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Walmart USA Senior Manager Software Engineering Analytics Engineering United States, California 269988891
16.04.2025
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What You’ll Do:
- Partner with talented engineers, product visionaries, and digital analysts to providing clean, transformed data ready for analysis of our eCommerce Website and Apps
- Work in a high-performance agile team environment – guiding planning, timelines, communication, and execution of parallel Data Instrumentation tracks supporting a variety of digital Products released on our eCommerce Website and Apps.
- Apply software engineering best practices (ex: version control, testing, continuous integration) to develop, enhance, and maintain clickstream data collection frameworks and pipelines using modern programming standards in JavaScript
- Guide strategies instrumentation considerations based on front-end framework and platform architecture (e.g. React frameworks, Web / Android / iOS architectures).
- Leverage tagging QA automation to improve data veracity, tagging QA efficiency, and reduce manual QA risks
- Analyze data using non-SQL Enterprise BI tools as well as SQL Based data frameworks
- Maintain extensive self-serve data documentation & definitions across the org
- Train business users on how to use non-SQL based BI data exploration tools (e.g. Adobe Workspace, D3 Data Visualization)
What You’ll Bring:
Mandatory Requirements:
- Demonstrate deep expertise in Analytics Engineering, including Data Instrumentation and Tagging QA leveraging industry standard platforms, tools, and tech. Hands on experience with end-to-end tagging instrumentation, collection, storage, and data transformation
- Core strength in Full-stack Web Development: JavaScript (ES5, ES6, ES2016 and latest versions of ECMA Script), HTML5, CSS3, ReactJS, NodeJS.
- Deep understanding of the Web and App frameworks and respective component lifecycles.
- Demonstrate working knowledge of multithreading, networking, offline storage, and performance tuning.
- Understand product lifecycle, functional requirements, and UX wireframes. Demonstrate strong ability to bridge understanding between business measurement needs and technical functionality both pre and post product development.
- Experienced in code review, approval, and deployment via industry CI/CD tools & frameworks.
- Excellent Communication and Collaboration skills as well as a strong Team Player.
Great to have:
- 4+ years as an Analytics Engineering People Leader
- Deep knowledge of enterprise level data collection and reporting frameworks such as Adobe Analytics or Google Analytics
- Experience with Tagging QA Automation frameworks such as ObservePoint
- Experience designing and maintaining data schemas for large scale data
- Experience managing sprint planning and running AGILE sprint cycles using industry tools such as JIRA
- Good knowledge of SQL and SQL-based data exploration
- Experience in developing D3 Data Visualization in Web based dashboards
- MS in Computer Science, Computer Engineering, Statistics, Mathematics or similar STEM degree
For information about PTO, see
Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms.For information about benefits and eligibility, see
The annual salary range for this position is $143,000.00-$286,000.00 Additional compensation includes annual or quarterly performance bonuses. Minimum Qualifications... Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.
2 years’ supervisory experience.
Preferred Qualifications...
Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.
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