Data Engineer, Go to Market (Remote)

CrowdStrike

Remote

Quick summary

Work type: Remote
Location: Remote
Salary: $85,000–$120,000 / yr
Posted: 9 days ago

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $173k

This role $102k

$70k most similar roles pay here $226k

This role pays less than 94% of similar roles. Most pay $135,187–$211,200 — the shaded band above. At the midpoint, this role pays about $102k versus about $173k for comparable roles.

Based on 240 similar postings.

Employer

About CrowdStrike

CrowdStrike is a leading American cybersecurity technology firm, specializing in cloud-native endpoint protection, threat intelligence, and incident response.

CrowdStrike currently has 27 open roles on FindRole.

Listed pay typically runs $125,000–$180,000 across 27 roles with salary data.

Most-posted roles

View all roles at CrowdStrike

At a glance

TL;DR · Data Engineer, Go to Market (Remote)

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Join our team as a seasoned Data Engineer to architect and build robust data frameworks for Operational Data Store and Enterprise Data Lake Platforms. You will lead the full lifecycle of data engineering projects, from requirement gathering to production deployment, using Python, Airflow, DBT, and databases like Snowflake. Responsibilities include designing complex data transformations, maintaining automated workflows with Apache Airflow, and ensuring high standards through CI/CD implementation in GitHub. As a technical partner to Analytics, Sales, and Marketing teams, you will build curated datasets for strategic decision-making. Ideal candidates have 3+ years of experience in scripting languages like Python, Cloud database expertise such as Snowflake, and deep knowledge of marketing data domains including campaign performance and revenue attribution models. Advanced proficiency in DBT lifecycle processes and CI/CD tools is essential, along with the ability to integrate business data from enterprise applications into semantic layers for analytics and insights. Bonus points for experience with marketing automation tools like Salesforce and Marketo, and understanding of machine learning concepts.

Skills

Python Apache Airflow DBT Snowflake GitHub CI/CD Jenkins GitLab CI/CD SQL Redshift Salesforce Marketo Outreach PostgreSQL Kubernetes Docker Prometheus Grafana

What you'll do

Lead the full lifecycle of data engineering projects from requirements to deployment.
Design and maintain complex data transformations using Python, Airflow, DBT, and Snowflake.
Build and scale automated workflows with Apache Airflow for sophisticated data dependencies.
Implement CI/CD processes and version control standards in GitHub.
Ensure high data quality through automated validation processes across all pipelines.

What we're looking for

3+ years experience in designing and developing complex automation frameworks using Python, SQL, DBT, Apache Airflow.
Deep expertise in cloud databases like Snowflake for rapid data ingestion and dissemination.
Marketing data domain expertise with hands-on experience in campaign performance analysis and revenue attribution models.
Advanced proficiency in architecting scalable DBT projects and implementing CI/CD processes.
Experience in identifying and solving issues to improve data quality, accuracy, and integrity across pipelines.
Bachelor's Degree in Computer Science or related field; equivalent experience also considered.

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