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5 часов назад

Data Engineer, Go To Market (Cybersecurity)

85 000 - 120 000$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify RU Global, списка компаний с восточно-европейскими корнями
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Описание вакансии

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TL;DR

Data Engineer, Go To Market (Python/Snowflake): Architecting and building robust data frameworks for Operational Data Store and Enterprise Data Lake platforms with an accent on GTM datasets and scalable data solutions. Focus on developing complex data transformations, automating workflows with Airflow, and ensuring high data quality for strategic decision-making.

Location: Remote (Must be based in the USA)

Salary: $85,000 - $120,000 per year

Company

hirify.global is a global leader in cybersecurity that protects organizations using an advanced AI-native platform.

What you will do

  • Lead the full lifecycle of data engineering projects, from requirement gathering to production deployment and monitoring.
  • Design and maintain complex data transformations using Python, Airflow, and DBT within Snowflake or similar Data Lakes.
  • Build and scale automated workflows using Apache Airflow to manage sophisticated data dependencies.
  • Implement CI/CD processes and rigorous version control using GitHub to ensure high engineering standards.
  • Establish automated data validation processes to ensure accuracy and integrity across all pipelines.
  • Partner with Analytics, Sales, and Marketing teams to create curated datasets for strategic insights.

Requirements

  • 3+ years of experience in data modeling, SQL, Python, DBT, and Apache Airflow.
  • Deep expertise in Cloud databases such as Snowflake or Redshift.
  • Hands-on experience with Marketing datasets, including campaign performance, funnel stages, and revenue attribution models.
  • Expertise in architecting scalable DBT projects using custom macros, Jinja-templated logic, and modular structures.
  • Proficiency in CI/CD pipelines (Jenkins, GitLab CI/CD) and source control tools (GitHub).
  • Bachelor's Degree in Computer Science, IT, Computer Engineering, or equivalent experience.

Nice to have

  • Experience with Marketing Automation tools such as Salesforce, Marketo, People.ai, or Outreach.
  • Understanding of machine learning concepts and ability to support feature store development.

Culture & Benefits

  • Market-leading compensation and equity awards.
  • Comprehensive physical and mental wellness programs.
  • Competitive vacation, holidays, and paid parental/adoption leave.
  • Professional development opportunities regardless of level or role.
  • Vibrant office culture with world-class amenities and diverse employee networks.

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