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Contract Python Data Analysis Jobs in Bellevue, WA

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.

Proficiency in analytical tools and programming languages such as SQL, Python. * Experience with data visualization tools like Tableau, Power BI, or similar platforms. * Must be able to commit to a ...

Proficiency in analytical tools and programming languages such as SQL, Python. * Experience with data visualization tools like Tableau, Power BI, or similar platforms. * Must be able to commit to a ...

Senior Data Analyst

Seattle, WA · On-site

$114K - $196K/yr

Strong hands-on experience using Python or R for data analysis, data manipulation, and automation. * Proven experience designing data models and building dashboards in enterprise BI tools (e.g ...

Senior Data Analyst

Seattle, WA · On-site

$97K - $123K/yr

Strong hands-on experience using Python or R for data analysis, data manipulation, and automation. * Proven experience designing data models and building dashboards in enterprise BI tools (e.g ...

Senior Data Analyst

Seattle, WA · On-site

$114K - $196K/yr

Strong hands-on experience using Python or R for data analysis, data manipulation, and automation. * Proven experience designing data models and building dashboards in enterprise BI tools (e.g ...

AI Data Engineer

Redmond, WA · On-site

$128K - $154K/yr

... WA 98052-Hybrid Contract W2 Top 3 Must-Have Hard Skills 1. Reporting & Analytics - 5+ Years ... Strong programming skills in Python, C#, and PowerShell. * Experience with AI-assisted engineering ...

Data Scientist

Renton, WA · On-site

$104.10 - $146.63/hr

Support the development of other data analysts by leading technical trainings on SQL, Python, Tableau, and/or data analysis. * Demonstrate strong analytical skills, excellent general business acumen ...

Essential Functions: • Statistical modeling and analysis of a variety of data sources including ... Python, or Julia required. • Proficiency with SQL preferred. • Track record of original ...

Data Engineer

Seattle, WA · On-site

$130K - $156K/yr

... and Python. * Data pipeline tooling and cloud data services experience (Azure Data Factory, Azure Databricks, Azure Event Hubs, SSIS). * Data warehousing experience (Azure Synapse Analytics) and ...

Data Engineer

Bellevue, WA · On-site

$129K - $155K/yr

ANSI-SQL, Azure BLOB, Azure Data Factory, AZURE DATA LAKE, Azure Functions, Azure SQL, Azure Synapse Analytics, Databricks, Java, Python, Scala, Snowflake

Analytics Analyst III

Auburn, WA · On-site

$40 - $50/hr

Contract salary: $40 - 50 per hour work hours: 8am to 5pm education: Bachelors responsibilities ... Hands-on programming experience using R or Python for actuarial modeling or data analysis. * Must ...

Data Engineer

Bellevue, WA · On-site

$128K - $154K/yr

ANSI-SQL • Azure BLOB • Azure Data Factory • AZURE DATA LAKE • Azure Functions • Azure SQL • Azure Synapse Analytics • Databricks • Java • Python • Scala • Snowflake Company

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How much do contract python data analysis jobs pay per hour?

As of Sep 3, 2026, the average hourly pay for contract python data analysis in Bellevue, WA is $66.16, according to ZipRecruiter salary data. Most workers in this role earn between $54.52 and $75.14 per hour, depending on experience, location, and employer.

What is a contract Python data analysis job?

Contract Python Data Analysis jobs involve working on a temporary or project-based basis to analyze and interpret data using Python programming. Professionals in these roles use Python libraries such as pandas, NumPy, and matplotlib to clean, process, and visualize data for clients or organizations. They may be hired for short-term projects to deliver insights, build reports, or automate data workflows, often collaborating remotely or on-site. Contract positions offer flexibility and the opportunity to work with various industries and datasets.

What are the key skills and qualifications needed to thrive as a contract Python data analyst?

To thrive as a Contract Python Data Analyst, you need strong analytical skills, proficiency in Python programming, and a solid understanding of statistics and data manipulation, often supported by a relevant degree or proven experience. Familiarity with tools such as pandas, NumPy, SQL databases, and data visualization libraries is typically required. Excellent problem-solving, communication, and time management skills help you deliver actionable insights and collaborate effectively with stakeholders. These abilities are essential for extracting, interpreting, and presenting data-driven solutions that support business objectives in a contract-based environment.

What are some common challenges faced by contract Python data analysts, and how can they be addressed?

Contract Python Data Analysts often face challenges such as quickly adapting to new data environments, understanding project-specific requirements, and integrating with existing teams on a temporary basis. To address these, it's important to have strong communication skills, be proactive in clarifying expectations early on, and familiarize yourself with the company's data infrastructure and tools as soon as possible. Additionally, maintaining organized and well-documented code helps ensure smooth handovers and collaboration with other team members.

What is the difference between Contract Python Data Analysis vs Contract Data Scientist?

AspectContract Python Data AnalysisContract Data Scientist
Required SkillsPython, SQL, data visualization, basic statistical analysisPython, R, machine learning, statistical modeling, data visualization
Work EnvironmentProject-based, client sites or remote, short-term contractsConsulting firms, tech companies, research projects, often longer-term
Industry UsageFinance, marketing, healthcare, retailTech, finance, healthcare, academia

Contract Python Data Analysts focus on data cleaning, visualization, and basic analysis using Python, suitable for short-term projects. Contract Data Scientists typically handle advanced modeling, machine learning, and statistical analysis, often requiring broader skill sets. Both roles are in high demand but differ in complexity and scope.

What are the most commonly searched types of Python Data Analysis jobs in Bellevue, WA?

The most popular types of Python Data Analysis jobs in Bellevue, WA are:

What are popular job titles related to Contract Python Data Analysis jobs in Bellevue, WA?

For Contract Python Data Analysis jobs in Bellevue, WA, the most frequently searched job titles are:

What job categories do people searching Contract Python Data Analysis jobs in Bellevue, WA look for?

The top searched job categories for Contract Python Data Analysis jobs in Bellevue, WA are:

What cities near Bellevue, WA are hiring for Contract Python Data Analysis jobs?

Cities near Bellevue, WA with the most Contract Python Data Analysis job openings:

Infographic showing various Contract Python Data Analysis job openings in Bellevue, WA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $137,618 per year, or $66.2 per hour.

Quantitative Analysis Data Science Support

Think Tank, Inc.

Seattle, WA

Full-time

Re-posted 26 days ago


Job description

*Position is Subject to Contract Award

POSITION DESCRIPTION:

Description of Duties:

  • Analyze spatial and temporal variability in abundance and composition of fish, their prey, competitors, predators, and habitats.
  • Analyze and generate relationships between fish responses (e.g., density, biomass, growth, survival) and stressors (environmental/ecological conditions, habitat metrics, management actions) in particular life stages.
  • Contribute statistical and spatial analysis expertise to construction and implementation of fish life cycle (stock assessment) models and simulations evaluating cumulative effects across life cycles - with emphasis on ecological interactions (predators, prey) and expanding model complexity in estuary and nearshore domains.
  • Share comprehensive workflow protocols and research products.
  • Write reports, contribute to journal manuscripts, and present results at regional and national meetings and scientific conferences, as needed.

EDUCATION & EXPERIENCE:

Required:

  • Education: Doctorate from an accredited college/university with an emphasis in a field related to the task order, including geomorphology, oceanography, hydrology, fisheries, ecology, natural sciences, mathematics, and/or statistics.
  • Experience: Five (5) or more years of relevant experience, including familiarity with the species and habitats managed by NOAA Fisheries in the West Coast region.

Desired:

  • Advanced degree in a related field - may substitute for two (MS) or four (PhD) years of experience.

CERTIFICATIONS:

Required:

  • Valid U.S. driver's license - required and maintained throughout the period of performance.
  • Public trust suitability; background investigation cleared prior to beginning performance.
  • Government-required training to be completed within 5 business days of start: NOAA IT Security, NOAA Safety, Sexual Assault/Sexual Harassment Prevention & Response (NAM 1330-52.222-70(b)(6)), and Records Management 101.

RESPONSIBILITIES:

Required (Deliverables):

  • Reproducible workflows documented; computer scripts and methods shared in an open-source framework such as GitHub.
  • Analysis products stored in an accessible, organized way; data and models shared via collaborative scientific platforms and public research repositories.
  • Written status reports and other ad hoc communications as needed.

SKILLS:

Required:

  • Strong quantitative skills including familiarity with modeling and data analysis; familiarity with software such as R, Python, GitHub and GIS, and with open-science concepts.
  • Excellent verbal and written communication; experience writing reports and publishing peer-reviewed articles.
  • Ability to manage workload, stay organized, and produce high-quality work efficiently; able to work independently and on interdisciplinary teams.