The Company

Bigeye is on a mission to help enterprises trust their data. When used effectively, data can create magical experiences in services and products we all use every day. But those experiences suffer whenever data is delayed, missing, or low quality. Nearly every major enterprise still struggles to keep their data pipelines reliable and to maintain data quality, and can no longer afford to sift through a mess of manually created data quality rules.

Some of the world’s largest enterprises—like Centene, Kenvue, and Williams-Sonoma—have realized they need a more scalable approach, and now use Bigeye’s industry-leading data observability platform to keep their mission critical data applications running smoothly. Our unmatched support for enterprise-oriented data sources, and industry-leading data lineage capabilities, give us a unique foundation from which to serve enterprise data teams.

The scale of this challenge is incredibly exciting: we already check over 2 million data quality attributes every day for our customers, but estimate that only 2% of the addressable market has made the switch to using data observability.

Come join us in the journey to serve the other 98%.

The Work

Today, we’re focused on the most impactful aspects of DataOps: observability and lineage.

Most teams still discover data outages – duplicated, missing, and unexpected data – after they impact application features, dashboards, ML models, and ultimately their stakeholders. We’re building a data observability platform to monitor their data content and alert them early so they can triage and respond instantly.

What you’ll be doing

• Design and develop product solutions to the needs of our enterprise customers

• Keep Bigeye reliable and performant as customers deploy it on hundred of tables, thousands of columns, and billions of rows

• Design and contribute to an engineering platform that keeps us iterating rapidly and efficiently

• Hone the team’s engineering best practices and shared toolset

• Collaborate with product managers and designers to research, design, and implement solutions

We’re currently working with

• Java

• MySQL

• Python

• REST APIs

• RabbitMQ

• Protobuf

• Datadog

• Docker

• AWS

What You Bring

• 3+ years of experience in Java.

• Experience working within a Service Oriented Architecture.

• Experience building or working with databases, ETL tools, BI tools, etc.

• Experience designing, building, and supporting a user-facing product.

• Proven track record of solving pressing customer problems in a fast paced environment

• Clear and straightforward communication. We’ll be moving fast and building some complex products together, so clarity and conciseness matters.

Salary Expectations

• Base salary of $150,000-$200,000, depending on experience and location

  • Curious about how we determined this range? Ask about our process!

Benefits

• Generous salary and equity opportunity

• Remote first - Live where you want in the US

• Flexible PTO to have fun and recharge

• Medical, Dental, Vision and Life Insurance to keep you healthy

• Dedicated Parental Leave to take care of new additions in your household

• 401k plan to help you save for the future

• Learning and Development stipend to help you grow in your career

• Receive an elite technology package to make work easier

Bigeye is an Equal Opportunity Employer and we will not tolerate discrimination or harassment of any sort. We do celebrate diversity and believe experience comes in different forms; many techniques are transferable; and passion goes a long way. Diversity in our team makes for more creative thinking, and ultimately a better product and company culture.

Even more important than your resume is a clear demonstration of impact, initiative, and the aptitude to thrive in a collaborative environment. Bigeye aspires to have an inclusive work environment; so if you are hard working & good at what you do then please come as you are. We want you to contribute, grow, & learn at Bigeye and we encourage you to apply if your experience is close to what we’re looking for.