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Python Analytics Jobs in Seattle, WA (NOW HIRING)

Sr. Python Developer

Bellevue, WA

$136K - $183K/yr

I'm looking for a Sr. Python Developer with 7 to 10 years of experience with expertise in design and development of large-scale data analytic applications using either Python or R languages.

Sr. Python Developer

Bellevue, WA · On-site

$136K - $183K/yr

I'm looking for a Sr. Python Developer with 7 to 10 years of experience with expertise in design and development of large-scale data analytic applications using either Python or R languages.

Python developer (data engineering)

Seattle, WA · On-site

$57.25 - $78.75/hr

Python, Django Frontend: Angular, React Ability to design and implement RESTful APIs and integrate ... Collaboration Work closely with data scientists, analysts, and stakeholders to deliver data ...

Test Lead/ Python Developer

Redmond, WA · On-site

$156K - $192K/yr

... analyzers, etc. b. The QCoDeS drivers will provide the abstraction layer allowing other scripts to ... Python Programming Language (P3 - Advanced) | 3 - System Defect Management (P3 - Advanced) | 4 - ...

Sr. Software Developer in Test

Kirkland, WA · On-site

$56.75 - $73.25/hr

Design and implement automated tests for UI (Selenium) and REST APIs using Python * Analyze product requirements and specifications to create detailed test scenarios and automation suites * Integrate ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary ... Python and SQL - Experience with Docker and containerized deployments - Skilled in AI techniques ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Director & Summary ... is a plus - Proficient in Python and structured/unstructured data - Proficient in SQL and ...

Strong proficiency in Python and SQL. * Excellent problem-solving skills and the ability to work ... Proven ability to analyze business requirements and translate them into code. * Experience building ...

Basic familiarity with programming languages (for example Python, R, or Visual Basic) * Familiarity ... Excellent analytical / problem-solving skills * Competent interpersonal and communication skills ...

Python experience is a bonus. * Experience with e-commerce, omni-channel, or retail data (catalog ... Experience applying advanced analytics concepts (experiment design, A/B testing, statistics, etc ...

Gen AI Developer

Seattle, WA · On-site

$57.25 - $78.75/hr

... Python. • Strong analytical and problem-solving skills. Roles & Responsibilities Qualifications: • Bachelor's or master's degree in computer science, data science or equivalent • Develop and ...

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Showing results 1-20

Python Analytics information

See Seattle, WA salary details

$15

$66

$98

How much do python analytics jobs pay per hour?

As of Aug 27, 2026, the average hourly pay for python analytics 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 Analytics professional?

A Python Analytics professional is someone who uses the Python programming language to collect, process, analyze, and interpret data in order to help organizations make data-driven decisions. They often work with large datasets, perform statistical analyses, create data visualizations, and build predictive models. These professionals may work in industries such as finance, healthcare, marketing, or technology, and typically use libraries like Pandas, NumPy, and Matplotlib. Their work helps businesses gain insights, optimize processes, and solve complex problems through data.

What are the key skills and qualifications needed to thrive as a Python Analytics professional?

To thrive as a Python Analytics professional, you need a strong background in statistics, data analysis, and proficiency in Python programming, often supported by a degree in computer science, mathematics, or a related field. Familiarity with data analytics libraries (such as pandas, NumPy, and scikit-learn), data visualization tools, and experience with databases are typically required. Strong problem-solving, communication, and critical thinking skills help in interpreting data and conveying insights to stakeholders. These abilities are crucial for turning complex data into actionable business decisions and driving organizational success.

What are some typical challenges faced by professionals in Python Analytics roles, and how can I prepare for them?

Professionals in Python Analytics roles often encounter challenges such as handling large and complex datasets, ensuring data quality, and communicating insights effectively to non-technical stakeholders. To prepare, it's beneficial to strengthen your skills in data cleaning, visualization libraries (like Matplotlib or Seaborn), and learn best practices for writing efficient, reproducible code. Collaborating closely with data engineers, business analysts, and decision-makers is also a key part of the job, so developing strong communication and teamwork abilities will help you succeed.

What is the difference between Python Analytics vs Data Analyst?

AspectPython AnalyticsData Analyst
Required SkillsPython programming, data manipulation, statistical analysisExcel, SQL, basic statistics
CertificationsPython certifications, data analysis coursesNone typically required, but certifications like CAP or Microsoft certifications are common
Work EnvironmentData science teams, analytics departments, tech companiesBusiness units, marketing, finance, consulting firms
ToolsPython libraries (Pandas, NumPy, scikit-learn)Excel, SQL, Tableau, Power BI

Python Analytics involves using Python programming to perform advanced data analysis, modeling, and automation, often requiring coding skills. Data Analysts focus on interpreting data using tools like Excel and SQL, providing reports and insights. While both roles analyze data, Python Analytics typically involves more technical and programming expertise, making it suitable for complex data projects and predictive modeling.

What does a Python analytics do?

A Python analytics professional uses Python programming to analyze data, develop models, and generate insights for decision-making. They often work with data analysis libraries like pandas and NumPy, and may create visualizations or automate data processes. Strong programming skills and understanding of statistical methods are essential for this role.

What is the salary of Python analytics?

The salary for a Python analytics role typically ranges from $70,000 to $120,000 annually, depending on experience, location, and industry. Professionals with strong skills in data analysis, machine learning, and proficiency in tools like Pandas and NumPy tend to earn higher salaries.
Infographic showing various Python Analytics job openings in Seattle, WA as of August 2026, with employment types broken down into 1% Internship, 90% Full Time, 5% Part Time, and 4% Contract. Highlights an 81% Physical, 6% Hybrid, and 13% Remote job distribution, with an average salary of $138,762 per year, or $66.7 per hour.

Sr. Python Developer

Bellevue, WA

Zen3 Infosolutions
1 - 5K employees

$136K - $183K/yr

Full-time

Re-posted 3 days ago


Job description

Company Description

Blueprint is a technology solutions firm that helps companies accelerate their success through digital transformation

Job Description

Fulltime position with Blueprint in Bellevue:

I'm looking for a Sr. Python Developer with 7 to 10 years of experience with expertise in design and development of large-scale data analytic applications using either Python or R languages. Expertise in using C# and .NET is a plus to develop middle-tier applications (APIs) with experience in UX partners and SQL.

Qualifications

         7 to 10 years of expertise in design and development of large-scale data analytic applications using either Python

         or R languages

         Expertise in using C# and .NET is a plus to develop middle-tier applications (APIs) with experience in UX partners

         integration

         Excellent design, coding, testing, problem solving, and debugging skills.

         Previous Microsoft experience is a plus.

         Strong Python experience will be good.

         SQL experience

Additional Information

All your information will be kept confidential according to EEO guidelines.