Data Engineer

Data Analyst, Data Engineering & Analytics

About Company

About Role

• Implement data modeling best practices to enhance data accessibility and reporting capabilities.
• Ensure data integrity, security, and compliance with industry standards and regulations.
• Document plans and results in user-stories, issues, PRs, the team’s handbook - following the tradition of documentation first!
• Implement the Corp Data philosophy in everything you do.
• Craft code that meets our internal standards for style, maintainability, and best practices for a high-scale database environment. Maintain and advocate for these standards through code review.
• Collaborate with IT and DevOps teams to optimize cloud infrastructure and data governance policies.
• Manage and enhance the existing Tableau reporting suite, ensuring self-service analytics and actionable insights for stakeholders.
• Design, develop, and extend DBT code repository to extend the Enterprise Dimensional Warehouse capabilities and infrastructure
• Develop and maintain a single source of truth for business metrics, ensuring consistency across reporting platforms.
• Approve data model changes as a Data Team Reviewer and code owner for specific database and data model schemas.
• Provide data modeling expertise to all Rapid7 teams through code reviews, pairing, and training to help deliver optimal, DRY, and scalable database designs and queries in Snowflake and in Tableau.
• Research and implement emerging trends in data analytics, visualization, and engineering, bringing innovative solutions to the organization.
• Align to data governance frameworks, policies, and best practices, in collaboration with existing teams, policies, and governance frameworks.
• Identify and lead opportunities for new data initiatives, ensuring Rapid7 remains data-driven and insights-powered.
  

• Ability to thrive in a fast-paced hybrid organization.
• Comfort working in a highly agile, intensely iterative environment.
• Demonstrated capacity to clearly and concisely communicate complex business activities, technical requirements, and recommendations.
• 2+ years of experience in data engineering, analytics, or business intelligence.
• 2+ years experience designing, implementing, operating, and extending enterprise dimensional data models.
• 2+ years experience building reports and dashboards in Tableau and/or other similar data visualization tools.
• Experience in DBT modeling and understanding modular, performant models.
• Solid understanding of Snowflake, SQL, and data warehouse management.
• Understanding of ETL/ELT processes, data pipelines, and cloud-based data architectures.
• Familiarity with modern data stacks (DBT, Airflow, Fivetran, Matillion, or similar tools).
• Ability to manage data governance, security, and compliance requirements (SOC 2, GDPR, etc.).
• A passion for continuous learning, innovation, and leveraging data for business impact.
• An individual with a genuine passion for data visualisation and the art of data storytelling