Sr. Data Pipeline Engineer (Remote)

CrowdStrike

Remote

Quick summary

Work type
Remote
Location
Remote
Salary
$125,000–$180,000 / yr
Posted
3 days ago

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $173k
This role $152k
$115k most similar roles pay here $215k

This role pays less than 70% of similar roles. Most pay $141,637–$205,000 — the shaded band above. At the midpoint, this role pays about $152k 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 · Sr. Data Pipeline Engineer (Remote)

As a Sr. Data Pipeline Engineer at CrowdStrike, you will join a global team of data engineers tasked with building, scaling, and optimizing modern data ingestion and processing pipelines for enterprise use. Your day-to-day responsibilities include architecting large-scale data ingestion and transformation pipelines using Airflow, DBT, Python, Kafka streaming, and Snowflake, while also managing real-time and batch ingestion frameworks from various business systems like Salesforce, NetSuite, and Workday. You will ensure data quality through monitoring and alerting mechanisms, collaborate with data science teams on AI assistance bot integrations, and apply DevOps principles to maintain robust data governance standards in a high-growth SaaS environment.

What you'll do

  • Architect and oversee large-scale data ingestion and transformation pipelines using Airflow, DBT, Python, Kafka streaming, and Snowflake.
  • Design real-time and batch ingestion frameworks integrating data from various business systems and APIs.
  • Manage data integration and transformation from enterprise systems such as Salesforce (SFDC), NetSuite, Workday.
  • Drive data quality and reliability through monitoring, alerting, and proactive issue resolution.
  • Collaborate with data science teams to support AI assistance bot integrations and ML workflows.
  • Ensure engineering excellence by aligning data practices with DevOps principles and CI/CD automation.

What we're looking for

  • 12+ years of experience in designing and scaling data pipelines.
  • Expertise with Airflow, DBT, Python, Kafka streaming, and Snowflake for complex transformations.
  • Hands-on experience integrating data from Salesforce, NetSuite, Workday, and other business platforms.
  • Proven ability to work effectively across distributed analytics teams in multiple time zones.
  • Experience applying DevOps principles and CI/CD practices in data engineering environments.
  • Understanding of SaaS product telemetry, metadata management, and data governance standards.

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