Senior Software Data Engineer - VCP

As a Senior Software Data Engineer at CyberArk, your main responsibilities include practicing the software development life cycle in an agile-oriented environment, analyzing, designing, and developing new features and pipelines for our data platform, and exploring cutting-edge technologies to improve our solutions. You'll contribute to feature design and implementation, ensuring quality, supportability, scalability, and performance throughout the engineering cycles.

The ideal candidate for the Senior Software Data Engineer position at CyberArk should have a degree in Computer Science, Data Science, Math, Engineering, or a related field. Additionally, proficiency in SQL and 3+ years of experience with programming languages like Java or Go is required. Experience with database technologies such as Postgres or Redshift and knowledge of batch and stream processing tools like Flink or Kafka will also be beneficial.

In your role as a Senior Software Data Engineer at CyberArk, you will work with a variety of technologies including SQL for database management, Java or Go for backend processing, and data streaming tools like Apache Kafka. Familiarity with BI tools such as Tableau or PowerBI will also be advantageous, as these tools are essential for data visualization and reporting.

The work environment for a Senior Software Data Engineer at CyberArk is dynamic and collaborative, emphasizing agile methodologies. You will be part of an innovative team that values continuous improvement and encourages the exploration of new technologies. Team members are proactive, passionate about data, and committed to producing high-quality results, all while contributing to a culture of support and excellence.

CyberArk offers a competitive compensation package for Senior Software Data Engineers, which includes a salary range of $119,000 to $165,000 per year, plus commissions or discretionary bonuses based on performance. In addition to financial compensation, employees benefit from a comprehensive array of medical, dental, vision, and financial benefits aimed at promoting a healthy work-life balance.

When answering this question, focus on specific projects where you've utilized SQL to manage data. Highlight your ability to write complex queries, optimize database performance, and ensure data integrity. Discuss any experience you've had with database design or migrations as well.

In your response, outline your process for analyzing requirements, selecting the right technologies, and implementing best practices for data flow. Discuss your use of version control and testing to ensure high quality and reliability in the pipelines you develop.

Be sure to mention your proficiency with Java and Go. Elaborate on specific projects where you developed applications or data processing tasks with these languages, demonstrating your coding skills and problem-solving abilities.

Detail your familiarity with tools like Flink and Kafka. Provide examples of how you've implemented streaming solutions and batch processing in previous projects, discussing the challenges you faced and how you overcame them.

Discuss the performance metrics you monitor, any load testing you've performed, and your approach to optimizing resource usage. Highlight any techniques you've used to ensure that systems can scale efficiently when demand increases.

Emphasize your collaborative nature by sharing experiences where teamwork led to successful project outcomes. Discuss how you leverage the strengths of team members and engage in knowledge sharing to foster a positive and productive work environment.

Choose a relevant project that illustrates your problem-solving skills. Describe the challenges faced, your approach to addressing them, and the final outcome. Highlight the lessons you learned from the experience.

Talk about the resources you use, such as industry blogs, online courses, webinars, and any professional groups you belong to. Share how you've implemented new technologies into your work processes or proposed them to your team.

Discuss any projects where you utilized BI tools for data visualization and reporting. Highlight how these tools helped stakeholders make data-driven decisions and any specific dashboards or reports you created.

Share personal and professional motivations, such as your passion for solving complex problems, your drive for continuous learning, or your enthusiasm for making a tangible impact through data engineering. Connect these motivations back to the role at CyberArk.