Keebo is a venture-backed startup that offers a turnkey cloud-based Data Learning platform for automating and accelerating enterprise analytics. With the data warehousing market expected to grow to $51B annually by 2028, Keebo is an industry innovator, as the only fully-automated Snowflake optimizer, adjusting dynamically to save many customers 25% and more.
Built on state-of-the-art in machine learning and artificial intelligence, and over 15 years of cutting-edge research at top universities, Keebo reduces tedious and months-long manual operations to a matter of minutes, freeing up data teams to work on improving their core business. Our team is spread across the globe, supporting customers worldwide.
About the Opportunity
We are hiring a Database Research Engineer to design new cost-saving and performance-enhancing algorithms for our suite of data warehouse tooling products. You'll dive deep into variables that impact data warehouse performance, perform repeatable, mathematically rigorous experiments to determine impact to cost and performance, and create fast prototypes to prove or disprove hypotheses. You'll be at the forefront of innovation in a fast-moving startup, using your research, performance engineering, and data engineering skills to build cutting-edge advancements in the field of data warehouse performance.
You Will
- Partner with product to deeply understand customer needs with regards to data warehouse cost and performance
- Deeply research different parameters that impact database performance, and use findings to propose improvements to Keebo products
- Create rapid, tightly-scoped proofs of concept for algorithms to improve database performance and cost
- Mentor other engineers in database performance knowledge and rapid prototyping
You Have
- Significant experience delivering innovative improvements to analytical databases or a PhD in Database systems plus some experience delivering improvements to analytical databases
- Extensive experience with database performance tuning, including caching, dynamic scaling, etc.
- Experience with and a passion for researching different parameters that impact database performance
- Experience with and a passion for running methodical experiments, with controlled variables, and documented reproducibility
- Familiarity with data analysis and visualization tools
- Track record of rapidly prototyping ideas and building MVPs for customer feedback
- Experience partnering with product to turn customer requirements into well-specified, technical work, and mentoring other engineers to do the same
- Passion for mentoring engineers in database performance knowledge, rapid prototyping, and data engineering best practices
- Writes clean, high quality, well-documented, readable code, with good test coverage
- Extensive familiarity with SQL, databases, data warehouses, and big data processing tools
- Familiarity with cloud technologies and tools on cloud platforms
- Familiarity with modern CI/CD tools
- Skilled at communicating effectively in a distributed environment with people across multiple time zones
- Strong self-motivation, initiative, and adaptability
Nice to Have
- Prior experience at a startup
- Experience designing scalable, resilient, and reliable software architectures
- Experience with Java, Python, and Golang
Our Environment
Keebo is a fully remote, global team with team members currently in the US, EU, and Canada.
What we Offer
Working with a world-class team of researchers and engineers in machine learning to turn Al algorithms into scalable and automated cloud products
For full-time positions:
- Competitive salary packages
- Equity
- Home office stipend
- Comprehensive medical, dental, and vision benefits
- 401k retirement program
- Annual company offsite (this year the team met up in Cancún, Mexico!)
- Paid time off
- Paid parental leave
Keebo is proud to be an equal opportunity employer and prohibits discrimination and harassment of any kind. We are committed to providing equal employment opportunities to all employees and applicants without regard to race, color, religion, sex, gender, national origin, age, disability, genetic information, or any other protected characteristic. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. We strive to create a diverse and inclusive workplace where everyone feels valued and respected. We encourage individuals from all backgrounds to apply.
