Data Engineer (Intermediate)

at  SecurityScorecard

ABOUT SECURITYSCORECARD:

SecurityScorecard is the global leader in cybersecurity ratings, with over 12 million companies continuously rated, operating in 64 countries. Founded in 2013 by security and risk experts Dr. Alex Yampolskiy and Sam Kassoumeh and funded by world-class investors, SecurityScorecard’s patented rating technology is used by over 25,000 organizations for self-monitoring, third-party risk management, board reporting, and cyber insurance underwriting; making all organizations more resilient by allowing them to easily find and fix cybersecurity risks across their digital footprint.
Headquartered in New York City, our culture has been recognized by Inc Magazine as a “Best Workplace,” by Crain’s NY as a “Best Places to Work in NYC,” and as one of the 10 hottest SaaS startups in New York for two years in a row. Most recently, SecurityScorecard was named to Fast Company’s annual list of the World’s Most Innovative Companies for 2023 and to the Achievers 50 Most Engaged Workplaces in 2023 award recognizing “forward-thinking employers for their unwavering commitment to employee engagement.” SecurityScorecard is proud to be funded by world-class investors including Silver Lake Waterman, Moody’s, Sequoia Capital, GV and Riverwood Capital.

REQUIREMENTS

• BS/MS in computer science or equivalent technical experience, and must have worked in Data engineering space for 3+ years
• Must have experience in full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations
• Technical requirements:
• Must have 2+ years experience in building and maintaining big data pipelines using Scala with Spark, Airflow, Hive, Presto, Redis
• Must have 2+ years experience with NoSQL databases, preferably Cassandra / Scylla and Clickhouse; and SQL databases, preferably Postgres
• Must have 2+ years experience in developing batch/real-time data streams
• Worked with CI/CD pipelines using Jenkins
• Experience with cloud environments, preferably AWS
• Worked with variety of data (structured/unstructured), data formats (flat files, XML, JSON, relational, parquet)
• Worked in Agile methodology

As a Senior Data Engineer - you will work alongside outstanding engineers to implement new products and features focused on meeting the evolving needs of our customers, while refining requirements with product management and collaborating cross-team. All our team members actively participate in product definition, technical architecture review, iterative development, code review, and operations. Along with this, you’ll have the opportunity to interact with customers to ensure their needs are met. You will be working in a high-performance, fast-paced environment, and contribute to an inclusive work environment.

Responsibilities:

• Lead and collaborate with engineers to deliver projects from inception to successful execution
• Write well-crafted, well-tested, readable, maintainable code
• Participate in code reviews to ensure code quality and distribute knowledge
• Share engineering support, release, and on-call responsibilities for an always-on 24x7 site
• Participate in Technical Design Review sessions, and have the ability to explain the various trade-offs made in decisions
• Maintain existing APIs and data pipelines, contribute to increasing code-coverage
• Understand requirements, build business logic and demonstrate ability to learn and quickly adopt
• Automate and improve existing processes to sustainably maintain the current features and pipelines
• Analyze our internal systems and processes, and locate areas for improvement/automation