Marketing Data Engineer (Remote)

#WeAreCrowdStrike and our mission is to stop breaches. As a global leader in cybersecurity, our team changed the game. Since our inception, our market leading cloud-native platform has offered unparalleled protection against the most sophisticated cyberattacks. We’re looking for people with limitless passion, a relentless focus on innovation and a fanatical commitment to the customer to join us in shaping the future of cybersecurity. Consistently recognized as a top workplace, CrowdStrike is committed to cultivating an inclusive, remote-first culture that offers people the autonomy and flexibility to balance the needs of work and life while taking their career to the next level. Interested in working for a company that sets the standard and leads with integrity? Join us on a mission that matters - one team, one fight.

About the Role:

The CrowdStrike Marketing Analytics team is seeking a talented and highly motivated Data Engineer who will power business strategy & execution by building clever system integrations, maintaining reliable data pipelines, and 

architecting scalable data solutions. This role requires close collaboration with Go-To-Market teams, IT, and Finance to establish optimized, source-of-truth datasets for cross-functional reporting. The ideal candidate considers themselves an engineer with a passion for creating technical solutions to solve business problems.

What You'll Do:

• Architect and develop scalable ETL/ELT pipelines to extract, transform, and load structured and unstructured data from multiple sources, ensuring efficient and reliable data flow.

• Build, optimize, and manage cloud-based data warehouses to handle large-scale data processing, storage, and retrieval with an emphasis on performance optimization.

• Develop and implement data integration solutions (both batch and near real time) with external systems and ensure seamless data exchange across platforms.

• Implement automated processes for data validation, ensuring high standards of data quality, accuracy, and integrity across all pipelines.

• Work closely with various teams (e.g., Data scientists, Marketing operations team, and business analysts) to understand data requirements, support analytics, and enable machine learning initiatives through data preparation.

• Collaborate with stakeholders to integrate data from various business systems, such as CRM and marketing automation platforms, ensuring that data is aligned with business processes and decision-making needs.

• Continuously monitor and fine-tune data workflows, SQL queries, and cloud resources to improve data processing performance, reduce latency, and optimize costs.

What You’ll Need:

• Bachelor’s degree in a STEM field.

• 5+ years of hands-on experience in data engineering.

• Expertise in SQL: Complex queries, optimization techniques, stored procedures, and automation of data workflows.

• Strong Python skills for data manipulation, automation (e.g., Pandas, PySpark), and scripting ETL workflows.

• Experience building highly scalable and robust data processes.

• Experience with cloud data warehouses: Snowflake (preferred), Redshift, BigQuery, or Azure Synapse, including performance tuning, partitioning, and clustering.

• API Integrations: Experience working with BULK and REST APIs to ingest data from third-party platforms and build robust integrations.

• Cloud Infrastructure Proficiency: AWS, GCP, or Azure, including services such as S3, Lambda, Glue, DataProc, DataFlow, or Cloud Functions.

• Data Orchestration & Automation Tools: Proficiency with Airflow, astronomer, or similar for automating and orchestrating ETL pipelines.

• Data Quality & Validation: Strong experience in building and automating data validation, quality checks, and error-handling pipelines.

Bonus Points:

• Marketing Automation Tools Knowledge: Experience with platforms such as Salesforce, Marketo, People.ai, Outreach  and CRM systems for data integration and processing.

• Experience with CI/CD pipelines for automating data pipeline deployments.

• Understanding of machine learning concepts: Ability to collaborate with data science teams and support machine learning initiatives through data preparation, transformation and Feature store support.

#LI-RC1
#LI-Remote

Benefits of Working at CrowdStrike:

• Remote-first culture

• Market leader in compensation and equity awards

• Competitive vacation and flexible working arrangements 

• Comprehensive and inclusive health benefits

• Physical and mental wellness programs

• Paid parental leave, including adoption 

• A variety of professional development and mentorship opportunities

• Offices with stocked kitchens when you need to fuel innovation and collaboration

Right to Work

CrowdStrike, Inc. is committed to fair and equitable compensation practices. The base salary range for this position in the U.S. is $95,000 - $155,000 per year + variable/incentive compensation + equity + benefits. A candidate’s salary is determined by various factors including, but not limited to, relevant work experience, skills, certifications and location.

Expected Close Date of Job Posting is:12-23-2024