Data Engineer
London, Boston, or 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.
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
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open Data Science Manager jobs
- Open MLOps Engineer jobs
- Open AI Engineer jobs
- Open Senior Business Intelligence Analyst jobs
- Open Sr Data Engineer jobs
- Open Data Engineer II jobs
- Open Data Manager jobs
- Open Principal Data Engineer jobs
- Open Power BI Developer jobs
- Open Data Analytics Engineer jobs
- Open Junior Data Scientist jobs
- Open Product Data Analyst jobs
- Open Data Scientist II jobs
- Open Senior Data Architect jobs
- Open Business Intelligence Developer jobs
- Open Sr. Data Scientist jobs
- Open Manager, Data Engineering jobs
- Open Big Data Engineer jobs
- Open Data Analyst Intern jobs
- Open Data Quality Analyst jobs
- Open Business Data Analyst jobs
- Open Data Product Manager jobs
- Open Junior Data Engineer jobs
- Open ETL Developer jobs
- Open Principal Data Scientist jobs
- Open Data quality-related jobs
- Open Business Intelligence-related jobs
- Open ML models-related jobs
- Open GCP-related jobs
- Open Data management-related jobs
- Open Privacy-related jobs
- Open Java-related jobs
- Open Finance-related jobs
- Open Data visualization-related jobs
- Open APIs-related jobs
- Open Deep Learning-related jobs
- Open PyTorch-related jobs
- Open Consulting-related jobs
- Open Snowflake-related jobs
- Open TensorFlow-related jobs
- Open PhD-related jobs
- Open CI/CD-related jobs
- Open NLP-related jobs
- Open Data governance-related jobs
- Open Kubernetes-related jobs
- Open Airflow-related jobs
- Open Hadoop-related jobs
- Open Databricks-related jobs
- Open LLMs-related jobs
- Open DevOps-related jobs