Starbucks · 1 week ago
senior application developer- data products
Seattle, WA
Full-time
Onsite
Senior Level, Lead/Staff
$122K/yr - $203K/yr
10+ years expStarbucks is a company known for its commitment to connection and extraordinary leadership. As a Senior Application Developer on the Data Engineering & Reporting Solutions Team, you will design and develop intelligent, data-driven applications and pipelines, leveraging AI and automation to enhance reporting and analytics capabilities.
CoffeeFood and BeverageRestaurantsTea
Responsibilities
Collaborates in planning, decomposing, estimating, scheduling, prioritization and resource allocation exercises. Mitigates risk with prototypes for complex problems as appropriate. Build incrementally, with an eye toward vision of the final product. Provides transparency in approach and progress, throughout the process
Participates in the solution design process: requirements gathering and backlog refinement, shapes and guides systems approach, helps with project initiation, contributes to functional design, and leads technical design and development
Develops software solutions to business problems. Leverages established design patterns and coding standards. Builds solutions that are secure, durable, scalable, flexible, and accessible and proactively mitigate against production support issues
Automates test coverage per platform capabilities and requirements. Establishes and maintains continuous build and integration testing on applicable platforms and assists with manual system and integration testing efforts
Key contributor and driver in the deployment approach, including planning and execution, data conversion approach, script development and execution, warranty period and transition of the solution to the platform's operational context
Operates in both waterfall and Agile Software Development Lifecycle (SDLC) processes and methodologies
Proactively participates in helping shape candidate solutions on the platform. This consultative part of the role explores the business capability portfolio to guide and direct solution options to ensure health of the platform
Plays a creative role in the Platform Stewardship portfolio. Contributes to the vision, roadmap, and platform investments needed to take our business solutions to the next level. Identifies, influences, sells and prioritizes innovative platform opportunities, as well as technical debt, with regular reviews, creating programs and solutions to raise the level of the platform offering or remediate systemic operational problems
Partners with cross functional teams, such as Infrastructure, Security, Architecture, QA and key Development teams, to strengthen and elevate the platform from a technology perspective. Successfully drives designs and solutions through enterprise processes and governance to ensure compliant, secure and supportable solutions
Deepens vendor relationships to understand and influence vendor product offerings and roadmaps, improves support engagement and gains insight into technology trends
Contributes to the platform development community by providing input, content and feedback on design patterns, coding standards, and shared libraries
Qualification
Required
10+ years of professional industry experience with software development
Bachelor's degree in computer science or related field
Expertise in working with Databricks & BI-Apps
Preferred
Knowledge of data structures, algorithms and computer science concepts relative to the platform
Mastery of relevant development languages, tools, frameworks, utilities and technical dependencies
Understanding of implications from design and implementation choices toward building secure, scalable, durable, flexible, accessible solutions
Aptitude to pick up new technologies and trends, as they become relevant for the business and our platforms. Examples include IoT, Big Data, REST Services, mobile, and incorporating cloud components
Ability to write and value high quality, reusable software with minimal defects
Ability to learn and incorporate new technologies, concepts and development languages
Thorough understanding of data transport mechanisms and integrations including synchronous, asynchronous, bulk data, tightly and loosely coupled methods
Working understanding of application architecture, infrastructure and security concepts and technical implementation
Ability to analyze, diagnose and propose solutions to user problems
Ability to understand and escalate technical challenges with options and recommendations
Thorough understanding of relevant platform and applications, including established API's, system activity components, process flows, the underlying data model, implementation specifics of important business rules, batch jobs, user interface components, and application configuration
Experience in designing and developing relevant enhancements on top of industry COTS (Commercial Of The Shelf) applications that differentiate and/or provide competitive advantage
Knowledge of business context and trends, as well as the business customers' opportunities. Awareness of the functional aspects of the solution
Proficiency in Python, SQL, and modern ETL frameworks for data engineering
Experience with data modeling, data warehousing, and reporting solutions (Power BI, Tableau, or similar)
Hands-on experience with cloud platforms (Azure, AWS, or GCP) and services like Azure Data Factory, Databricks, or Snowflake
Familiarity with big data technologies (Spark, Hadoop) and distributed computing
Practical experience integrating AI/ML models into data pipelines for predictive analytics and intelligent reporting
Knowledge of ML frameworks (TensorFlow, PyTorch, Scikit-learn) and MLOps practices for model deployment and monitoring
Ability to design AI-driven automation for data cleansing, anomaly detection, and trend forecasting
Expertise in API development and microservices architecture for data and AI services
Experience with CI/CD pipelines, DevOps, and containerization (Docker, Kubernetes) for scalable deployments
Familiarity with orchestration tools for AI workflows (e.g., Airflow, MLflow)
Understanding of data security, privacy compliance (GDPR, HIPAA), and ethical AI principles
Experience implementing data quality checks, bias detection, and model explainability
Ability to design optimized, AI-enhanced data pipelines for large-scale analytics and reporting
Strong troubleshooting skills for performance tuning, query optimization, and model accuracy improvements
Proven track record of mentoring developers and promoting AI best practices
Strong communication skills for collaboration with data scientists, analysts, and business stakeholders
Microsoft Certified: Azure Data Engineer Associate or Azure AI Engineer Associate
AWS Certified Machine Learning – Specialty or equivalent cloud AI certifications
Benefits
Medical, dental, vision, basic and supplemental life insurance
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
Two personal days per year
Participation in a 401(k) retirement plan with employer match
Discounted company stock program (S.I.P.)
Starbucks equity program (Bean Stock)
Incentivized emergency savings
Financial well-being tools
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
Access to other educational opportunities
Backup care
DACA reimbursement
Company
Starbucks
Starbucks is a restaurant chain that serves handcrafted ready-to-drink beverages, including coffee, tea, juices, and snack food items.
10001+ employees
H1B Sponsorship
Starbucks has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (208)
2024 (127)
2023 (130)
2022 (172)
2021 (146)
2020 (149)
Funding
Current Stage
Public CompanyTotal Funding
$2.65BKey Investors
Elliott Management Corp.Pershing Square Capital Management
2025-05-06Post Ipo Debt· $1.75B
2024-07-19Post Ipo Equity
2018-10-10Post Ipo Equity· $900M
Leadership Team
Brian R. Niccol
Chairman and Chief Executive Officer
Cathy R. Smith
CFO
Recent News
Morningstar.com
2026-01-23
2026-01-23
Company data provided by crunchbase