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Senior Data Platform Engineer - Remote

Posted Yesterday
Data Analysis
Full Time
USA
$175,000 - $195,000 USD/year

Overview

As a Senior Data Engineer at Crunchbase, you will be responsible for architecting and implementing robust data solutions to support the growing needs of our organization, working collaboratively with cross-functional teams.

In Short

  • Design and implement scalable and efficient data solutions.
  • Build and optimize data pipelines for batch and real-time processing.
  • Maintain data models that align with business needs.
  • Collaborate with data scientists and analysts.
  • Implement monitoring solutions for performance issues.
  • Stay updated with industry trends and evaluate new tools.
  • Perform related duties as assigned.

Requirements

  • 4+ years of experience in data engineering.
  • Strong proficiency in Python.
  • Experience with data modeling and ETL processes.
  • Familiarity with cloud platforms (AWS, Azure, GCP).
  • Excellent problem-solving skills.
  • Strong communication skills.
  • Bachelor's degree in Computer Science or related field preferred.

Benefits

  • Competitive salary and equity options.
  • Remote-first policy.
  • Generous reimbursement for learning activities.
  • Monthly wellness stipend.
  • 14 weeks fully-paid time off.
  • Flexible PTO.
  • Comprehensive medical, vision, and dental benefits.
  • 401(k) plans with financial adviser check-ins.
  • Work from home allowance.
  • Matching charity contributions.

Crunchbase

Crunchbase

Crunchbase is a predictive intelligence platform that specializes in providing insights on private companies through a unique blend of live data, artificial intelligence, and market activity, serving over 80 million users. The company aims to empower investors, dealmakers, and analysts by predicting significant movements in the private market. Crunchbase is dedicated to fostering a diverse and inclusive workplace culture, emphasizing transparency and collaboration. With a remote-first approach, the company offers competitive salaries, generous paid time off, and a range of employee wellness benefits, making it an attractive place for talent looking to contribute to a data-driven environment.

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