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Software Engineer, BigQuery Managed Storage

Google

Software Engineer, BigQuery Managed Storage

Google

·

On-site

·

Full-time

·

1w ago

  • Design and implement storage components to support large scale streaming ingestion.

  • Design and implement algorithms to expand Big Query’s DML capabilities.

  • Design and implement tests and experiments to evaluate and monitor the performance of the system.

  • Use the full battery of tools and instrumentation to develop, test, and rollout features.

  • Coordinate with product engineers in all parts of the software stack.

  • Bachelor’s degree or equivalent practical experience.

  • 2 years of experience with developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage or hardware architecture.

  • 2 years of experience with software development, or 1 year of experience with an advanced degree in an industry setting.

  • Experience with distributed computing, distributed databases, and distributed systems.

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About Google

Google

Google

Public

Google specializes in internet-related services and products, including search, advertising, and software.

10,001+

Employees

Mountain View

Headquarters

$1,700B

Valuation

Reviews

3.7

25 reviews

Work-life balance

3.8

Compensation

4.2

Culture

3.4

Career

3.9

Management

2.8

68%

Recommend to a friend

Pros

Excellent compensation and benefits

Smart and talented colleagues

Great perks and work flexibility

Cons

Management and leadership issues

Bureaucracy and slow processes

Constantly changing priorities and reorganizations

Salary Ranges

57,502 data points

Junior/L3

L3

L4

L5

L6

L7

L8

Mid/L4

Principal/L7

Senior/L5

Staff/L6

Director

Junior/L3 · Data Scientist L3

0 reports

$176,704

total per year

Base

-

Stock

-

Bonus

-

$150,298

$203,110

Interview experience

9 interviews

Difficulty

3.4

/ 5

Duration

14-28 weeks

Offer rate

44%

Experience

Positive 0%

Neutral 56%

Negative 44%

Interview process

1

Application Review

2

Online Assessment/Technical Screen

3

Phone Screen

4

Onsite/Virtual Interviews

5

Team Matching

6

Offer

Common questions

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge

Product Sense