Senior Data Engineer

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SecurityScorecard

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2013

🔒 Cybersecurity

🏢 Enterprise

💰 $180M Series E on 2021-03

Cybersecurity • Enterprise

SecurityScorecard is a company that focuses on cybersecurity and risk management. It provides solutions for supply chain detection and response, third-party cyber risk management, and external attack surface management. By leveraging AI and security ratings, SecurityScorecard helps organizations improve their cybersecurity postures and manage risks effectively. The company's platform allows for monitoring and remediation of vulnerabilities, collaboration with vendors, and compliance with regulatory mandates. SecurityScorecard serves a diverse range of industries, including public sector, technology, healthcare, financial services, and more. Its comprehensive suite of tools and services, such as Security Ratings and MAX, empower organizations to proactively manage cyber risks and enhance their overall security structures.

📋 Description

• We are looking for a Senior Data Engineer who thrives on building commercial products and plays a key role in delivering reliable, scalable, and maintainable applications. • You will own projects end-to-end, collaborating with Product Managers to define requirements, implement solutions, and ensure ongoing success post-deployment. • You'll focus on simplicity while contributing technical insights to enhance the system's performance, stability, and user experience. • Participate in all stages of the software development life cycle, from design and development to deployment and maintenance. • Contribute to the product and technical roadmap by providing data-driven insights and articulating trade-offs between technical options and business goals. • Support and mentor junior engineers on the team through code reviews, pairing, and technical guidance. • 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.

🎯 Requirements

• 5+ years of experience working in the Data Engineering space, and with building and maintaining big data pipelines • 3+ 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. • Proficiency with version control tools, particularly Git, for collaborative development and code management.

🏖️ Benefits

• Competitive salary • Stock options • Health benefits • Unlimited PTO • Parental leave • Tuition reimbursements