Engineering Manager, Big Data

ZipRecruiter

WorldwideFully remoteFull TimeLeadInformation Technology
USD 190,000–240,000 a yearPosted 2mo ago

Why we think you can apply

Hiring model
Open worldwide · the employer states no country restriction
Work from
Anywhere, the UAE included

Posted 2 months ago · apply link checked 59 minutes ago

About the role

About the Company

ZipRecruiter is a leading online employment marketplace. Powered by AI-driven smart matching technology, the company actively connects millions of all-sized businesses and job seekers through innovative mobile, web, and email services.

Responsibilities

  • Own the mission, execution, morale, and code quality of your team
  • Partner effectively with product managers to maintain and execute against the product roadmap
  • Serve as a force multiplier for your team by removing roadblocks and implementing process improvements
  • Actively build community and culture throughout the engineering organization
  • Continually develop, coach, motivate, and improve your team
  • Champion and evolve innovation and evangelize BIG ideas

Requirements

  • 6+ years of experience in software development or data engineering environments
  • Experience building ETL pipelines at scale
  • 2+ years of experience as a Data Engineering leader
  • Experience designing, building, and supporting production-grade data pipelines

Preferred Qualifications

  • BS/MS/PhD in Mathematics, Computer Science, Physics, or a related technical field
  • 3+ years of experience owning data pipelines for machine learning models and AI powered features
  • Expertise using data to power products
  • Demonstrated experience innovating solutions to ambiguous problems

Benefits

  • Competitive compensation
  • Exceptional benefits package
  • Flexible Vacation & Paid Time Off
  • Employer-matched 401(k) plan

What we look for

  • 6+ years software development/data engineering experience
  • Experience building ETL pipelines at scale
  • 2+ years Data Engineering leadership experience
  • Experience with production-grade data pipelines
Big DataETLData Engineering
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