At Bigeye, our mission is making it a delight to work with data every day.
We built some of the most widely adopted tools at companies like Uber and saw how fast teams move when they have a great data toolchain. Now Bigeye is building best-of-breed tools for anyone who eats, sleeps, and breathes data: analysts, data scientists, and data engineers around the world.
The DevOps movement changed the world of working with infrastructure. The DataOps movement is just getting started. Come help us write the first chapter.
You’ll be an early engineer on our team, joining a powerhouse team of engineers, product designers, data scientists, and enterprise sales folks. You’ll not only help us build products that customers love using, you’ll help us build a team that people love working on.
Bigeye is people who Love solving problems and making others successful
Make their teammates happier when they’re around
Believe a diverse team is a competitive asset
Enjoy doing their best work and being accountable for it
Today, we’re focused on one of the most painful aspects of DataOps: observability and outages.
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 earliest 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 the design and data science teams to research, development, and implement solutions
We’re currently working with
What You Bring
5+ years of experience in Java (or another typed language).
Experience working within a Service Oriented Architecture.
Experience designing, building, and supporting a user-facing product.
A desire to learn and grow as an engineer.
Proven passion for uncovering and solving the real customer problem. We think this is the core of a successful product.
Excitement about being an early engineer. You’ll be defining our engineering best practices, choosing our shared tools, and helping us build a world-class team.
Clear and straightforward communication. We’ll be moving fast and building some complex products together, so clarity matters.
Solve real problems. Bigeye solves real problems for real data teams, and Bigeye Engineering prioritizes those problems above all else. Engineering must be equally aware of customer needs as sales and customer support, and constantly re-evaluate whether what we are building is relevant.
Use boring technology. Success comes from building great products that solve real challenges for customers, not from satisfying our own technical curiosities. If a solution for a problem exists internally, we leverage or extend the solution. If this is a new space, we evaluate existing external solutions before committing to building something from scratch.
Build fast, zoom out often. We make customers happy by solving their problems faster than anyone else can (including themselves!), and that means not getting crushed by our scale or complexity. Bigeye Engineering makes time to extract commonalities into the platform layer, pay down technical debt, and with more information around problem spaces, rethink designs and architectures, and rebuild when we have to.
Competitive salary and equity opportunity
Medical, Dental and Vision to keep you and your family healthy
Generous paid time off to have fun
Receive an elite technology package to make work easier
Stipend to make your home office more comfortable
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 skills are transferable; and passion goes a long way. Diversity in our team makes for better problem solving, more creative thinking, and ultimately a better product and company culture.
Even more important than your resume is a clear demonstration of impact, dedication, and the ability to thrive in a fast paced and collaborative environment. Bigeye strives 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.
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.
The Bigeye team consists of individuals with diverse experience who are passionate about solving the most complex problems facing data teams today.
Skip straight to final-round interviews by applying through Triplebyte.