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Data Science Software Engineer Jobs in Seattle, WA

QXO

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 ...

QXO

Staff Software Engineer, Data

Seattle, WA

$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 ...

BC Forward

AI Data Engineer 3

Redmond, WA · On-site

$65/hr

Bachelor's in Computer Science, Software Engineering, Computer Engineering, or related field and 4+ years in analytics engineering, data engineering, data science, data analysis, or related software ...

MCG Health

Director, Data Science

Seattle, WA

$177K - $248K/yr

The Director, Data Science provides strategic and operational leadership for MCG's Data Science ... engineering productivity and software quality preferred. Pay Range: $177,300 - $248,200 Other ...

Porch.com, Inc.

Head of Data Science

Seattle, WA · On-site +1

As a leader in the home services software-as-a-service ("SaaS") space, we've built deep ... You will build and guide a high-performing team of data scientists and machine learning engineers ...

Porch.com, Inc.

Head of Data Science

Seattle, WA · On-site +1

As a leader in the home services software-as-a-service ("SaaS") space, we've built deep ... You will build and guide a high-performing team of data scientists and machine learning engineers ...

Haus

Staff Engineer - Data Platform - Seattle

Seattle, WA · On-site

$240K - $260K/yr

... scientific precision. Over $360B is spent annually on paid advertising in the US alone, and the ... We are looking for a Staff Software Engineer to set the technical direction for how Haus ingests ...

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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 Jul 4, 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, 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.

Which is the hardest field in it?

For a Data Science Software Engineer, the most challenging fields often involve complex machine learning algorithms, large-scale data processing, and advanced statistical analysis. Staying current with rapidly evolving tools like Python, R, and cloud platforms also requires continuous learning and adaptation. These areas demand strong problem-solving skills and deep technical knowledge.

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.

Can a software engineer work as a data scientist?

A software engineer can transition to a data scientist role by developing skills in statistics, machine learning, and data analysis, often using tools like Python, R, and SQL. While the roles have different focuses, software engineers' programming expertise can be a strong foundation for data science work, especially with additional training or experience in data modeling and analytics.

Is 40 too late for data science?

Data science software engineers can enter the field at any age, as success depends on skills, experience, and continuous learning. Many professionals transition into data science later in their careers by acquiring relevant knowledge in programming, statistics, and tools like Python or R. Age is not a barrier if you develop the necessary technical expertise and stay current with industry trends.

What engineers make $500,000?

Senior data science software engineers with extensive experience, advanced skills in machine learning, and proficiency in tools like Python, R, and cloud platforms can reach salaries of $500,000 or more, especially in high-cost-of-living areas or within large tech companies. Compensation often includes base salary, bonuses, and stock options, reflecting their expertise and impact on business outcomes.

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 June 2026, with employment types broken down into 2% As Needed, 83% Full Time, 13% Part Time, and 2% 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.
Senior Software Engineer, Apple Services Engineering

Senior Software Engineer, Apple Services Engineering

Apple

Seattle, WA

$175K - $308K/yr

Full-time

Medical, Dental, Retirement

Posted 25 days ago

Apple rating

8.1

Company rating: 8.1 out of 10

Based on 666 frontline employees who took The Breakroom Quiz

5th of 30 rated technology retailers

Job description

The iCloud Services team includes iCloud Platform, iCloud SRE, iCloud Data Science, and Data Engineering. The team ensures the availability, high performance, and efficiency of iCloud services, as well as security and data privacy. iCloud Services includes Enterprise and Education. Enterprise builds products and services to help organizations of all shapes and sizes do their work using Apple products, while Education delivers great teaching and learning experiences.
Description
This team is more than a group of engineers -- it's a group passionate about Apple products, services, and engineering culture. The team is seeking an experienced Software Engineer to develop the next generation of cloud platform that powers Apple Intelligence Private Cloud Compute and focus on building the next generation of cloud services. Your work will power marquee Apple experiences such as FaceTime, iCloud Drive, Photos, Backup, and Push notifications services while also helping build new ones.
We are a high-leverage team designing, building, and growing Apple’s privacy-focused platform enabling many of Apple’s signature apps and experiences. Our work impacts over a billion users and is essential to the success of Apple’s growth in services. Our team is growing, you will have the unique opportunity to help us shape our culture and processes.","responsibilities":"Collaborate to solve complex problems with the opportunity to invent innovative solutions
Evolve the design and architecture to support the continued growth of our platform
Develop the next generation of cloud platform that powers Apple Intelligence Private Cloud Compute, FaceTime, iCloud Drive, Photos, Backup and Push notifications services
Partner with teams across Apple to develop features and functionality to enable new experiences in the Apple ecosystem
Preferred Qualifications
Proficient with various programming languages such as Go and/or Swift
Enjoys learning new skills and technologies
Solid communications skills
Minimum Qualifications
7+ years of experience building scalable micro-services
Experience with Containerization and Serverless (Docker, Kubernetes, KNative) Technologies
Proficient in Java
Experience operating and developing infrastructure and services in public cloud environments (AWS, GCP, or Azure)
Bachelor's degree in Computer Science, Software Engineering, or an equivalent degree
Pay & Benefits
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $175,000 and $308,500, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976

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