Crowdstrke

3 weeks 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: 7 hours agoStatus: Live

Job Summary

Architect and build robust data frameworks for Operational Data Store and Enterprise Data Lake platforms, translating business needs into scalable solutions. Own end-to-end data engineering lifecycles, delivering complex transformations with Python, DBT, SQL, and Apache Airflow while ensuring data quality through automated validation. Partner with Analytics, Sales, and Marketing to deliver curated datasets, manage CI/CD via GitHub, and support semantic layer integrations for analytics and insights.

Location: United States

Workplace: Remote

Employment Type: Full time

Job Function: Software Engineering

Seniority: Mid level

Key Responsibilities

•Lead end-to-end data engineering project lifecycle from requirement gathering through production deployment and monitoring.
•Design, develop, and maintain complex data transformations with strong performance and data quality.
•Build and maintain automated Airflow workflows to manage data dependencies.
•Implement CI/CD and version control practices using GitHub, including automated data validation processes.
•Partner with Analytics, Sales, and Marketing to build curated datasets that support strategic decision-making and semantic layer integrations.

Pay and Benefits

Salary: USD 85,000 - 120,000 annually

Perks:Health Insurance401kPaid LeaveEquityParental Leave

Key Requirements

•3+ years designing and developing complex automation frameworks, queries, and data modeling using SQL, Python, DBT, and Apache Airflow.
•Deep experience with scripting in Python and cloud database technologies such as Snowflake and/or Redshift for data ingestion and dissemination.
•Hands-on marketing data domain expertise, including campaign performance, lead and funnel stages, opportunity pipelines, and revenue attribution models.
•Ability to architect scalable DBT projects using advanced modeling, custom macros, Jinja-templated logic, and modular structures to enforce DRY principles.
•Advanced DBT lifecycle experience with CI/CD (e.g., Jenkins, GitLab CI/CD) and source control tools such as GitHub, plus strong data quality and issue resolution skills.

Experience:3+ years

Education:Bachelor's

Skills:CollaborationStakeholder managementProblem-solving

Tech Stack:PythonAirflowDBTSnowflakeRedshiftSQLApache AirflowJinjaCI/CDJenkinsGitLab CI/CDGitHubSemantic Layers

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

Loading job details...

Preparing the role view and application actions.

Crowdstrke

3 weeks 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: 7 hours agoStatus: Live

Job Summary

Location: United States

Workplace: Remote

Employment Type: Full time

Job Function: Software Engineering

Seniority: Mid level

Key Responsibilities

•Lead end-to-end data engineering project lifecycle from requirement gathering through production deployment and monitoring.
•Design, develop, and maintain complex data transformations with strong performance and data quality.
•Build and maintain automated Airflow workflows to manage data dependencies.
•Implement CI/CD and version control practices using GitHub, including automated data validation processes.
•Partner with Analytics, Sales, and Marketing to build curated datasets that support strategic decision-making and semantic layer integrations.

Pay and Benefits

Salary: USD 85,000 - 120,000 annually

Perks:Health Insurance401kPaid LeaveEquityParental Leave

Key Requirements

•3+ years designing and developing complex automation frameworks, queries, and data modeling using SQL, Python, DBT, and Apache Airflow.
•Deep experience with scripting in Python and cloud database technologies such as Snowflake and/or Redshift for data ingestion and dissemination.
•Hands-on marketing data domain expertise, including campaign performance, lead and funnel stages, opportunity pipelines, and revenue attribution models.
•Ability to architect scalable DBT projects using advanced modeling, custom macros, Jinja-templated logic, and modular structures to enforce DRY principles.
•Advanced DBT lifecycle experience with CI/CD (e.g., Jenkins, GitLab CI/CD) and source control tools such as GitHub, plus strong data quality and issue resolution skills.

Experience:3+ years

Education:Bachelor's

Skills:CollaborationStakeholder managementProblem-solving

Tech Stack:PythonAirflowDBTSnowflakeRedshiftSQLApache AirflowJinjaCI/CDJenkinsGitLab CI/CDGitHubSemantic Layers

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