Data Analytics Engineer Jobs in Seattle, WA
Data Analytics Engineer jobs in Seattle, Washington draw strong demand from the city's cloud computing, e-commerce, and enterprise software sectors, with roles concentrated in South Lake Union, Bellevue, and the Eastside tech corridor. Employers hiring right now include Amazon, Amazon Web Services, and ByteDance. Find a role that fits below and apply directly.
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Now Brewing – Lead Data Scientist! #tobeapartner
From the beginning, Starbucks set out to be a different kind of company. One that not only celebrated coffee and the rich tradition, but that also brought a feeling of connection. We are known for developing extraordinary leaders who share this passion and are guided by their service to others.
As a Lead Data Scientist on the Pricing Data Science team, you will lead the development of advanced pricing models and optimization algorithms that shape pricing decisions across US and Canada company-owned stores. You will drive the evolution of the pricing system by applying rigorous analytics, partnering with cross-functional teams, and influencing strategic workforce planning. Your work will directly impact pricing, and customer experience at scale.
As a lead data scientist, you will…
Design and Architect the Future Pricing Ecosystem
- Build a scalable, data-driven pricing framework that optimizes revenue.
- Incorporate predictive modeling, and ad hoc analyses into pricing framework.
Drive Pricing and Revenue management data science
- Identify pricing and promotion potential through advanced analytics.
- Implement optimization strategies leveraging machine learning, simulation, and scenario planning.
- Partner with strategy and finance to align pricing tools with business goals.
Mentor and Develop Talent
- Guide data scientists and senior data scientists in advanced analytics, optimization techniques, and business impact storytelling.
- Foster a culture of innovation and continuous improvement within the analytics team.
We’d love to hear from people with:
- 5+ years of progressive experience in data science, with a proven track record of end-to-end data product and model deployment that delivers measurable business impact.
- Strong foundation in machine learning and statistical techniques, including regression, classification, clustering, and causal inference.
- Advanced proficiency in Python, SQL, and cloud-based analytics platforms (e.g., Databricks, Azure), with experience developing production-grade data pipelines and model outputs.
- Excellent communication and data storytelling skills, with the ability to translate complex methodologies into clear, actionable insights through compelling visualizations and dashboards using tools like Tableau.
- Experience building in-house production systems in complex and data-rich domains.
- Mentoring experience
Preferred Skills:
- Expertise in building Bayesian elasticity models and causal inference
- Experience in optimization techniques such as linear programming, mixed-integer programming, or heuristic algorithms for decision support
- Background with PySpark and Databricks for distributed data processing and scalable analytics in cloud environments
As a Starbucks partner, you (and your family) will have access to medical, dental, vision, basic and supplemental life insurance, and other voluntary insurance benefits. Partners have access to short-term and long-term disability, paid parental leave, family expansion reimbursement, paid vacation from date of hire*, sick time (accrued at 1 hour for every 25 hours worked), eight paid holidays, and two personal days per year. Starbucks also offers eligible partners participation in a 401(k) retirement plan with employer match, a discounted company stock program (S.I.P.), Starbucks equity program (Bean Stock), incentivized emergency savings, and financial well-being tools. Additionally, Starbucks offers 100% upfront tuition coverage for a first-time bachelor’s degree through Arizona State University’s online program via the Starbucks College Achievement Plan, student loan management resources, and access to other educational opportunities. You will also have access to backup care and DACA reimbursement. Starbucks will comply with any applicable state and local laws regarding employee leave benefits, including, but not limited to providing time off pursuant to the Colorado Healthy Families and Workplaces Act, and in accordance with its plans and policies. This list is subject to change depending on collective bargaining in locations where partners have a certified bargaining representative. For additional information regarding partner perks and more detailed information about benefits, go to starbucksbenefits.com.
- If you are working in CA, CO, IL, LA, ME, MA, NE, ND or RI, you will accrue vacation up to a maximum of 120 hours (190 in CA) for roles below director and 200 hours (316 in CA) for roles at director or above. For roles in other states, you will be granted vacation time starting at 120 hours annually for roles below director and 200 hours annually for roles director and above.
The actual base pay offered to the successful candidate will be based on multiple factors, including but not limited to job-related knowledge/skills, experience, geographical location, and internal equity. At Starbucks, it is not typical for an individual to be hired at the high end of the range for their role, and compensation decisions are dependent upon the facts and circumstances of each position and candidate.
We believe we do our best work when we're together, which is why we're onsite four days a week.
Join us and inspire with every cup. Apply today!
Starbucks Coffee Company is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, or protected veteran status, or any other characteristic protected by law.
Qualified applicants with criminal histories will be considered for employment in a manner consistent with all federal, state and local ordinances.
Starbucks Coffee Company is committed to offering reasonable accommodations to job applicants with disabilities. If you need assistance or an accommodation due to a disability, please contact us at applicantaccommodation@starbucks.com or 1(888) 611-2258.
Now Brewing – Lead Data Scientist! #tobeapartner
From the beginning, Starbucks set out to be a different kind of company. One that not only celebrated coffee and the rich tradition, but that also brought a feeling of connection. We are known for developing extraordinary leaders who share this passion and are guided by their service to others.
As a Lead Data Scientist on the Pricing Data Science team, you will lead the development of advanced pricing models and optimization algorithms that shape pricing decisions across US and Canada company-owned stores. You will drive the evolution of the pricing system by applying rigorous analytics, partnering with cross-functional teams, and influencing strategic workforce planning. Your work will directly impact pricing, and customer experience at scale.
As a lead data scientist, you will…
Design and Architect the Future Pricing Ecosystem
- Build a scalable, data-driven pricing framework that optimizes revenue.
- Incorporate predictive modeling, and ad hoc analyses into pricing framework.
Drive Pricing and Revenue management data science
- Identify pricing and promotion potential through advanced analytics.
- Implement optimization strategies leveraging machine learning, simulation, and scenario planning.
- Partner with strategy and finance to align pricing tools with business goals.
Mentor and Develop Talent
- Guide data scientists and senior data scientists in advanced analytics, optimization techniques, and business impact storytelling.
- Foster a culture of innovation and continuous improvement within the analytics team.
We’d love to hear from people with:
- 5+ years of progressive experience in data science, with a proven track record of end-to-end data product and model deployment that delivers measurable business impact.
- Strong foundation in machine learning and statistical techniques, including regression, classification, clustering, and causal inference.
- Advanced proficiency in Python, SQL, and cloud-based analytics platforms (e.g., Databricks, Azure), with experience developing production-grade data pipelines and model outputs.
- Excellent communication and data storytelling skills, with the ability to translate complex methodologies into clear, actionable insights through compelling visualizations and dashboards using tools like Tableau.
- Experience building in-house production systems in complex and data-rich domains.
- Mentoring experience
Preferred Skills:
- Expertise in building Bayesian elasticity models and causal inference
- Experience in optimization techniques such as linear programming, mixed-integer programming, or heuristic algorithms for decision support
- Background with PySpark and Databricks for distributed data processing and scalable analytics in cloud environments
As a Starbucks partner, you (and your family) will have access to medical, dental, vision, basic and supplemental life insurance, and other voluntary insurance benefits. Partners have access to short-term and long-term disability, paid parental leave, family expansion reimbursement, paid vacation from date of hire*, sick time (accrued at 1 hour for every 25 hours worked), eight paid holidays, and two personal days per year. Starbucks also offers eligible partners participation in a 401(k) retirement plan with employer match, a discounted company stock program (S.I.P.), Starbucks equity program (Bean Stock), incentivized emergency savings, and financial well-being tools. Additionally, Starbucks offers 100% upfront tuition coverage for a first-time bachelor’s degree through Arizona State University’s online program via the Starbucks College Achievement Plan, student loan management resources, and access to other educational opportunities. You will also have access to backup care and DACA reimbursement. Starbucks will comply with any applicable state and local laws regarding employee leave benefits, including, but not limited to providing time off pursuant to the Colorado Healthy Families and Workplaces Act, and in accordance with its plans and policies. This list is subject to change depending on collective bargaining in locations where partners have a certified bargaining representative. For additional information regarding partner perks and more detailed information about benefits, go to starbucksbenefits.com.
- If you are working in CA, CO, IL, LA, ME, MA, NE, ND or RI, you will accrue vacation up to a maximum of 120 hours (190 in CA) for roles below director and 200 hours (316 in CA) for roles at director or above. For roles in other states, you will be granted vacation time starting at 120 hours annually for roles below director and 200 hours annually for roles director and above.
The actual base pay offered to the successful candidate will be based on multiple factors, including but not limited to job-related knowledge/skills, experience, geographical location, and internal equity. At Starbucks, it is not typical for an individual to be hired at the high end of the range for their role, and compensation decisions are dependent upon the facts and circumstances of each position and candidate.
We believe we do our best work when we're together, which is why we're onsite four days a week.
Join us and inspire with every cup. Apply today!
Starbucks Coffee Company is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, or protected veteran status, or any other characteristic protected by law.
Qualified applicants with criminal histories will be considered for employment in a manner consistent with all federal, state and local ordinances.
Starbucks Coffee Company is committed to offering reasonable accommodations to job applicants with disabilities. If you need assistance or an accommodation due to a disability, please contact us at applicantaccommodation@starbucks.com or 1(888) 611-2258.
See All 47 Data Analytics Engineer Jobs in Seattle
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Find Data Analytics Engineer JobsData Analytics Engineer Job Market in Seattle
Who's Hiring
- Amazon11
- Amazon Web Services11
- ByteDance5
- Starbucks5
- Meta3
Top Industries Hiring
- Technology & Software
- Retail
- E-Commerce & Online Marketplaces
- Construction & Real Estate
Data Analytics Engineer Jobs in Seattle: Frequently Asked Questions
How do I get a data analytics engineer job in Seattle?
Focus your search on Seattle's cloud computing, e-commerce, and enterprise software companies, which generate the highest volume of data analytics engineer openings locally. Roles cluster in South Lake Union, the Eastside, and Bellevue. Candidates who demonstrate hands-on experience with modern data stack tools, cloud platforms, and SQL-based pipeline work stand out. Networking through Seattle's active tech meetup and data engineering community also gives applicants a concrete edge.
Which companies hire data analytics engineers in Seattle?
Companies currently hiring data analytics engineers in Seattle include Amazon, Amazon Web Services, and ByteDance, per current listings on Migrate Mate as of November 2026. Seattle's employer base skews heavily toward large technology companies and high-growth startups, giving candidates a wide range of team sizes and product domains to choose from.
Are there remote data analytics engineer jobs in Seattle?
Yes, data analytics engineering is well-suited to remote work given its desk-based, analytical nature. About 63% of data analytics engineer openings tied to Seattle are remote or hybrid as of November 2026, making it one of the more flexible roles in the technical field. Pipeline development, dashboard work, and data modeling tasks are most commonly performed fully remotely in Seattle-based teams.
How can I get a data analytics engineer job in Seattle with little or no experience?
The most realistic entry path in Seattle is targeting analytics engineer or junior data engineer roles at mid-size tech companies and startups in South Lake Union and the Eastside, which often hire candidates with strong portfolio projects over formal years of experience. Building a public portfolio using dbt, BigQuery, or Snowflake and contributing to open-source data projects signals readiness to Seattle hiring teams. Internship programs at Seattle's larger tech employers also convert to full-time roles at a high rate.
Which industries hire the most data analytics engineers in Seattle?
Seattle data analytics engineer roles concentrate in Technology & Software, Retail, and E-Commerce & Online Marketplaces, based on current listings on Migrate Mate as of November 2026. Seattle's identity as a global hub for cloud infrastructure and retail technology means these sectors generate sustained, year-round demand for professionals who can model and operationalize large-scale data.
Related Jobs in Washington
See All 47 Data Analytics Engineer Jobs in Seattle
Find roles in Seattle that match your experience and apply in just a few clicks.
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