Enterprise Data Specialist
2 months ago
About the Role
The Data Engineering practice at Rapid7 is growing rapidly, and we're investing in a bright, data-focused future. We're seeking an experienced data engineer to join our team and contribute to the development of our enterprise data infrastructure.
Key Responsibilities
- Design and implement data pipelines and infrastructure using modern tools such as Snowflake, Airflow, dbt, and AWS.
- Collaborate with senior engineers to drive software lifecycle, including hands-on development, testing, deployment, and documentation.
- Participate in scrum events, including sprint planning, retrospectives, and daily stand-ups.
- Productionize data through dev ops processes, 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-functional data initiatives.
Requirements
- BS in Computer Science, Analytics, Statistics, Informatics, Information Systems, or another 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.
- SQL fluency and data warehousing understanding required; working experience with a programming language is highly preferred.
- Working knowledge of modern data tools, such as Snowflake, dbt, Airflow, and AWS.
- Capable of taking well-defined tasks and completing them 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.
- Sharp business and interpersonal skills; able to effectively communicate status and escalate blockers.
- Team-player with a balance of independent and codependent work styles.
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