Rapid7 seeks an experienced, highly driven, and dynamic Staff Data Engineer to take our data engineering function to the next level. 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 MLOps, 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
As a Staff Data Engineer, you will be responsible for the technical advancement of our data engineering function tackling our most complex challenges, mentoring our highly motivated core of data engineers and senior data engineers, and building strong partnerships with data consumers across the organization. You’ll have the liberty to drive business value through thought leadership and innovation as we continue to work towards the high standard we’ve set for ourselves - a best-in-class data platform.
In this role, you will:
Scope and stage larger scale initiatives into well-defined milestones to avoid a monolithic deliverables
Provide thought leadership and contribute to the vision of our data engineering function
Lead team processes such as on-call rotations, bug triage, technical direction, standards, and execution
Own delivery architecture/execution of major component(s) from conception to release
Looked up to for technical mentorship within the data engineering team. Make others better through code reviews, focus on documentation, and technical guidance
Act as a resource sought for technical advice and weigh in on technical decisions that impact other teams as well
Understand the tradeoffs between technical and business needs, interact and negotiate with key stakeholders, and deliver solutions that take all of these needs into account
Regularly take complex designs / codebases and simplify them without being asked
Regularly contribute improvements to team’s existing SDLC (ie: CICD) or other methods, programs, etc
The skills you’ll bring include:
6+ years of hands on data engineering experience and at least 2 years in a senior-level data engineering role
6+ years of experience in at least one programming language such as Python is required (Python is our most commonly used language); Advanced SQL expertise is required
Experience working in a modern lakehouse is required (Snowflake is preferred); Modern warehousing best practices should be second nature
Cloud experience is required (AWS is strongly preferred); Experience w/ IaC is required; Terraform is highly preferred
Hands on experience working with container services is required (ECS, Kubernetes, etc)
Experience working in a mature SDLC environment (ie: CICD) is preferred
Modern tech stack experience is a plus (dbt, Fivetran, Snowflake. Airflow)
Experience as a technical leader within a data engineering team and ability to mentor teammates
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; ability to influence at senior levels across business units to drive change and achieve common goals
BS or MS in Computer Science, Analytics, Statistics, Informatics, Information Systems or
another quantitative field or equivalent experience
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.
