Data Engineer, Sales Data Domain (Remote)

About this role

As a global leader in cybersecurity, CrowdStrike protects the people, processes and technologies that drive modern organizations. Since 2011, our mission hasn’t changed — we’re here to stop breaches, and we’ve redefined modern security with the world’s most advanced AI-native platform. Our customers span all industries, and they count on CrowdStrike to keep their businesses running, their communities safe and their lives moving forward. We’re also a mission-driven company. We cultivate a culture that gives every CrowdStriker both the flexibility and autonomy to own their careers. We’re always looking to add talented CrowdStrikers to the team who have limitless passion, a relentless focus on innovation and a fanatical commitment to our customers, our community and each other. Ready to join a mission that matters? The future of cybersecurity starts with you.

About the Role:

We are seeking a seasoned Data Engineer to join our team. You will be responsible for architecting and building robust data frameworks that empower Operational Data Store / Enterprise Data Lake Platforms. This role requires a blend of high-level technical expertise in modern data stacks and the ability to collaborate independently with stakeholders to translate business needs into scalable data solutions.

What You’ll Do:

• Lead the full lifecycle of data engineering projects, from initial requirement gathering with stakeholders to production deployment and monitoring.
• Design, develop and maintain complex data transformations, ensuring high data quality and performance using scripting languages like Python, Airflow, DBT and databases such as Snowflake or similar Data Lakes.
• Build, scale, and maintain automated workflows using Apache Airflow to manage sophisticated data dependencies.
• Maintain high engineering standards through CI/CD implementation and rigorous version control using GitHub.
• Implement automated processes for data validation, ensuring high standards of data quality, ...