Staff Data Engineer

As a Staff Data Engineer at 2K, your primary responsibilities include designing and building data models to support Business Intelligence and Data Science initiatives, creating APIs for data integration, monitoring data pipelines, and collaborating with business partners and developers to document requirements for various projects.

To qualify for the Staff Data Engineer role at 2K, applicants should have a Master's or Bachelor's degree in Engineering or Mathematics and a minimum of 7 years of experience as a Data Engineer or Architect. Proficiency in Python, cloud environments, and data modeling methodologies is essential.

A Staff Data Engineer at 2K should have a strong understanding of programming languages, particularly Python, and should be familiar with technologies such as SQL, Kafka, AWS, and Databricks. Experience with big data platforms and APIs is also highly desirable.

The Staff Data Engineer position at 2K is onsite, and candidates must be local to either Austin, TX or Novato, CA. This allows for close collaboration with team members and stakeholders.

The pay range for the Staff Data Engineer position at 2K in California starts between $150,000 and $175,000 per year, based on market location and other individualized factors such as experience and skills.

When answering this question, highlight your experience with different data modeling methodologies like Kimball, Inmon, or Data Vault. Discuss specific projects where you successfully applied these techniques to solve data challenges, demonstrating your ability to choose the right model for the task at hand.

Mention the specific tools you’ve used, such as Apache Kafka, AWS Data Pipeline, or Apache Airflow. Emphasize your hands-on experience in building and monitoring data pipelines, including the challenges you faced and how you overcame them.

Describe your approach to maintaining data integrity and your familiarity with privacy and compliance practices like GDPR and CCPA. Discuss specific methods you employ to validate data and ensure it meets regulatory standards while also supporting business needs.

Prepare a specific example that outlines the challenges you faced, the technical solutions you implemented, and the outcomes of the project. Focus on the skills that are relevant to the Staff Data Engineer position at 2K, highlighting teamwork and innovation.

Discuss your experience in working with AWS, detailing the specific services you have utilized for data storage and processing. Mention any successful cloud-based projects and how they contributed to the organization’s overall goals.

Highlight your communication strategies for interacting with non-technical stakeholders, such as adapting technical language to suit their understanding. Provide examples of instances where effective communication led to successful project outcomes.

Emphasize your comfort level with programming languages pertinent to the job, particularly Python and SQL. Discuss your experience with these languages, including projects where they played a crucial role in data engineering tasks.

Explain any performance issues you've encountered in data pipelines, outlining the steps you took to identify and rectify the problems. Discuss the importance of monitoring and optimization in maintaining efficient data processes.

Share the resources you regularly consult, such as industry blogs, webinars, or online courses. Discuss your commitment to continuous learning and how applying newfound knowledge has impacted your work as a Data Engineer.

Express your passion for gaming and the positive impact data can have on enhancing player experiences. Discuss how you envision applying your data skills to influence game development and drive success at 2K.