
We stop breaches.
Data Engineer, Go to Market (Remote) at CrowdStrike
About the role
As a global leader in cybersecurity, Crowd Strike 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 Crowd Strike 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 Crowd Striker both the flexibility and autonomy to own their careers. We’re always looking to add talented Crowd Strikers 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:
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Lead the full lifecycle of data engineering projects, from initial requirement gathering with stakeholders to production deployment and monitoring.
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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.
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Build, scale, and maintain automated workflows using Apache Airflow to manage sophisticated data dependencies.
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Maintain high engineering standards through CI/CD implementation and rigorous version control using GitHub.
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Implement automated processes for data validation, ensuring high standards of data quality, accuracy, and integrity across all pipelines.
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Act as a technical partner to the Analytics, Sales, and Marketing teams, building curated datasets that drive strategic decision-making.
What You’ll Need:
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3+ years' experience in design & developing complex automation frameworks, queries, data modeling in SQL, Python, DBT, Apache Airflow.
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Deep Experience in scripting languages such as Python and Cloud database experience such as Snowflake, Redshift, etc. to facilitate rapid ingestion and dissemination of key data.
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Marketing Data Domain Expertise: Hands-on experience working with Marketing datasets including campaign performance data, lead, funnel stages and opportunity pipelines, and revenue attribution models.
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Expertise 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 enterprise.
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Advanced proficiency in the DBT lifecycle including CI/CD processes such as Jenkins, Gitlab CI/CD etc., and source control tools such as GitHub, etc.
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Experience identifying and solving issues concerning data management to improve data quality, and clean, prepare and optimize data for ingestion and consumption. You will work with your Data Engineering teammates to review design, code, and test plans to increase knowledge and application of key frameworks and methodologies.
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Work with internal and external stakeholders to assist with data-related technical issues and support data infrastructure needs.
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Proven experience integrating and managing business data from enterprise applications into Semantic Layers to decouple complex logic from the BI layer to drive analytics and insights.
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Bachelor's Degree in Computer Science, Information Technology, Computer Engineering, or related IT discipline; or equivalent experience.
Bonus Points:
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Marketing Automation Tools Knowledge: Experience with platforms such as Salesforce, Marketo, People.ai, Outreach and CRM systems for data integration and processing.
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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.
Benefits of Working at Crowd Strike:
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Market leader in compensation and equity awards
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Comprehensive physical and mental wellness programs
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Competitive vacation and holidays for recharge
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Paid parental and adoption leaves
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Professional development opportunities for all employees regardless of level or role
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Employee Networks, geographic neighborhood groups, and volunteer opportunities to build connections
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Vibrant office culture with world class amenities
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Great Place to Work Certified™ across the globe
Crowd Strike is proud to be an equal opportunity employer. We are committed to fostering a culture of belonging where everyone is valued for who they are and empowered to succeed. We support veterans and individuals with disabilities through our affirmative action program.
Crowd Strike is committed to providing equal employment opportunity for all employees and applicants for employment. The Company does not discriminate in employment opportunities or practices on the basis of race, color, creed, ethnicity, religion, sex (including pregnancy or pregnancy-related medical conditions), sexual orientation, gender identity, marital or family status, veteran status, age, national origin, ancestry, physical disability (including HIV and AIDS), mental disability, medical condition, genetic information, membership or activity in a local human rights commission, status with regard to public assistance, or any other characteristic protected by law. We base all employment decisions--including recruitment, selection, training, compensation, benefits, discipline, promotions, transfers, lay-offs, return from lay-off, terminations and social/recreational programs--on valid job requirements.
If you need assistance accessing or reviewing the information on this website or need help submitting an application for employment or requesting an accommodation, please contact us at recruiting@crowdstrike.com for further assistance.
Find out more about your rights as an applicant.
Crowd Strike participates in the E-Verify program.
Notice of E-Verify Participation
Crowd Strike, Inc. is committed to fair and equitable compensation practices. Placement within the pay range is dependent on a variety of factors including, but not limited to, relevant work experience, skills, certifications, job level, supervisory status, and location. The base salary range for this position for all U.S. candidates is $85,000 - $120,000 per year, with eligibility for bonuses, equity grants and a comprehensive benefits package that includes health insurance, 401k and paid time off.
For detailed information about the U.S. benefits package, please click here.
Required skills
Data engineering
ETL
Data modeling
Data quality
Data lakes
Scripting
Stakeholder management
Pipeline design
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About CrowdStrike

CrowdStrike
PublicCrowdStrike Holdings, Inc. is an American cybersecurity technology company based in Austin, Texas. It provides endpoint security, threat intelligence, and cyberattack response services.
5,001-10,000
Employees
Austin
Headquarters
$50B
Valuation
Reviews
2 reviews
3.1
2 reviews
Work-life balance
3.0
Compensation
4.0
Culture
3.5
Career
4.0
Management
3.5
65%
Recommend to a friend
Pros
Good management feedback and promotion opportunities
Competitive compensation
Positive work environment in sales
Cons
Quality assurance process gaps
High-impact code mistakes can cause financial losses
Uncertainty about company-wide consistency
Salary Ranges
14 data points
L2
L6
L3
L4
L5
L2 · Financial Analyst L2
0 reports
$102,887
total per year
Base
$41,155
Stock
$51,444
Bonus
$10,289
$72,021
$133,753
Interview experience
4 interviews
Difficulty
3.0
/ 5
Duration
14-28 weeks
Interview process
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Online Assessment
5
Onsite/Virtual Interviews
6
Offer
Common questions
Coding/Algorithm
Technical Knowledge
Behavioral/STAR
System Design
Past Experience
Latest updates
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