The SecurityScorecard ratings platform helps enterprises across the globe manage the cyber security posture of their vendors. Our SaaS products have created a new category of enterprise software and our culture has helped us be recognized as one of the 10 hottest SaaS startups in NY for two years in a row. Our investors include both Sequoia and Google Ventures. We are scaling quickly but are ever mindful of our people and products as we grow.
This role will be based in our HQ in NYC, or remote (home office) i North America.
The Senior Data Analytics Engineer will build meaningful analytics that inform companies of security risk. You will be working closely with our Data Science team, implementing algorithms and managing the analytic pipeline. We have over 1 PB of data, so the ideal candidate will have experience processing and querying large amounts of data.
Manage the analytic pipeline using Spark, Hadoop, etc
Leverage cutting-edge technologies to support new and existing and services and processes.
Quickly and efficiently design and implement in an agile environment
Work with other team members to implement consistent architecture
Drive projects through all stages of development
Actively share knowledge and responsibility with other team members and teams
Improve the effective output of the engineering team by managing quality, and identifying inconsistencies.
Skills and Experience:
Bachelor's degree (CS, EE or Math preferred) or equivalent work experience as well as interest in a fast paced, complex environment.
5+ years of experience Scala or another functional language experience in a commercial environment (highly preferred)
3+ Experience with Spark, and the Hadoop ecosystem and similar frameworks
Familiarity with various tools such as AWS and Docker and an instinct for automation
Expert in SQL
Strong understanding of Software Architecture principles and patterns.
Experience working with 3rd party software and libraries, including open source
Experience with Postgres
Quick-thinker who takes ownership and pride in their work
A commitment and drive for excellence and continual improvement
A strong sense of adventure, excitement and enthusiasm.
Excellent systems analytical, problem solving and interpersonal skills