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Data Science Software Engineer Jobs in Seattle, WA

Microsoft

Data Engineer

Redmond, WA · On-site

$128K - $154K/yr

Qualifications Required/minimum qualifications Master's Degree in Computer Science, Math, Software ... Experience supporting Data Engineering, Analytics, AI, or Business Intelligence environments.

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 ...

ExtraHop

Principal Software Engineer | Data Science

Seattle, WA · On-site +1

$153K - $206K/yr

We seek a Principal Software Engineer to join our product development organization and serve as a ... Collaborate with data scientists, threat researchers, and cloud teams to build high-performance ...

Microsoft

Senior Data Engineer

Redmond, WA · On-site

$160K - $261K/yr

Qualifications Required/minimum qualifications Master's Degree in Computer Science, Math, Software ... Data Engineering IC4 - The typical base pay range for this role across the U.S. is USD $119,800 ...

Constellation Space

Software Engineer

Seattle, WA · On-site

$120K - $180K/yr

Develop data ingestion pipelines capable of handling high-throughput, low-latency flight data ... S. in Computer Science, Software Engineering, or related discipline. * 3+ years of professional ...

Moloco

Senior Software Engineer - Applied Data

Seattle, WA

$139K - $183K/yr

You'll work closely with Product, ML, and Data Science teams to enable feature engineering ... software engineering experience with one or more modern languages (Java, Kotlin, Go, C++, C#, or ...

Microsoft

Senior Software Engineer

Redmond, WA · On-site

$158K - $258K/yr

OR equivalent experience. * 3+ years experience in business analytics, data science, software development, data modeling or data engineering work * Solid experience with data processing frameworks ...

SpaceX

Sr. Software Engineer, Data (Starlink)

Redmond, WA · On-site

$160K - $270K/yr

Bachelor's degree in computer science, data science, engineering, math, physics, or scientific discipline; OR 7+ years of professional experience building software in lieu of a degree * 5+ years of ...

SpaceX

Sr. Software Engineer, Data (Starlink)

Redmond, WA · On-site

$160K - $270K/yr

Bachelor's degree in computer science, data science, engineering, math, physics, or scientific discipline; OR 7+ years of professional experience building software in lieu of a degree * 5+ years of ...

Truveta

Software Engineer - Data Processing

Seattle, WA · On-site +1

$110K - $145K/yr

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

Truveta

Software Engineer - Data Processing

Seattle, WA · On-site

$110K - $145K/yr

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

Adobe

Data Science Engineer

Seattle, WA · On-site

$130K - $156K/yr

We seek a data scientist to join theCreativity & Productivityfinance team to refine and implement ... Analyze data toidentifyor resolve operational problems to create processes to reverse engineer ...

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

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 Aug 13, 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 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 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
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, 4% Hybrid, and 9% Remote job distribution, with an average salary of $147,618 per year, or $71 per hour.

Data Engineer

Microsoft

Redmond, WA • On-site

$128K - $154K/yr

Full-time

Re-posted 27 days ago

Microsoft rating

8.5

Company rating: 8.5 out of 10

Based on 132 frontline employees who took The Breakroom Quiz

79th of 244 rated software companies

Job description

Overview
Commercial Engineering & AI (CEAI) partners closely with stakeholders to accelerate the transformation of Microsoft's commercial business into a frontier organization. We bring together AI-native engineering, modern platforms, and deep commercial insight to reimagine how work gets done - at scale and with impact. Our mission is to unlock new ways of operating through intelligent systems while creating the conditions for our teams to do the most meaningful work of their careers. If you're excited to build, experiment, and shape the future of commercial execution with AI at the core, we invite you to apply.
Within this context, the Scale and Partner AI Experiences (SPAI) organization is at the forefront of transforming Microsoft's sales ecosystem through AI-first innovation. Our mission is to build intelligent, scalable platforms that power partner and customer success, accelerating Microsoft's commercial growth through modern, AI-driven experiences.
As a Software Engineer, you will join our AMP Platform Engineering team. In this role, you will help operate and evolve the AMP platform, ensuring reliability, security, compliance, cost efficiency, and operational excellence across AMP-Processing and AMP-Analytics environments.
You will work closely with platform engineers, solution teams, security organizations, compliance stakeholders, and Microsoft product groups to maintain a highly available and secure platform while enabling engineering teams to innovate and deliver business value.
Responsibilities
Platform Operations & Reliability
  • Own day-to-day operational health of AMP-Processing and AMP-Analytics environments.
  • Monitor platform availability, capacity utilization, performance, and service health.
  • Drive incident management, troubleshooting, root cause analysis, and postmortem reviews.
  • Partner with engineering teams to ensure production workloads meet platform standards and operational requirements.
  • Participate in live-site operations and support critical production incidents.

Security, Compliance & SFI
  • Drive Secure Future Initiative (SFI) and Security 360 (S360) remediation activities across the platform.
  • Partner with security, privacy, compliance, and engineering teams to maintain platform compliance.
  • Monitor security recommendations and vulnerability remediation efforts.
  • Support SDL, TrIP, OSOT, privacy, and governance requirements for hosted workloads.
  • Ensure platform services comply with Microsoft engineering and security standards.

Resource Provisioning & Platform Enablement
  • Provision and maintain Azure subscriptions, resource groups, Fabric capacities, workspaces, identities, and platform resources.
  • Support onboarding of new projects and engineering teams onto AMP.
  • Configure access, entitlements, service tree components, deployment pipelines, and operational controls.
  • Maintain platform architecture, service inventory, and ownership records.

Cost Optimization & Capacity Management
  • Monitor platform spending, capacity utilization, and operational efficiency.
  • Identify and implement cost-reduction opportunities without compromising reliability or performance.
  • Build reporting and visibility into platform costs and utilization trends.
  • Partner with solution owners to optimize resource consumption and forecast capacity requirements.
  • Support budget planning and chargeback/showback processes.

Product Group Escalation & Vendor Coordination
  • Serve as the primary platform engineering contact for complex platform issues requiring Product Group engagement.
  • Coordinate escalations with Microsoft Fabric, Azure, Power BI, Security, and other engineering teams.
  • Track issue resolution through ICMs, support engagements, and engineering workstreams.
  • Drive timely communication and resolution of service-impacting issues.

Engineering Excellence
  • Improve platform automation, observability, monitoring, and operational tooling.
  • Develop scripts, dashboards, and operational processes that reduce manual effort and improve reliability.
  • Contribute to architecture reviews, platform standards, and operational best practices.
  • Help define and evolve the AMP Platform operating model.

Qualifications
Required/minimum qualifications
Master's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 1+ year(s) experience in business analytics, data science, software development, data modeling, or data engineering OR Bachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 2+ years experience in business analytics, data science, software development, data modeling, or data engineering OR equivalent experience.
Other Requirements
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings: Microsoft Cloud Background Check. This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.
Preferred Qualifications
  • Experience supporting production cloud platforms running business-critical workloads.
  • Experience with Microsoft Azure services, including Subscriptions, Resource Groups, Managed Identities, RBAC, Networking fundamentals, Monitoring and diagnostics
  • Experience managing operational incidents, outages, escalations, and live-site support activities.
  • Experience implementing or supporting security and compliance initiatives, including vulnerability remediation and security controls.
  • Experience with infrastructure governance, environment provisioning, and access management.
  • Communication skills and ability to collaborate across technical and business organizations.
  • Experience with Microsoft Fabric, Power BI, Lakehouse architectures, or enterprise analytics platforms.
  • Experience supporting Data Engineering, Analytics, AI, or Business Intelligence environments.
  • Experience with CI/CD pipelines, GitHub, Azure DevOps, and automation frameworks.
  • Experience with cost optimization and capacity planning for Azure or Fabric services.
  • Knowledge of observability, monitoring, telemetry, and platform reliability practices.

#CEAIjobs
Data Engineering IC3 - The typical base pay range for this role across the U.S. is USD $102,100 - $202,200 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $133,800 - $219,200 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

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About Microsoft

Sourced by ZipRecruiter

Our infrastructure is comprised of a large global portfolio of more than 100 datacenters and 1 million servers. Our foundation is built upon and managed by a team of subject matter experts working to support services for more than 1 billion customers and 20 million businesses in over 90 countries worldwide. With environmental sustainability and optimization at the forefront of our datacenter design and operations, we continue to grow and evolve as we meet the ever-changing business demands that hold Microsoft as a world-class cloud provider.

Industry

Computer and computer peripheral equipment and software wholesalers

Company size

10,000+ Employees

Headquarters location

Redmond, WA, US

Year founded

1975

Social media

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