Data Engineer

London, Boston, or Remote

Applications have closed

Snyk

Snyk helps software-driven businesses develop fast and stay secure. Continuously find and fix vulnerabilities for npm, Maven, NuGet, RubyGems, PyPI and more.

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Every day, the world gets more digital thanks to tens of millions of developers building the future faster than ever. But with exponential growth comes exponential risk, as outnumbered security teams struggle to secure mountains of code. This is where Snyk (pronounced “sneak”) comes in. Snyk is a developer security platform that makes it easy for development teams to find, prioritize, and fix security vulnerabilities in code, dependencies, containers, and cloud infrastructure — and do it all right from the start. Snyk is on a mission to make the world a more secure place by empowering developers to develop fast and stay secure.

All roles listed as ‘remote’ are available as remote within the same country.

We’re looking for a passionate Data Engineer to join our Business Intelligence team to help build a culture of data-informed decision-making across the company.

You’ll partner with Snyk’s Engineering, GTM, and Product teams and analysts to generate business insights and inform good, efficient decision-making through data.

You know how to ensure data is accurate, well-organized, and accessible. You’ll use that knowledge to collaborate with internal stakeholders to shape the tools and infrastructure we use to support the data needs of our business. 

You’ll spend your time:

  • align architecture to business requirements specifically for our product-led growth efforts
  • working closely with product and BI analysts and developing sophisticated analytics via machine learning and statistical methods
  • prepare and maintain data sources for predictive analytics 
  • identifying ways to improve data quality and availability to analytic teams
  • evangelizing data use across the company

You should apply if you:

  • care deeply about helping others make data-driven decisions
  • have excellent SQL skills, experience in querying large, complex data sets 
  • have experience with data modeling, data warehousing, and building ETL pipelines
  • are familiar with statistical models and data mining algorithms
  • have excellent knowledge of Snowflake, dbt, Looker (or similar BI tools)
  • are a strong communicator; specifically, convey data infrastructure, data models, and data engineering solutions with both business and technical teams
  • are comfortable working in a globally distributed team across several time zones

We’d especially love to hear from you if have:

  • 3-5 years in data engineering or similar roles
  • experience providing technical leadership for best practices in data engineering
  • experience working in a startup environment
  • SaaS experience

Interested?

Please apply below! We care deeply about the warm, inclusive environment we’ve created, and we value diversity - we welcome applications from those typically underrepresented in tech. If you like the sound of this role, but are not totally sure whether you’re the right person, do apply anyway :-)

#LI-KT1 
#LI-Remote

We care deeply about the warm, inclusive environment we’ve created and we value diversity – we welcome applications from those typically underrepresented in tech. If you like the sound of this role but are not totally sure whether you’re the right person, do apply anyway!

 

About Snyk

Snyk is committed to creating an inclusive and engaging environment where our employees can thrive as we rally behind our common mission to make the digital world a safer place. From Snyk employee resource groups, to global benefits that help our employees prioritize their health, wellness, financial security, and a work/life blend, we aim to support our employees along their entire journeys here at Snyk.

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: Architecture Business Intelligence Data Mining Data quality Data Warehousing Engineering ETL Looker Machine Learning Pipelines Security Snowflake SQL Statistics

Perks/benefits: Career development Health care Startup environment Wellness

Regions: Remote/Anywhere Europe North America
Job stats:  14  3  0
Category: Engineering Jobs

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