Software Engineer, Data Engineering, LabOS, Quantum AI

Goleta, CA, USA

Full-time

Onsite

$141K/yr - $202K/yr

Entry, Mid Level

Google is a leading technology company focused on developing next-generation technologies that enhance user interaction with information. In this role, you will design and support data pipelines and systems while collaborating with users and stakeholders to meet evolving data governance requirements.

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Responsibilities

Design, develop and support data pipelines, warehouses, databases, reporting and visualization systems to solve operations and users problems, for both existing and new data, using a variety of traditional as well as large-scale distributed data systems.
Collaborate and influence users and stakeholders to ensure our data infrastructure meets constantly evolving requirements and data governance policies.
Work closely with research scientists and engineers to productionize analysis models using data processing pipelines. Recommend improvements and implement modifications to existing data models and ETL pipelines.
Write and review technical documents including design, development, and revision documents. Drive innovation with new analytical tools to gain more insight from data.

Qualification

Required

Bachelor’s degree or equivalent practical experience.
2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.
2 years of experience in Data Management or Data Integration or Data Domain, System Integration, Distributed Databases, SQL Pipelines.

Preferred

Experience programming in Python.
Experience in writing and maintaining Extract, Transform, Load (ETL) that operate on a range of structured and unstructured sources.
Experience with large-scale data processing.
Experience with modeling business processes or real-world data sources.
Experience with setting and implementing data governance policies.
Excellent written communication, organizational, and problem-solving skills.