Crowdstrke

2 months ago

Data Engineer, Go To Market (Remote)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Seasoned data engineer to architect and build robust data frameworks for Go-To-Market analytics, partnering with Analytics, Sales, and Marketing to translate business needs into scalable data solutions. You’ll design and maintain complex transformations (Python, DBT, Airflow) on Snowflake/Redshift data lakes, enable CI/CD, and deliver curated datasets driving strategic decisions for marketing and sales.

Location: California

Workplace: Remote

Employment Type: Full time

Job Function: Data Analytics & Business Intelligence

Key Responsibilities

•Lead the full lifecycle of data engineering projects from requirements gathering with stakeholders to production deployment and monitoring.
•Design, develop and maintain complex data transformations ensuring high data quality and performance using 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, accuracy, and integrity across all pipelines.

Pay and Benefits

Salary: USD 100,000 - 155,000 annually

Equity and Bonus:Equity

Perks:Health Insurance401kPaid LeaveEquity

Key Requirements

•5+ years designing and developing complex automation frameworks, queries, and data modeling in SQL, Python, DBT, and Apache Airflow.
•Deep experience with Python and cloud databases such as Snowflake or Redshift to enable rapid data ingestion and dissemination.
•Marketing data domain expertise with hands-on experience in campaign performance data, leads, funnel stages, opportunity pipelines, and revenue attribution models.
•Expertise in architecting scalable DBT projects with advanced modeling techniques, custom macros, Jinja-templated logic, and modular project structures to enforce DRY principles.
•Advanced proficiency in the DBT lifecycle including CI/CD processes (Jenkins, Gitlab CI/CD) and GitHub.

Experience:5+ yearsMarketing dataData engineeringDbtAirflowPythonSnowflakeRedshift

Education:Bachelor's

Skills:PythonSQLDBTAirflowGitHubCI/CDJenkinsGitlab CI/CDSnowflakeRedshift

Tech Stack:PythonSQLDBTAirflowSnowflakeRedshiftGitHubJenkinsGitlab CI/CD

Company Brief

Crowdstrke

Provides cloud-native endpoint protection, threat intelligence, and security operations solutions that prevent breaches and stop sophisticated cyberattacks across endpoints, cloud workloads, identity, and APIs for enterprises worldwide.

Industry: Cybersecurity

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Sunnyvale, United States

Founded: 2011

Glassdoor: 4.4

Website LinkedIn

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Crowdstrke

2 months ago

Data Engineer, Go To Market (Remote)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Location: California

Workplace: Remote

Employment Type: Full time

Job Function: Data Analytics & Business Intelligence

Key Responsibilities

•Lead the full lifecycle of data engineering projects from requirements gathering with stakeholders to production deployment and monitoring.
•Design, develop and maintain complex data transformations ensuring high data quality and performance using 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, accuracy, and integrity across all pipelines.

Pay and Benefits

Salary: USD 100,000 - 155,000 annually

Equity and Bonus:Equity

Perks:Health Insurance401kPaid LeaveEquity

Key Requirements

•5+ years designing and developing complex automation frameworks, queries, and data modeling in SQL, Python, DBT, and Apache Airflow.
•Deep experience with Python and cloud databases such as Snowflake or Redshift to enable rapid data ingestion and dissemination.
•Marketing data domain expertise with hands-on experience in campaign performance data, leads, funnel stages, opportunity pipelines, and revenue attribution models.
•Expertise in architecting scalable DBT projects with advanced modeling techniques, custom macros, Jinja-templated logic, and modular project structures to enforce DRY principles.
•Advanced proficiency in the DBT lifecycle including CI/CD processes (Jenkins, Gitlab CI/CD) and GitHub.

Experience:5+ yearsMarketing dataData engineeringDbtAirflowPythonSnowflakeRedshift

Education:Bachelor's

Skills:PythonSQLDBTAirflowGitHubCI/CDJenkinsGitlab CI/CDSnowflakeRedshift

Tech Stack:PythonSQLDBTAirflowSnowflakeRedshiftGitHubJenkinsGitlab CI/CD

Company Brief

Crowdstrke

Industry: Cybersecurity

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Sunnyvale, United States

Founded: 2011

Glassdoor: 4.4

Website LinkedIn