Senior Software Engineer, Data Platform - (Remote - US) - job 1 of 2

As a Senior Software Engineer, Data Platform at Jobgether, you will be responsible for designing and maintaining a scalable on-premises data platform. Your key tasks will involve supporting both OLAP/OLTP workloads and collaborating with cross-functional teams to align the platform with business needs. You’ll also focus on providing production-grade support, automating administrative tasks, troubleshooting performance issues, and implementing strong data security practices.

To qualify for the Senior Software Engineer, Data Platform role at Jobgether, you should possess a degree in Computer Science or have equivalent practical experience. Additionally, having at least 7 years of software engineering experience with a focus on data platforms is essential, along with proficiency in programming languages like Python, Java, or SQL. Experience with tools like Apache Spark, Kubernetes, and Terraform will also be critical for success in this role.

The hiring process for the Senior Software Engineer, Data Platform position at Jobgether includes an AI-powered 3-step screening process that selects the top 5 candidates based on a thorough analysis of their CV and LinkedIn profiles. This ensures that only the best matches are considered for the role, with manual reviews conducted as needed. Successful candidates can expect feedback within 7 days of applying.

Working as a Senior Software Engineer, Data Platform at Jobgether provides a flexible remote work environment that promotes inclusivity and innovation. The company culture emphasizes continuous learning and offers opportunities for personal and professional growth, making it an excellent environment for dynamic and forward-thinking engineers.

In the Senior Software Engineer, Data Platform role at Jobgether, you will work with a variety of tools and technologies such as Apache Spark, Kubernetes, Terraform, and more. Familiarity with object storage and open table formats like Iceberg and DeltaLake will also be advantageous, as these are critical for developing and maintaining the robust data platform you’ll be working on.

When answering this question, explain your understanding of both OLAP and OLTP systems, including their differences and use cases. Provide examples from your past work where you’ve successfully implemented or managed these systems, highlighting how you addressed performance or scalability challenges.

To effectively answer this question, discuss specific strategies you've implemented to identify and resolve bottlenecks. Highlight tools and techniques you have used, such as monitoring tools or performance tuning, and quantify improvements when possible to demonstrate the impact of your optimizations.

Discuss your proficiency in programming languages such as Python, Java, or SQL, and provide specific examples of projects or tasks where you utilized these languages. Focus on how your coding skills have contributed to enhancing data processing capabilities or automated tasks within a data platform.

Here, share a specific experience where you successfully worked with cross-functional teams. Emphasize your communication strategies, your role in gathering requirements, and how your contributions helped align the project with overarching business goals.

Outline your understanding of data security protocols and practices. Discuss specific measures you've implemented, such as encryption, access controls, or compliance standards, and how these contributed to the integrity and security of data in your previous projects.

For this question, describe your strategies for keeping up to date with the latest trends in data engineering. Mention resources such as tech blogs, courses, webinars, or professional networks. Highlight how this ongoing education helps you bring fresh ideas and technologies into your work.

In your response, pick a specific incident where you encountered a production issue and explain your troubleshooting process. Discuss how you identified the problem, the steps you took to resolve it, and measures you implemented to prevent similar issues in the future.

Discuss specific automation and monitoring tools you have experience with, such as Terraform or Prometheus. Explain your rationale for choosing these tools and how they have enhanced operational efficiencies within your past projects.

Describe your approach to prioritization, emphasizing methods like agile methodologies or any tools you use for task management. Provide examples of how this approach helped you successfully juggle multiple responsibilities while keeping projects on track.

Emphasize the importance of communication in your role by discussing how you ensure clarity when discussing technical concepts with non-technical stakeholders. Mention your strategies for facilitating daily stand-ups and effective team collaboration to ensure project success.