jobs in Seattle, WA? For Python Data Analysis jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Python Data Analysis jobs in Seattle, WA look for? The top searched job categories for Python Data Analysis jobs in Seattle, WA are:
What cities near Seattle, WA are hiring for Python Data Analysis jobs? Cities near Seattle, WA with the most Python Data Analysis job openings:

Senior Data Architect

Laird Norton Wetherby

Seattle, WA • On-site, Remote

$76.50 - $102.50/hr

Full-time

Medical, Dental, Vision, Retirement

Posted 9 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
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