Data Engineer II

Rapid7 seeks a highly motivated and inquisitive aspiring Data Engineer II to join our quickly scaling data engineering function. Come and join our efforts in unlocking the value of data through industry-leading innovation, cutting edge modern tooling, democratization at scale and building exceptional and trusted data products for the company! 

About the Team

As we spearhead a cultural shift to a data-driven business, Data Engineering serves as the Hub for all teams at Rapid7 from ML Ops, to Sales and Operations to Platform and Engineering. Our team is a highly skilled yet egoless group of data magicians (and humorists) with a penchant for innovation and a knack for problem solving. 

About the Role

The Data Engineering practice is growing quickly and we’re investing in a bright, data-focused future. We are seeking an aspiring data engineer to flourish and grow within our team. The ideal candidate has a solid foundational understanding of data engineering and software development concepts and best practices with some hands on experience preferred. Bring your courage, curiosity, problem solving skills, and technical chops!

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!

We know that the best ideas and solutions come from multi-dimensional teams. That’s because these teams reflect a variety of backgrounds and professional experiences. If you are excited about this role and feel your experience can make an impact, please don’t be shy - apply today.

 

About Rapid7

At Rapid7, we are on a mission to create a secure digital world for our customers, our industry, and our communities. We do this by embracing tenacity, passion, and collaboration to challenge what’s possible and drive extraordinary impact.
 

Here, we’re building a dynamic workplace where everyone can have the career experience of a lifetime. We challenge ourselves to grow to our full potential. We learn from our missteps and celebrate our victories. We come to work every day to push boundaries in cybersecurity and keep our 10,000 global customers ahead of whatever’s next.
 

Join us and bring your unique experiences and perspectives to tackle some of the world’s biggest security challenges.