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Commission Python Data Analysis Jobs in Seattle, WA

1 point system

AI Data Engineer

Redmond, WA · On-site

$128.20K - $154K/yr

Python 4-5 years * Data Modeling 3 years * Marketing 2 years Responsibilities * Build subject ... Identify and analyse multi-structured data or metadata from a variety of sources to select and ...

TEKsystems

Data Scientist

Seattle, WA · Hybrid

$60 - $65/hr

Perform analysis using SQL and Python on large datasets * Partner cross-functionally to define metrics and measure impact Must-Have Qualifications * 3-5+ years of data science or analytics experience

Avante

Senior Data Engineer

Seattle, WA · Hybrid

$170K - $210K/yr

... and internal analysis. You'll work across the full data lifecycle - from ingestion and ... Python data pipelines that are reliable, testable, and observable - Orchestrate workflows using ...

Amazon

Data Scientist, WW Ops FP&A

Bellevue, WA · On-site

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 ...

Avante

Senior Data Engineer

Seattle, WA · On-site

$170K - $210K/yr

... and internal analysis. You'll work across the full data lifecycle - from ingestion and ... Build and architect Python data pipelines that are reliable, testable, and observable * Orchestrate ...

iSpot

Research Data Scientist 1

Bellevue, WA · Remote

$95.95K - $106K/yr

Data Analysis and Modeling: Conduct in-depth data analysis and build advanced statistical models to ... Advanced user in several quantitative software tools, particularly Python, R, and/or SQL ...

iSpot

Research Data Scientist 1

Bellevue, WA · On-site

$95.95K - $106K/yr

Data Analysis and Modeling: Conduct in-depth data analysis and build advanced statistical models to ... Advanced user in several quantitative software tools, particularly Python, R, and/or SQL ...

Amazon

Business Analyst II - AMZ10118786

Seattle, WA · On-site

$94.40K - $130.10K/yr

... 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 ...

F5, Inc.

Data Scientist II

Seattle, WA · On-site +1

$121.60K - $182.40K/yr

... analysis. Using Python to clean and process the network data, engineer transaction features, and extract key information from unstructured data; identify false positives and missed automated traffic ...

Amazon

Data Scientist II, Amazon Business

Seattle, WA · On-site

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 ...

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All JobsCommission Python Data Analysis JobsCommission Python Data Analysis Jobs in Seattle, WA

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Commission Python Data Analysis jobs near you
Infographic showing various Commission Python Data Analysis job openings in Seattle, WA as of May 2026, with employment types broken down into 83% Full Time, 10% Part Time, 2% Temporary, and 5% Contract. Highlights an 70% Physical, 5% Hybrid, and 25% Remote job distribution.

AI Data Engineer

1 point system

Redmond, WA • On-site

$128.20K - $154K/yr

Contractor

Posted 26 days ago

Job description

Candidate Requirements

Disqualifiers: Repetitive, overly long, or generic or keyword heavy resumes that lack context on impact or outcomes (ex, just listing tools/tech without explaining business value) will likely be disqualified

Best vs. Average: The ideal resume would contain resumes that clearly demonstrate how their work drives business impact (ex. improved performance, enabled decision making, supported marketing or product outcomes) and show strong critical thinking and problem solving in how they present their experience.

Top 3 Must-Have HARD Skills & years of experience for each:   

  1. Python 4-5 years
  2. Data Modeling 3 years
  3. Marketing 2 years

Responsibilities

  • Build subject matter expertise of our business and data domains to collaborate with data consumers and stakeholders to understand their information needs and assist them with data access.
  • Identify and analyse multi-structured data or metadata from a variety of sources to select and document the most effective and accurate data which fulfils the analytics requirements.
  • Design data models, architect dataflows, and develop abstractions to deliver scalable solutions for analytics and machine learning ensuring they can evolve with changing needs.
  • Leverage modern data engineering practices and frameworks with an object-oriented approach to architect, build, and maintain automated data pipelines which transform data into clean, enriched, and accurate information.
  • Advance our infrastructure by developing frameworks, reusable components and new capabilities to achieve our mission.
  • Enable the Franchise performance marketing strategy through the development of relevant and robust data products.

 

Required Qualifications

  • Bachelor's Degree in Computer Science, Software Engineering, Computer Engineering, or related field AND 4+ years’ experience in analytics engineering, data engineering, data science, data analyst, or related software development work
  • Master's Degree in Computer Science, Software Engineering, Computer Engineering, or related field AND 3+ years’ experience in analytics engineering, data engineering, data science, data analyst, or related software development work
  • OR equivalent experience.
  • 2+ years working as an Analytics Engineer or Data Engineer with regular business collaboration or equivalent on large enterprise systems.
  • Experience building, maintaining and optimizing enterprise scale data pipelines handling logs and event streaming data on Cloud Data Platforms using modern tools like Spark, and airflow; Azure preferred.
  • Proficiency with SQL; Advanced skills with Python for data transformation and automation

 

Preferred Qualifications

  • Critical thinker and problem solver who brings a creative and open mindset.
  • A proven track record building and optimizing analytic solutions and data products which deliver significant business impact.
  • Data analysis and exploration skills to identify, select and prepare data for analytics.
  • Business acumen to address business challenges through analytics engineering.
  • Experience building, maintaining and optimizing enterprise scale data pipelines handling logs and event streaming data on Cloud Data Platforms using modern tools like Spark, and airflow; Azure preferred.
  • Working knowledge of DevOps and DataOps.