Varos is a data sharing platform helping companies compare their KPIs to their peers. We recently participated in YC’s S21 batch and raised $4.2m Seed round from top-tier investors.

We're pioneering a new category of data analytics that’s challenging traditional taboos around cross-company collaboration. Varos’ platform helps its users understand their own performance vs. direct competitors by unlocking data that is currently stored in different silos. In fact, a growing base of hundreds of users are already automatically feeding marketing data to Varos’ platform, and in return seeing how they stack up against others in their space and stage. However, Varos is not planning to stop there, and is already planning its expansion across additional operative departments, such as finance, product, and sales.

Companies today are flying blind because they only rely on their own historical data and don’t know how their metrics compare to their competitors.

Founders includes the former CTO of Dun & Bradstreet ($15bn+ data company), an 8200 alum with 15 years experience building big data products and a former private equity investor.

Job Description

This is a ground floor opportunity to be one of the first engineers at Varos and shape our trajectory. You will experience what being at a scrappy startup is like. What you'll be doing described below one-day could look radically different the next. You will be empowered to identify opportunities that will help us grow and own it.

• Scope, design, implement, and own end-to-end feature sets.
• Help architect core parts of our infrastructure from the ground up in a reliable way.
• Have autonomy to identify, conceptualize, and launch new initiatives.
• Improve engineering standards, tooling, and processes.

This position comes with competitive cash compensation and above market amount of stock options

The Ideal Candidate

• 5+ years of experience working with modern programming languages like Python, Javascript, SQL, etc.
• Proven production experience with major cloud service providers such as AWS, GCP, or Azure.
• Experience building data pipelines
• Passion and ability to work well in a fast-paced, rapidly changing, and ambiguous environment.
• We don't care about college degrees, age, gender or anything else, just that you're a badass developer that wants to build something big

We have highly scalable data pipelines that process Terabytes of data every month, enrich data via integrations and enables zero latency queries all by maintaining data privacy. A large portion of the technical work is dealing with complex data normalization across companies and integrations, all in real-time.

Back-end mainly built with Python and SQL (using Snowflake and AWS). In the front-end, users gets a dashboard built in React.