As a global cybersecurity innovator, our organization safeguards the core technological infrastructure driving modern enterprises. Since our inception, our unwavering mission remains stopping digital breaches through an advanced AI-powered security platform. Our diverse clientele spans multiple sectors, relying on our solutions to maintain operational continuity, protect communities, and propel progress. We cultivate a purpose-driven culture empowering professionals with career autonomy and flexibility. We seek exceptional talent demonstrating boundless passion, relentless innovation, and passionate commitment to our customers and team. Eager to contribute to a transformative mission? The cybersecurity landscape's future begins with your expertise. About the Role: As a Senior Data Engineer, you will architect and construct reusable data integration components, frameworks, and libraries at enterprise scale to support Operational Data Store and Enterprise Data Lake Platforms. What You'll Do - Design, develop, and maintain scalable, automated, framework-driven data pipelines using Python, Airflow, Dbt, and cloud databases like Snowflake, RedShift - Implement data integration solutions for diverse sources including SFDC, Product Telemetry, NetSuite, ensuring data accuracy, consistency, and completeness - Collaborate closely with DevOps and data science teams to support platform automation requirements What You'll Need - 12+ years' experience designing data pipeline automation extracting data from Cloud API sources - Extensive expertise developing complex automation frameworks, queries, data modeling, and ETL processes using SQL, Python, DBT, Apache Airflow - Profound scripting language skills in Python and cloud database technologies like Snowflake, Redshift - Proficiency transforming structured and unstructured data - Experience with CI/CD processes and source control tools - Ability to identify and resolve data management challenges - Collaborative approach to reviewing design, code, and testing strategies - Proven track record integrating enterprise application data to drive analytics - Bachelor's Degree in Computer Science, Information Technology, or equivalent experience Benefits: - Remote-friendly work environment - Competitive compensation and equity - Comprehensive wellness programs - Attractive vacation policies - Paid parental leave - Professional development opportunities - Inclusive employee networking - Engaging organizational culture Our organization is an equal opportunity employer committed to fostering an inclusive workplace. We support diverse talents and provide equitable employment opportunities regardless of personal characteristics. Employment decisions are based solely on job-related requirements. Base salary range for U.S. candidates: $125,000 - $180,000 annually, with bonus and comprehensive benefits eligibility. Expected Close Date of Job Posting: 01-24-2026
Remote (Global) Full-time
CrowdStrike is hiring a Sr. Data Engineer (Remote)
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