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Computer Science Data Science Jobs in Seattle, WA

AI Data Engineer

Redmond, WA · On-site

$128.20K - $154K/yr

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 ...

Required : • Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field • OR Master's Degree in Data Science, Mathematics ...

Required : • Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field • OR Master's Degree in Data Science, Mathematics ...

Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field * OR Master's Degree in Data Science, Mathematics, Statistics ...

D.) in Data Science, Computer Science, Statistics, Engineering, or a related quantitative field. * 8+ years of experience in Data Science, Machine Learning, Advanced Analytics, or related technical ...

D.) in Data Science, Computer Science, Statistics, Engineering, or a related quantitative field. * 8+ years of experience in Data Science, Machine Learning, Advanced Analytics, or related technical ...

As a Senior Data Scientist, you will develop, validate, and deploy scalable data models that drive ... Required : • Bachelor's degree in Statistics, Economics, Analytics, Mathematics, Computer Science ...

Currently in the process of obtaining, a Bachelors/MS degree in Computer Science, Information ... Experience with data visualization tools such as Tableau, Power BI, or similar * Experience with ...

Currently in the process of obtaining, a Bachelors/MS degree in Computer Science, Information ... Experience with data visualization tools such as Tableau, Power BI, or similar * Experience with ...

Data Scientist

Seattle, WA · On-site +1

$192K - $288K/yr

... or foreign equivalent in Computer Science, Business Analytics, Statistics, or a related ... Data Scientist or related occupation. * 3 years of experience building ETL data transformation ...

Data Scientist

Seattle, WA · On-site

$192K - $288K/yr

... or foreign equivalent in Computer Science, Business Analytics, Statistics, or a related ... Data Scientist or related occupation. * 3 years of experience building ETL data transformation ...

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Computer Science Data Science information

See Seattle, WA salary details

$42.7K

$139.7K

$223.6K

How much do computer science data science jobs pay per year?

As of Jun 1, 2026, the average yearly pay for computer science data science in Seattle, WA is $139,680.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,100.00 and $154,800.00 per year, depending on experience, location, and employer.
What are popular job titles related to Computer Science Data Science jobs in Seattle, WA? For Computer Science Data Science jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Computer Science Data Science jobs in Seattle, WA look for? The top searched job categories for Computer Science Data Science jobs in Seattle, WA are:
Infographic showing various Computer Science Data Science job openings in Seattle, WA as of May 2026, with employment types broken down into 1% As Needed, 80% Full Time, 15% Part Time, and 4% Contract. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution, with an average salary of $139,680 per year, or $67.2 per hour.

AI Data Engineer

1 point system

Redmond, WA • On-site

$128.20K - $154K/yr

Contractor

Posted 27 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.