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Data Science Software Engineer Jobs in Seattle, WA

1 point system

AI Data Engineer

Redmond, WA · On-site

$128K - $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 ...

Skill Corp

AI Data Engineer 3

Redmond, WA · On-site +1

$132.87/hr

Bachelor's Degree in Computer Science, Software Engineering, Computer Engineering, or a related field AND 4+ years of experience in analytics engineering, data engineering, data science, data analyst ...

Aquent

AI Data Engineer 3

Redmond, WA · On-site

$74.74 - $83.04/hr

Bachelor's Degree in Computer Science, Software Engineering, Computer Engineering, or a related field AND 4+ years of experience in analytics engineering, data engineering, data science, data ...

Aquent

AI Data Engineer 3

Redmond, WA · On-site

$74.74 - $83.04/hr

Bachelor's Degree in Computer Science, Software Engineering, Computer Engineering, or a related field AND 4+ years of experience in analytics engineering, data engineering, data science, data analyst ...

Aquent Talent

AI Data Engineer 3 [209775]

Redmond, WA · On-site +1

$74.74 - $83.04/hr

Bachelor's Degree in Computer Science, Software Engineering, Computer Engineering, or a related field AND 4+ years of experience in analytics engineering, data engineering, data science, data analyst ...

Microsoft

Sr Data Engineer

Redmond, WA · On-site

$118K - $161K/yr

Master's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 3+ years experience in business analytics, data science, software development, data ...

krg technology inc

Data Engineer

Redmond, WA · On-site

$128K - $154K/yr

... scientists, software engineers, data architects Additional Information All your information will be kept confidential according to EEO guidelines.

Cognitiv

Software Engineer, Big Data

Bellevue, WA · Hybrid

$129K - $155K/yr

Since 2015, we have harnessed the power of cutting-edge deep learning technology and data science ... The Role This Software Engineer, Big Data is accountable for building and scaling high-performance ...

Amazon

Data Engineer, PXT Central Science

Seattle, WA · On-site

$130K - $156K/yr

Partner with economics, data science, and software engineering teams to translate analytical requirements into production-ready solutions; participate in technical design reviews and architecture ...

Statsig

Software Engineer- Data(FUTURE ROLES)

Bellevue, WA

$129K - $155K/yr

The data team is roughly 8-10 individuals, and you'll be closely working with other data platform engineers, data scientists, and other software engineering teams. The product we offer is based on ...

Cognitiv

Software Engineer, Big Data

Bellevue, WA · On-site

$63 - $83.25/hr

Since 2015, we have harnessed the power of cutting-edge deep learning technology and data science ... The Role This Software Engineer, Big Data is accountable for building and scaling high-performance ...

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Showing results 1-20

All JobsData Science Software Engineer JobsData Science Software Engineer Jobs in Seattle, WA

Data Science Software Engineer information

See Seattle, WA salary details

$50.7K

$147.7K

$202.1K

How much do data science software engineer jobs pay per year?

As of Jun 9, 2026, the average yearly pay for data science software engineer in Seattle, WA is $147,704.00, according to ZipRecruiter salary data. Most workers in this role earn between $130,400.00 and $156,600.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Data Science Software Engineer, and why are they important?

To thrive as a Data Science Software Engineer, you need strong proficiency in programming (especially Python or R), a solid understanding of statistics and algorithms, and typically a degree in computer science, data science, or a related field. Familiarity with machine learning frameworks (such as TensorFlow or scikit-learn), data processing tools (like Spark or Hadoop), and cloud platforms (AWS, GCP, or Azure) is essential, as are relevant certifications. Excellent problem-solving abilities, communication skills, and the ability to work collaboratively with cross-functional teams set top performers apart. These competencies are vital for efficiently developing scalable data-driven solutions that drive business insights and innovation.

How does a Data Science Software Engineer typically collaborate with data scientists and other stakeholders on projects?

Data Science Software Engineers play a vital role in bridging the gap between data science and software engineering teams. They work closely with data scientists to translate prototypes and models into scalable, production-ready code, and often collaborate with product managers, analysts, and infrastructure engineers to ensure seamless integration. Regular communication and code reviews are essential, as is an iterative development process to address feedback and ensure solutions meet both technical and business requirements. This cross-functional collaboration helps deliver robust data-driven applications that align with organizational goals.

What is a Data Science Software Engineer?

A Data Science Software Engineer is a professional who combines software engineering skills with data science expertise to build scalable data-driven systems and applications. They design, develop, and optimize software that supports data pipelines, machine learning models, and analytics platforms. Their work bridges the gap between data scientists, who focus on statistical analysis and modeling, and traditional software engineers, who focus on building robust and efficient software systems. Data Science Software Engineers ensure that data solutions are production-ready, scalable, and maintainable.

What is the difference between Data Science Software Engineer vs Data Analyst?

AspectData Science Software EngineerData Analyst
Required SkillsProgramming, software development, machine learningData visualization, statistical analysis, reporting
Work EnvironmentSoftware development teams, engineering projectsBusiness units, reporting teams
Common ToolsPython, Java, SQL, ML frameworksExcel, Tableau, SQL, R
Industry UsageTech, finance, healthcare, startupsMarketing, finance, retail, research

While both roles analyze data, Data Science Software Engineers focus on developing software solutions and machine learning models, requiring strong programming skills. Data Analysts primarily interpret data through visualization and statistical methods to support business decisions. The roles often overlap but serve different functions within organizations.

What are popular job titles related to Data Science Software Engineer jobs in Seattle, WA? For Data Science Software Engineer jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Data Science Software Engineer jobs in Seattle, WA look for? The top searched job categories for Data Science Software Engineer jobs in Seattle, WA are:
Data Science Software Engineer jobs near you

AI Data Engineer

1 point system

Redmond, WA • On-site

$128K - $154K/yr

Contractor

Posted 6 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.