SecurityScorecard is looking for a Senior Staff Data Engineer to build commercial products and deliver reliable, scalable, and maintainable applications, focusing on simplicity while enhancing system performance, stability, and user experience.
Requirements
- 10+ years of experience working in the Data Engineering space, and with building and maintaining big data pipelines
- 5+ years of experience working in agile environments (ideally Scrum), collaborating with cross-functional teams (engineering, design, product).
- Proficient in Spark
- Experience with strongly-typed languages (Java / Scala preferred)
- Experience designing, building, and maintaining RESTful APIs and integrating with external services.
- Participate in code reviews to ensure best practices, maintainability, and continuous improvement of the codebase.
- Ability to write and maintain unit and integration tests based on acceptance criteria, ensuring code quality and reliability.
Responsibilities
- Participate in all stages of the software development life cycle, from design and development to deployment and maintenance.
- Influence the product and technical roadmap by providing data-driven insights and articulating the trade-offs between technical options and business goals.
- Mentor other engineers on the team through code reviews, pairing, and technical guidance, raising the bar for the entire team.
- Follow clean code principles, using best practices to write secure, testable, and well-documented software.
- Work closely with a global team, including engineers and product managers to build a stable, high-performance platform.
- Implement comprehensive testing and performance tuning to ensure system stability and uptime.
- Write clean, maintainable code that adheres to best practices in readability, design patterns, reusability, and testing.
Other
- Lead projects from start to finish, collaborating with Product Managers to define requirements, implement solutions, and ensure ongoing success post-deployment.
- Translate requirements, estimate effort, and address or escalate blockers as needed.
- Own end-to-end projects, understanding and contributing to all aspects (infrastructure, application tiers, and data tiers).
- Continuously monitor performance metrics and recommend improvements or refactors.
- Make informed trade-off decisions between immediate delivery and long-term strategic goals.
