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Data Science Software Engineer Jobs in Seattle, WA

Bachelor's degree in Computer Science, Software Engineering, Computer Engineering, Information ... Reviewing data specifications and handling large-scale data storage and distribution using ...

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.

Director, Data Science

Seattle, WA · On-site

$201K - $281K/yr

The Director, Data Science provides strategic and operational leadership for MCG's Data Science ... engineering productivity and software quality preferred. Pay Range: $201,000 - $281,600 Other ...

Staff Software Engineer, Data

Seattle, WA · On-site

$175K - $400K/yr

We are seeking a highly experienced principal software engineer, data to design and implement a ... Bachelor's or Master's degree in Computer Science, Engineering, or a related field. * 7+ years of ...

Staff Software Engineer, Data

Seattle, WA · On-site

$130K - $156K/yr

We are seeking a highly experienced principal software engineer, data to design and implement a ... Bachelor's or Master's degree in Computer Science, Engineering, or a related field. * 7+ years of ...

Showing results 21-40

Data Science Software Engineer information

See Seattle, WA salary details

$50.6K

$147.6K

$202K

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

As of Sep 3, 2026, the average yearly pay for data science software engineer in Seattle, WA is $147,618.00, according to ZipRecruiter salary data. Most workers in this role earn between $130,300.00 and $156,500.00 per year, depending on experience, location, and employer.

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 are the key skills and qualifications needed to thrive as a data science software engineer?

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 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:

Infographic showing various Data Science Software Engineer job openings in Seattle, WA as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $147,618 per year, or $71 per hour.

Software Engineer - Data Processing

Socket.dev

Seattle, WA • On-site

$110 - $145/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 16 days ago


Key responsibilities

  • Build large scale distributed systems, and data pipeline and ETL solutions.

  • Contribute to all stages of the Software Development Lifecycle, including design, implementation, testing, deployment, operations, and performance.

  • Collaborate with cross-functional teams including product managers, clinical informaticists, architects, and other engineers.


Job description

Software Engineer - Data Processing

Truveta is the world’s first health provider led data platform with a vision of Saving Lives with Data. Our mission is to enable researchers to find cures faster, empower every clinician to be an expert, and help families make the most informed decisions about their care. Achieving Truveta’s ambitious vision requires an incredible team of talented and inspired people with a special combination of health, software and big data experience who share our company values.

This position is based out of our headquarters in the Greater Seattle area. #LI-hybrid

Who We Need

In this position, you will be designing and implementing data processing pipeline, building large scale data processing platforms, and solving complex distributed data issues. This opportunity requires creative problem solving within the guidelines permitted by law as well as implementing and supporting systems capable of processing healthcare data at unprecedented scale.

Responsibilities
  • Build large scale distributed systems, and data pipeline and ETL solutions.
  • Hands on contribution to all stages of the Software Development Lifecycle (e.g., Design, Implementation, Testing, Deployment, Operations, Performance).
  • Collaborate with cross-functional teams including product managers, clinical informaticist, architects, and other engineers.
  • Innovate using strong problem-solving skills and ability to learn quickly in the healthcare domain.
Key Qualifications
  • Bachelor’s degree in Computer Science, Software Engineering, Computer Engineering, Information Systems, or a related field (advanced degree a plus)
  • 3+ years of professional software engineering experience, including:
  • Designing, building, and operating distributed systems at scale
  • Writing production-quality, efficient, multi-threaded code that runs reliably in cloud environments
  • Reviewing data specifications and handling large-scale data storage and distribution using specialized protocols
  • Debugging and resolving complex production issues in distributed systems
  • Proven experience with cloud-native architectures and DevOps practices (preferably Azure, though AWS/GCP experience is relevant)

Why Truveta?

Be a part of building something special. Now is the perfect time to join Truveta. We have strong, established leadership with decades of success. We are well-funded. We are building a culture that prioritizes people and their passions across personal, professional, and everything in between. Join us as we build an amazing company together.

We Offer:
  • Interesting and meaningful work for every career stage
  • Great benefits package
  • Comprehensive benefits with strong medical, dental and vision insurance plans
  • 401K plan
  • Professional development & training opportunities for continuous learning
  • Work/life autonomy via flexible work hours and flexible paid time off
  • Generous parental leave
  • Regular team activities (virtual and in-person)
  • The base pay for this position is $110,000 to $145,000. The pay range reflects the minimum and maximum target. Pay is based on several factors including location and may vary depending on job-related knowledge, skills, and experience. Certain roles are eligible for additional compensation such as incentive pay and stock options.

If you are based in California, we encourage you to read this important information for California residents linked here.

Truveta is committed to creating a diverse, inclusive, and empowering workplace. We believe that having employees, interns, and contractors with diverse backgrounds enables Truveta to better meet our mission and serve patients and health communities around the world. We recognize that opportunities in technology historically excluded and continue to disproportionately exclude Black and Indigenous people, people of color, people from working class backgrounds, people with disabilities, and LGBTQIA+ people. We strongly encourage individuals with these identities to apply even if you don’t meet all of the requirements.

Please note that all applicants must be authorized to work in the United States for any employer as we are unable to sponsor work visas or permits (e.g. F-1 OPT, H1-B) at this time. We appreciate your interest in the position and encourage you to explore future opportunities with us.

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