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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer, gUP Engineering - **Company:** Google LLC - **Location:** Boulder, CO, United States - **Salary:** $106,000.0 - $151,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Unix, Data Architecture, Extract Transform Load (ETL), Data Warehousing, Software Design Documents, Distributed Computing Environment, Distributed Data Store, Data Flow Control, Machine Learning, NoSQL, Data Streaming, Systems Integration, Apache Spark, Apache Flume, Information Technology, Data Pipelines, Programming Languages - **Published:** July 24, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=644db4edb07a5ff9 ## About the Role * Bachelor's degree or equivalent practical experience. * 1 year of experience designing data pipelines, and dimensional data modeling for synch and asynch system integration and implementation using internal (e.g., Flume, etc.) and external stacks (DataFlow, Spark, etc.). * 1 year of experience coding in one or more programming languages. * Experience working with data models by performing exploratory queries and scripts., * Master's degree in Engineering, Computer Science, or a related technical discipline. * 1 year of experience partnering with cross-functional stakeholders and managing project plans to deliver on time, budget, and scope. * Experience writing and maintaining scalable ETLs operating across structured and unstructured data sources. * Proven experience in large-scale distributed data processing alongside proficiency with Unix and GNU/Linux environments. * Expertise designing data models and data warehouses, with strong familiarity in NoSQL and distributed database systems. * Strong background modeling real-world business processes, supported by excellent written communication, organizational, and problem-solving skills. ## Description * Utilize AI technologies to integrate complex data streams directly into scalable, full-stack software applications and operational workflows. * Design, develop, and support data pipelines, data warehouses, and automated ETL systems using traditional and distributed data frameworks. * Implement critical modifications to existing data models while continuously refining pipelines to resolve core technical and business issues. * Partner with data scientists, support engineers, and cross-functional stakeholders to productionize advanced statistical and machine learning models within active data pipelines. * Write comprehensive technical design documentation while developing investigative tools to unlock actionable business insights and maintain evolving data architecture. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form. ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Leveraging Real time data in FSIs](https://www.wearedevelopers.com/videos/806-leveraging-real-time-data-in-fsis) - [WeAreDevelopers LIVE - Node and Package Security](https://www.wearedevelopers.com/videos/2138-wearedevelopers-live-node-and-package-security) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) - [NoSQL Data Modeling for Front-end Developers](https://www.wearedevelopers.com/videos/297-nosql-data-modeling-for-front-end-developers) - [The Time Paradox: Building Timezone-Safe Python/Django Applications](https://www.wearedevelopers.com/videos/1915-the-time-paradox-building-timezone-safe-python-django-applications) ## Related Articles - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Got AI ideas but no money? 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