Physical Security Data Engineer

Google is a global technology company that provides a wide range of internet-related services and products.
$118,000 - $174,000
Data
Mid-Level Software Engineer
In-Person
5,000+ Employees
3+ years of experience
Enterprise SaaS

Description For Physical Security Data Engineer

Google is seeking a Physical Security Data Engineer to join their team. This role combines technical expertise in data engineering with a focus on security systems. The position offers a competitive base salary range of $118,000-$174,000, plus additional benefits including bonus and equity packages.

The ideal candidate will have at least 3 years of experience in programming, data infrastructure, and pipeline design. You'll be responsible for building and maintaining robust data processing systems with a strong emphasis on security and compliance. The role involves working with various Business Intelligence tools to create data visualizations and developing data models for both analysis and machine learning applications.

As part of Google's technical team, you'll collaborate with cross-functional teams including Engineering, Sales, and Product Management. You'll be instrumental in leveraging emerging technologies for advertising clients and product partners. The role offers an excellent opportunity to work with cutting-edge technology while solving complex data challenges at scale.

The position is available in several locations including Seattle, Boulder, and Chicago, offering flexibility in terms of work location. Google provides a comprehensive benefits package and promotes an inclusive work environment, committed to building a diverse workforce that represents its global user base.

This role is perfect for someone who combines strong technical skills with business acumen, as you'll be balancing technical constraints with business and partner needs. You'll have the opportunity to work on innovative solutions while contributing to Google's mission of organizing the world's information and making it universally accessible and useful.

Last updated 2 months ago

Responsibilities For Physical Security Data Engineer

  • Design and build data processing systems with emphasis on security, compliance, scalability, efficiency, reliability, and portability
  • Create or consult in creating data visualizations using Business Intelligence (BI) tools
  • Develop and maintain data models, pipelines, and exchange formats
  • Provide ongoing support for data users through maintenance of reports, queries, and dashboards

Requirements For Physical Security Data Engineer

Python
  • Bachelor's degree or equivalent practical experience
  • 3 years of experience coding in one or more programming languages
  • 3 years of experience working with data infrastructure and data models
  • 3 years of experience designing data pipelines and dimensional data modeling

Benefits For Physical Security Data Engineer

Medical Insurance
Dental Insurance
Vision Insurance
Parental Leave
  • bonus
  • equity
  • benefits

Interested in this job?

Jobs Related To Google Physical Security Data Engineer

Technical Program Manager, Geo Data Operations

Technical Program Manager position at Google's Geo team, focusing on data operations and mapping technologies, requiring technical expertise and program management skills.

Technical Program Manager, Fleet Decision Intelligence

Technical Program Manager position at Google Cloud, focusing on Fleet Decision Intelligence, data analytics, and project management.

Product Manager, Data Infrastructure, Analytics and Insights

Product Manager role at Google focusing on data infrastructure, analytics, and insights, building storage and processing systems for business decisions.

Product Manager II, Core Data

Product Manager II position at Google's Core Data organization, focusing on building next-generation data infrastructure and solutions for Google's products.

Data Scientist, Extended Workforce Solutions

Data Scientist role at Google focusing on Extended Workforce Solutions, requiring expertise in ML, Python, and SQL to optimize outsourced operations and provide data-driven insights.