Senior Analytics Engineer
Boston, US East Coast (Remote), Canada East Coast (Remote), London, UK (Remote)
Snyk
Snyk helps software-driven businesses develop fast and stay secure. Continuously find and fix vulnerabilities for npm, Maven, NuGet, RubyGems, PyPI and more.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.
Overview
We’re looking for a Senior Analytics Engineer to join our new group to help us build the future of customer-facing data products at Snyk.
Location: US (EST) / Canada (EST) or UK
You’ll spend your time:
- Building and maintaining the data mart that power our new customer-facing analytics product
- Talking to our customers, making sure we’re building a product they truly love
- Working across the stack to deliver new features from start-to-end
- Deploying new features to production
- Improving performance and overcoming scalability limits
- Collaborating with your team, planning the most important projects to work on next
You should apply if you:
- Have experience in designing, building, and deploying high quality data products
- Exposure and expertise working with dbt.
- Love working in a fast-paced start-up environment that respects its engineers and customers
- Love building new products and getting innovative!
- Have a good track record of project leadership and mentorship of software engineers
- Ensure a high-quality of code, that can be safely co-authored in a fast growing organization
- Feel comfortable working in a cross-functional team, working across the stack to deliver new features from start-to-end
- Communicate proactively and have a team-first mind-set
We’d especially love to hear from you if you:
- Have prior experience as an Analytics Engineer (or equivalent).
- Experience with SQL and git.
- Experience optimizing data models against specific performance targets
- Passion for building the best version of whatever you’re working on
- A track record of working autonomously, with strong organizational and time management skills
- A desire to continually keep up with advancements in data
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-JW1
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.
Benefits & Programs
Prioritize health, wellness, financial security, and life balance with programs tailored to your location and role.
- Flexible working hours, work-from home allowances, in-office perks, and time off for learning and self development
- Generous vacation and wellness time off, country-specific holidays, and 100% paid parental leave for all caregivers
- Health benefits, employee assistance plans, and annual wellness allowance
- Country-specific life insurance, disability benefits, and retirement/pension programs, plus mobile phone and education allowances
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Perks/benefits: Career development Flex hours Flex vacation Health care Home office stipend Insurance Parental leave Startup environment Wellness
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