1563 IT & Software Developer jobs in the US

Starbucks jobs

Lead application developer, data & analytics

$120,000 - 160,000
Utah Avenue South 2401, Seattle
$120,000 - 160,000
Company Size icon
Company Size
5k+
Company Type icon
Company Type
Product
Exp Level icon
Exp Level
Lead
Job Type icon
Job Type
Full-Time
Language icon
Language
English
Visa sponsorship icon
Visa sponsorship
No

Requirements

Must:
- Over 8 years of professional experience in software development, with a proven history of delivering scalable data solutions in enterprise settings. - More than 5 years of practical experience with SQL, focusing on complex queries, performance enhancement, and working with extensive datasets. - At least 4 years of experience constructing data pipelines utilizing Spark, with a deep understanding of distributed processing and optimization methods. - A minimum of 3 years working with Databricks, covering notebooks, Delta Lake, job orchestration, cluster management, and CI/CD integration. - Familiarity with designing and supporting data ingestion frameworks (both batch and streaming) from various source systems like APIs, files, databases, and event streams. - Strong skills in BI and visualization tools such as Power BI, Tableau, and Alteryx, with the ability to oversee dashboard development and enforce best practices in visualization. - Hands-on experience with workflow and project management tools, particularly Jira, for sprint planning, backlog oversight, and cross-team coordination. - Knowledge of data quality, data validation, and metadata management practices, including setting up automated checks and monitoring systems. - Excellent communication and stakeholder management abilities. - 2 years of experience leading teams of four or more software developers. - Bachelors degree in Computer Science or a related field.

Responsibilities

- Lead the design, development, and enhancement of robust data ingestion pipelines, collaborating with technical product managers, analysts, engineering teams, and stakeholders to create, test, and deploy data pipelines within our analytics platforms. - Guide the comprehensive lifecycle of dashboard and analytics product development. - Architect scalable, reliable, and secure data engineering solutions using Databricks, Spark, SQL, and other cloud-native tools to fulfill enterprise reporting and advanced analytics requirements. - Act as a technical leader within the team by providing hands-on development support, conducting code reviews, and offering architectural guidance and mentorship to analysts and engineers. - Promote engineering best practices including CI/CD, automated testing, version control, monitoring, and performance optimization across data pipelines and analytics applications.

Description


At Starbucks, we are committed to fostering a unique culture that celebrates coffee and creates meaningful connections. As an organization, we prioritize developing exceptional leaders guided by their service to others. In this role, you will enjoy a range of benefits including medical, dental, vision, and life insurance options, along with access to short-term and long-term disability, paid parental leave, vacation, and holiday time. Our partners benefit from participation in a 401(k) retirement plan with employer matching, tuition coverage for first-time bachelors degrees, and various educational opportunities. We believe collaboration enhances our success, which is why we work onsite four days a week. Join us in our mission to inspire through every cup.
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Currently, there are 1563 Data openings. Check also: Spark jobs, Snowflake jobs, Kafka jobs, Hadoop jobs - all with salary brackets.

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