[Remote] Data Engineer, Go to Market (Remote)

Note: The job is a remote job and is open to candidates in USA. CrowdStrike is a global leader in cybersecurity, dedicated to stopping breaches with advanced AI-native platforms. The Data Engineer will be responsible for architecting and building data frameworks that support operational data needs, collaborating with stakeholders to deliver scalable data solutions.ResponsibilitiesLead the full lifecycle of data engineering projects, from initial requirement gathering with stakeholders to production deployment and monitoringDesign, 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 LakesBuild, scale, and maintain automated workflows using Apache Airflow to manage sophisticated data dependenciesMaintain high engineering standards through CI/CD implementation and rigorous version control using GitHubImplement automated processes for data validation, ensuring high standards of data quality, accuracy, and integrity across all pipelinesAct as a technical partner to the Analytics, Sales, and Marketing teams, building curated datasets that drive strategic decision-makingSkills3+ years' experience in design & developing complex automation frameworks, queries, data modeling in SQL, Python, DBT, Apache AirflowDeep Experience in scripting languages such as Python and Cloud database experience such as Snowflake, Redshift, etc. to facilitate rapid ingestion and dissemination of key dataMarketing Data Domain Expertise: Hands-on experience working with Marketing datasets including campaign performance data, lead, funnel stages and opportunity pipelines, and revenue attribution modelsExpertise in architecting scalable DBT projects using advanced modeling techniques, custom macros, complex Jinja-templated logic, and modular project structures to enforce DRY (Don't Repeat Yourself) principles across the enterpriseAdvanced proficiency in the DBT lifecycle including CI/CD processes such as Jenkins, Gitlab CI/CD etc., and source control tools such as GitHub, etcExperience identifying and solving issues concerning data management to improve data quality, and clean, prepare and optimize data for ingestion and consumptionWork with internal and external stakeholders to assist with data-related technical issues and support data infrastructure needsProven experience integrating and managing business data from enterprise applications into Semantic Layers to decouple complex logic from the BI layer to drive analytics and insightsBachelor's Degree in Computer Science, Information Technology, Computer Engineering, or related IT discipline; or equivalent experienceMarketing Automation Tools Knowledge: Experience with platforms such as Salesforce, Marketo, People.ai, Outreach and CRM systems for data integration and processingUnderstanding of machine learning concepts: Ability to collaborate with data science teams and support machine learning initiatives through data preparation, transformation and Feature store supportBenefitsEligibility for bonusesEquity grantsA comprehensive benefits package that includes health insurance, 401k and paid time offMarket leader in compensation and equity awardsComprehensive physical and mental wellness programsCompetitive vacation and holidays for rechargePaid parental and adoption leavesProfessional development opportunities for all employees regardless of level or roleEmployee Networks, geographic neighborhood groups, and volunteer opportunities to build connectionsVibrant office culture with world class amenitiesGreat Place to Work Certified™ across the globeCompany OverviewCrowdStrike is a cybersecurity technology firm that provides cloud-delivered protection for cloud workloads, identity, and data. It was founded in 2011, and is headquartered in Sunnyvale, California, USA, with a workforce of 5001-10000 employees. Its website is http://www.crowdstrike.com.