1

Data Science Engineer Jobs in Seattle, WA (NOW HIRING)

Director, Data Science

Bellevue, WA ยท On-site

$156K - $312K/yr

Partner with product, engineering, merchandising, and business stakeholders toidentifyopportunities and align on strategic initiatives. * Partner with other cross location data science teams to ...

Director, Data Science

Bellevue, WA ยท On-site

$156K - $312K/yr

Partner with product, engineering, merchandising, and business stakeholders to identify opportunities and align on strategic initiatives. * Partner with other cross location data science teams to ...

Director- Data Science

Bellevue, WA ยท On-site

$156K - $312K/yr

Partner with product, engineering, merchandising, and business stakeholders to identify opportunities and align on strategic initiatives. * Partner with other cross location data science teams to ...

Director- Data Science

Bellevue, WA ยท On-site

$156K - $312K/yr

Partner with product, engineering, merchandising, and business stakeholders toidentifyopportunities and align on strategic initiatives. * Partner with other cross location data science teams to ...

You will build and guide a high-performing team of data scientists and machine learning engineers, partnering closely with senior executives and insurance business leaders to deliver measurable ...

The Director, Data Science provides strategic and operational leadership for MCG's Data Science ... Working closely with Product, Engineering, Clinical, and executive leadership, the Director ...

You will build and guide a high-performing team of data scientists and machine learning engineers, partnering closely with senior executives and insurance business leaders to deliver measurable ...

You will be a strategic partner to product and engineering leadership -- shaping the questions ... Data Science Director Responsibilities: * Define the Data Science operating model across a ...

The founders are seasoned ex-Microsoft engineers and leaders, some already well known in the ... We're now looking for AI, NLP, Machine Learning, Data Science, and Math PhD Interns to work ...

The founders are seasoned ex-Microsoft engineers and leaders, some already well known in the ... We're now looking for AI, NLP, Machine Learning, Data Science, and Math PhD Interns to work ...

Data Science Manager - TikTok Ads

Seattle, WA ยท On-site

$242K - $401K/yr

... Science, Engineering, Math, Statistics, etc. 2. Many years of experience in data science ... algorithmic engineering, or machine learning 3. 3+ years of experience in managing and mentoring ...

Director, Data Science

Bellevue, WA ยท On-site

$169K - $338K/yr

Proficiency in programming languages including Python, SQL, and Java for code development, testing ... Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science ...

Lead Generative AI Data Engineer III

Seattle, WA ยท On-site

$116K - $153K/yr

Work You'll Do As a Lead AI and Data Science Engineer II on the team, you will be responsible for: * Lead the design, development, testing, and deployment of machine learning and artificial ...

Data Engineer, PXT Central Science

Seattle, WA ยท On-site

$130K - $156K/yr

The PXT Central Science team is looking for a Data Engineer. This individual will join a team of economists and scientists to own and accelerate science and analytics in our rapid employee ...

They are seeking a Manager of Data Science to lead a team focused on core marketplace challenges ... Engineering, Marketing, Finance, Trust & Safety, and other cross-functional teams on complex ...

next page

Showing results 1-20

Data Science Engineer information

See Seattle, WA salary details

$50.6K

$147.6K

$202K

How much do data science engineer jobs pay per year?

As of Jul 7, 2026, the average yearly pay for data science engineer in Seattle, WA is $147,621.00, 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 engineers make 500,000?

Senior data science engineers, machine learning engineers, and software engineers with extensive experience and advanced skills in areas like AI, big data, and cloud computing can earn salaries of $500,000 or more, especially in high-cost-of-living regions or within top tech companies. Achieving this level often requires advanced degrees, certifications, and a strong track record of impactful projects.

Is 30 too late for data science?

Data Science Engineers can enter the field at any age, including 30, 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 less important than demonstrated expertise and the ability to adapt to evolving technologies.

What are the key skills and qualifications needed to thrive in the Data Science Engineer position, and why are they important?

A Data Science Engineer should have a strong background in statistics, machine learning, programming (typically Python or R), and data engineering, often supported by a degree in computer science, engineering, or a related field. Familiarity with data processing frameworks (like Spark or Hadoop), cloud platforms (AWS, GCP, or Azure), and certifications in data science or cloud technology are highly valued. Excellent problem-solving skills, communication abilities, and collaboration are essential soft skills for working effectively in cross-functional teams. These competencies enable Data Science Engineers to build scalable data solutions, deliver actionable insights, and drive business impact.

What are the typical daily responsibilities of a Data Science Engineer?

Data Science Engineers typically spend their days designing and building data pipelines, preparing and cleaning large datasets, and developing machine learning models to solve business problems. They work closely with data scientists, software engineers, and business stakeholders to translate requirements into scalable technical solutions. Responsibilities also include deploying models to production, monitoring their performance, and iterating on solutions based on feedback. This role offers a dynamic mix of coding, data analysis, and teamwork, making each day varied and intellectually engaging.

What is a Data Science Engineer job?

A Data Science Engineer is a professional who bridges the gap between data science and software engineering. They focus on designing, building, and maintaining scalable data pipelines, infrastructure, and machine learning models for production use. Their role involves data preprocessing, model deployment, performance optimization, and integrating AI solutions into applications. They work closely with data scientists, software engineers, and DevOps teams to ensure efficient data workflows.

What does a data science engineer do?

A data science engineer designs, develops, and maintains data pipelines and infrastructure to support data analysis and machine learning models. They work with large datasets, use programming languages like Python or Scala, and often collaborate with data scientists and software engineers to ensure data quality and accessibility.

Is data science high paying?

Data science engineers typically earn high salaries due to their specialized skills in statistical analysis, programming, and machine learning. Salaries vary by experience, location, and industry, but data science roles are generally considered well-compensated within the tech field.
What job categories do people searching Data Science Engineer jobs in Seattle, WA look for? The top searched job categories for Data Science Engineer jobs in Seattle, WA are:
Data Science Specialist

Data Science Specialist

ANICCA DATA SCIENCE SOLUTIONS LLC

Bellevue, WA โ€ข On-site

$87K - $101K/yr

Full-time

Posted 10 days ago


Job description

Role Summary
We are looking for an experienced Data Professional to support Azure-based data platform, analytics, reporting, and advanced analytics and science work. The role requires hands-on experience in data engineering, data analysis, business intelligence, and Python-based analytics using Microsoft Azure technologies.
Key Responsibilities
* Design, build, and maintain data pipelines using Azure Data Factory, Azure Data Lake Gen2, Synapse, Fabric, and Databricks.
* Ingest, transform, and validate data from multiple business systems, APIs, databases, and files.
* Develop and maintain data models, source-to-target mappings, business rules, and data quality checks.
* Perform data profiling, reconciliation, gap analysis, and root-cause analysis.
* Write complex SQL, Python, PySpark, and KQL queries for data processing and analysis.
* Build and support Power BI dashboards, reports, semantic models, KPIs, and analytical datasets.
* Apply statistical analysis, forecasting, anomaly detection, and basic machine learning techniques where needed.
* Support Dev/UAT/Prod deployments, CI/CD, documentation, testing, and stakeholder sign-off.
* Ensure data security, governance, RBAC, access control, and performance best practices.
Required Skills
* 5+ years of experience in data engineering, data analytics, BI, or data science.
* Strong hands-on experience with Azure data services.
* Strong skills in SQL, Python, PySpark, Power BI, and data modeling.
* Experience with ADF, ADLS Gen2, Synapse/Fabric, Databricks, dbt, or Airbyte.
* Ability to translate business requirements into technical specifications, data models, reports, and analytics solutions.
* Experience with data validation, documentation, UAT support, and stakeholder communication.
* Knowledge of Azure DevOps, Git, CI/CD, and Agile delivery is preferred.
Qualifications
Bachelorโ€™s or Masterโ€™s degree in Computer Science, Data Science, Information Technology, Engineering, Statistics, or a related field.