Rapid7 Data Engineer 

Czechia, Prague, Capital City of Prague 

507255107

In this role, you will:

• Build and maintain pipelines and infrastructure that ingest, analyze and store Rapid7's enterprise data using modern tools such as Snowflake, Airflow, dbt and AWS

• Work closely with senior engineers to drive software lifecycle including hands-on development, testing, deployment, and documentation

• Participate in scrum events include sprint planning, retrospectives and daily stand-ups

• Productionize data through dev ops processes (such as CICD) using containerization tools such as ECS

• Collaborate with stakeholders in product, business and IT to deliver high quality data products and assist with data-related technical issues

• Support large scale projects including major implementations, process improvements, and cross-function data initiatives

The skills you’ll bring include:

• BS in Computer Science, Analytics, Statistics, Informatics, Information Systems or

• another quantitative field or equivalent experience; Should have broad knowledge of core computer science / software engineering concepts.

• 2-3 years of experience in a data-focused required; specifically as a Data Engineer or highly technical Analytics Engineer

• SQL fluency and data warehousing understanding required; Working experience with a programming language is highly preferred

• Working knowledge with modern data tools such as Snowflake, dbt, Airflow, and AWS

• Capable of taking well-defined tasks and completing these tasks with minimal supervision

• General understanding of the SDLC including modern dev ops tools, code reviews, testing, and planning

• Strong work ethic, resiliency, persistence, and urgency; Data Engineering holds itself to a high standard so you’ll need to keep up!

• Sharp business and interpersonal skills; Should be able to effectively communicate status and escalate blockers

• Be a team-player! Data Engineering has a nice balance of independent vs codependent - One Moose!