Bigeye

remote
26 - 50 Employees
< 10 Engineers
$10M - $25M Funding
Series A

Bigeye combines automatic instrumentation, robust anomaly detection, and extensive customization to provide always-on insight into the quality of every table in every data pipeline. Bigeye can be deployed in as little as 15 minutes and enables teams to continuously monitor all aspects of their data quality, proactively detect and resolve issues, and ensure that every user — whether internal or external — can trust the data.

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Active Roles

Why join us?

  • The Bigeye team consists of individuals with deep data experience who are collectively responsible for solving some of the most complex problems facing data teams today at gigabyte and petabyte scale.

  • Tripled our revenue and 5x-ed our customers in the last 6 months

  • Founded by early Uber data people

  • Funded by Sequoia Capital and Costanoa Ventures


Engineering at Bigeye

Engineering team and processes

We work in cross-discipline, project focused teams. Most teams consist of a mix of Product, Design, Backend Eng, Frontend Eng, and Data science. We have one synchronous standup weekly and daily slack-based standups. Each project team has a lead which is responsible for their own sprint planning, although most common is a weekly planning meeting. We are highly collaborative and spend time on Product and Eng proposals during the project planning phase

Technical Challenges

One interesting technical challenge is scalability. Our customer base and usage are growing quickly, so any new features/services have to be able to handle the amount of traffic we will have in the future.

Another interesting challenge is building useable products and features on top of highly technical concepts. Bigeye monitors data quality using metrics, which are very powerful but potentially complex to understand on their own. We spend a lot of time collaborating on Product and Design in order to make these concepts consumable in a useful way for our customers.

Projects you might work on
  • Autometrics: When users connect Bigeye to their warehouse, it can be time consuming for them to set up dozens or hundreds of metrics manually. in order to alleviate this pain point, we implemented Autometrics. In this project, we profile the customer data and suggest the correct metrics on each table/column based on the results of profiling

  • ML Platform: At Bigeye, ML is at the core of what we do. We train thousands of ML models per day, and in order to support this requirement we had to build a ML platform that was robust and scalable to meet the needs of our customers

  • SLAs: Metrics on their own are powerful, but metrics grouped together are even more powerful. Let's say that you have some dashboard that you show weekly and want to monitor the underlying metrics on the data in that dashboard to alert you if there are any problems. With SLAs, you can group these metrics together into a single entity and set up alerting rules based on that grouped entity rather than the individual metrics.

Tech stack
Java
Python
MySQL
React
TypeScript
AWS
Docker

Working at Bigeye

The Bigeye team consists of individuals with diverse experience who are passionate about solving the most complex problems facing data teams today.

Diversity and Inclusion

Bigeye believes the strongest teams are built from differing but complementary perspectives. We've partnered with True Diversity to double down on our DEI&B goals to help us create a more inclusive workplace.

Connect with our team during your hiring process

As part of our commitment to an inclusive workplace, we are happy to offer prospective engineers the chance to connect with our engineering employees who come from underrepresented backgrounds. It’s a way to get a better sense of our team and what it might be like to work with us.

If you’re interested in connecting with our team, be sure to bring this up during one of our introductory calls!

Perks & benefits
  • Generous Vacation

    20 Days PTO

  • Maternal/Paternal Leave
  • Health Insurance

    We provide Medical/Dental/Vision

  • Work from Home

    We're a remote-first culture

  • LGBTQ+ friendly
  • Prioritizes diversity in hiring
  • Dedicated Human Resources team
  • Team Activities
  • Visa Support

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