Data Engineering Manager / Snowflake / Real-time

Job summary

Lake Forest
Engineering

Work model

Hybrid · 3 days home
1 week ago
Job description

About the Company

This top eCommerce player quietly powers millions of businesses every day through technology, logistics, and data. They're known for long-term stability, strong leadership principles, and a culture that values pragmatic engineering over hype. Engineers here get the scale of a Fortune 500 with the autonomy to actually build.

About the Role

This is a true working-manager position, not a step away from the keyboard. The team is lean, senior, and trusted to set standards that other groups follow. If you enjoy building reusable platforms, mentoring engineers, and seeing your work drive measurable business outcomes, this role offers long-term impact without startup volatility.

Apply for more information!

Required Skills & Experience

  • BS in CS or related field
  • Direct people management experience
  • Hands-on experience with Kafka or real-time streaming architecture
  • Strong Python and SQL abilities
  • Experience with modern cloud systems
  • Experience supporting ML and analytics workloads in production

Desired Skills & Experience

  • Experience managing remote teams
  • Snowflake experience
  • eCommerce industry experience

What You Will Be Doing

Tech Breakdown

  • 35% Stream and Real-Time Data Platforms
  • 30% Orchestration & Data Pipelines
  • 20% Cloud Data Platforms & Warehousing
  • 15% Architecture, Tooling and Standards

Daily Responsibilities

  • 50% Hands-on Technical Leadership
  • 50% People Management & Mentoring

The Offer

  • 15% Bonus eligible

Benefits

  • Medical, Dental, and Vision Insurance
  • Generous PTO
  • 6% 401k contribution that vests immediately
  • Hybrid schedule with 2 days in office, 3 days work from home

Applicants must be currently authorized to work in the US on a full-time basis now and in the future.

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