Data Engineer II

3 weeks ago

Belfast, United Kingdom Rapid7 Full time

Rapid7 seeks a highly motivated Data Engineer II to join our rapidly expanding data engineering team.

We are at the forefront of a cultural shift towards a data-driven business, and our Data Engineering team serves as the central hub for all teams across Rapid7, from ML Ops and Sales to Operations, Platform, and Engineering.

About the Role:

As an aspiring Data Engineer II, you will play a crucial role in building and maintaining data pipelines and infrastructure that ingest, analyze, and store Rapid7's enterprise data using cutting-edge tools such as Snowflake, Airflow, dbt, and AWS.

You will collaborate closely with senior engineers to drive the entire software development lifecycle, including hands-on development, testing, deployment, and documentation.

Responsibilities:

  • Develop and maintain data pipelines and infrastructure for ingesting, analyzing, and storing Rapid7's enterprise data.
  • Collaborate with senior engineers on the full software development lifecycle, including coding, testing, deployment, and documentation.
  • Participate actively in scrum events such as sprint planning, retrospectives, and daily stand-ups.
  • Implement production-level data pipelines using DevOps processes (such as CI/CD) and containerization tools like ECS.
  • Work closely with stakeholders across product, business, and IT to deliver high-quality data products and provide technical support for data-related issues.
  • Contribute to large-scale projects, including major implementations, process improvements, and cross-functional data initiatives.

Qualifications:

  • Bachelor's degree in Computer Science, Analytics, Statistics, Informatics, Information Systems, or a related quantitative field, or equivalent experience.
  • 2-3 years of experience in a data-focused role, specifically as a Data Engineer or highly technical Analytics Engineer.
  • Strong SQL fluency and understanding of data warehousing concepts. Experience with programming languages is highly preferred.
  • Working knowledge of modern data tools such as Snowflake, dbt, Airflow, and AWS.
  • Ability to independently complete well-defined tasks with minimal supervision.
  • General understanding of the Software Development Lifecycle (SDLC), including DevOps practices, code reviews, testing, and planning.
  • Strong work ethic, resilience, persistence, and a sense of urgency.
  • Excellent business and interpersonal skills; ability to effectively communicate status updates and escalate blockers.

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