Remote Otter LogoRemoteOtter

Data Engineering Team Lead - Remote

Posted 10 weeks ago
Software Development
Full Time
USA

Overview

Rad AI is on a mission to transform healthcare with artificial intelligence, focusing on revolutionizing radiology through AI-driven solutions that improve patient care and reduce burnout.

In Short

  • Lead the Data Engineering team to support client growth.
  • Manage a team of software engineers and collaborate cross-functionally.
  • Ensure feature development aligns with long-term KPI improvements.
  • Invest in individual growth and team quality delivery.
  • Chart strategic direction based on business metrics.
  • Provide clear feedback and empower team alignment.

Requirements

  • 7+ years of engineering experience, with 2+ years in management.
  • Experience leading cross-functional product engineering teams.
  • Ability to understand KPI and business metrics.
  • Experience in performance management and mentoring.
  • Proven ability to take action based on data.
  • Expertise in team growth and recruitment.
  • Ability to plan for obstacles and communicate risks.
  • Hands-on capability when needed.
  • Familiarity with data engineering best practices and tools.
  • Experience with cloud-based data warehouses and ETL/ELT processes.
  • Comfortable with DevOps practices.

Benefits

  • Comprehensive Medical, Dental, Vision & Life insurance.
  • HSA (with employer match), FSA, & DCFSA.
  • 401(k) plan.
  • 11 paid company holidays.
  • Location-flexibility (remote-first company).
  • Flexible PTO policy.
  • Annual company-wide offsite.
  • Periodic team offsites.
  • Annual equipment stipend.
Rad AI logo

Rad AI

Rad AI is a forward-thinking technology company specializing in artificial intelligence solutions for the healthcare industry. The company focuses on enhancing radiology workflows and improving patient outcomes through innovative AI-driven tools. With a commitment to leveraging cutting-edge technology, Rad AI aims to empower healthcare professionals and streamline processes, ultimately transforming the way medical imaging is utilized.

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