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ML Data Engineer, Data Engineering, Google Customer Solutions Full-time

at Google Illinois in Illinois (Published at 20-10-2022)

This role may also be located in our Playa Vista, CA campus.
Note: Google’s hybrid workplace includes remote and in-office roles. By applying to this position you will have an opportunity to share your preferred working location from the following:

In-office locations: Ann Arbor, MI, USA; Redwood City, CA, USA; Chicago, IL, USA; New York, NY, USA; Los Angeles, CA, USA.
Remote location(s): United States.

Minimum qualifications:
  • Bachelor's degree in Computer Science, Electrical Engineering, Math, a related field, or equivalent practical experience
  • 4 years of experience in software development
  • Experience in software development in one or more general purpose programming languages
  • Experience in one or more of the following: Relational/non-relational databases, data pipelines, advanced system design
Preferred qualifications:
  • Experience with TensorFlow, TFX, or other ML modeling and pipeline technologies
  • Experience in Python and SQL
  • Experience with big data or scaled/sharded system design
  • Experience in unit testing, agile project development, and bug and change management systems and a passion for engineering excellence
  • Ability to manage small projects and prioritize tasks
  • Proficiency in and passion for machine learning, data analysis, or data science
About the job

As a Machine Learning (ML) Data Engineer, you will analyze problems, provide elegant and scalable solutions, and identify and resolve dependencies. You will utilize Google infrastructure and its vast computing power to develop high performance, high reliability, and ML infrastructure, to provide reliable data that enables downstream users and systems to support Google’s critical business operations.

In this role, you will build ML pipelines, work with large data sets, and use software engineering to process modern data processing and data pipeline development.

Additional Information

(Colorado only*) Minimum full-time salary range between $98,000 - $106,000 + bonus + equity + benefits.

*Note: Disclosure as required by sb19-085 (8-5-20) of the minimum salary compensation range for this role when being hired into our offices in Colorado.

Responsibilities
  • Design, develop, deploy, and maintain end-to-end machine learning and data pipelines. Be able to transition models from collaborative notebook prototypes into production, utilizing ML, and pipeline best practices.
  • Perform data and data pipeline operations including data center migration, infrastructure migration, resource management, data pipeline configurations, and troubleshooting.
  • Collaborate with ML Engineers, Researchers, Data Scientists, Data Analysts, and Product Managers to design, build, deploy, and maintain robust solutions to critical problems.
  • Write and review technical documents including design, development, and collaborative code reviews.
  • Monitor and enhance the performance, stability, and operational efficiency of existing tools and services.
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 and If you have a disability or special need that requires accommodation, please let us know by completing our .


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