Full-Time

Sr. Data Engineer

MegazoneCloud

MegazoneCloud

501-1,000 employees

AI-native multi-cloud orchestration and migration

Compensation Overview

$145k - $165k/yr

Frisco, TX, USA + 2 more

More locations: Rochester, NY, USA | Irvine, CA, USA

In Person

Category
Data & Analytics (1)
Required Skills
Python
SQL
AWS
Databricks
Snowflake

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Requirements
  • 5-8+ years of professional data engineering experience.
  • Deep, expert-level proficiency with Python.
  • Deep, expert-level proficiency with SQL.
  • Hands-on, expert-level experience with Databricks OR Snowflake (certifications or experience with both is a huge plus).
  • Expert-level experience building and managing data solutions on AWS.
  • Deep expertise in designing and architecting scalable data platforms.
  • Proven ability to lead complex, ambiguous projects from conception to delivery.
  • Experience mentoring other engineers and helping to level up the team.
  • A "builder" mindset, a startup mentality, and a genuine thirst for knowledge.
  • Exceptional communication skills and the flexibility to think fast.
Responsibilities
  • Architect, build, and lead: Architect and own scalable, high-performance data platforms and pipelines on AWS, not just maintain them.
  • Define the data ecosystem: Drive the strategy for our data environment, leveraging Databricks and/or Snowflake to create powerful, efficient data models.
  • Write and review critical code: Develop clean, optimized, and automated solutions using Python and SQL. Set the standard for code quality and mentor junior engineers.
  • Collaborate and multiply: Act as a key "force multiplier" within our cross-functional teams, leading ambiguous projects from conception to delivery.
  • Be a flexible leader: Embrace a "builder" mentality. In a startup, you'll have the flexibility to solve diverse challenges, and your voice will be critical in shaping our technical roadmap.
Desired Qualifications
  • Experience with GenAI, AI/ML frameworks, and MLOps.
  • Certifications in Databricks, Snowflake, or AWS.

Megazone Cloud provides AI-native digital transformation and managed cloud services for large enterprises. It builds full-stack multi-cloud orchestration architectures, migrates applications, and offers tailored consulting to optimize cloud systems. Its platform coordinates across providers using agentic AI networks, automated governance, and zero-trust security to transform legacy databases into modern cloud-native grids. Its differentiators include thousands of technical architects, integrated multi-cloud and AI orchestration, and governance-focused practices aimed at cost reductions and uptime, helping large public institutions and financial firms adopt next-gen IT, improve efficiency, and scale cost-effectively.

Company Size

501-1,000

Company Stage

Series C

Total Funding

$697.3M

Headquarters

Seoul, South Korea

Founded

1998

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Simplify Jobs

Simplify's Take

What believers are saying

  • 2025 revenue hit $1.16B with $5.4M net profit, enabling planned KOSPI IPO in 2026.
  • Google Cloud business surpassed $132.9M run rate while AI and security revenue hit $292.2M.
  • $398.5M capital funds agentic AI, AI security, and multi-cloud expansion to triple revenue by 2030.

What critics are saying

  • SK Telecom and KT entering as MSPs will erode domestic enterprise contracts by 2026–2027.
  • AWS and Google may bypass Megazone as reseller, cutting its $132.9M Google run rate and margins.
  • IPO failure in 2026 due to thin EBITDA will trigger Bain Capital exit pressure and dilutive financing.

What makes MegazoneCloud unique

  • MegazoneCloud is the first Korean MSP with ISO/IEC 42001 AI management certification.
  • Its proprietary WAVE platform delivers neutral-atom quantum computing via non-binding Pasqal MoU.
  • AIR Studio V2 and Agentic AI orchestration enable enterprise AI deployment across regulated sectors.

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Benefits

Hybrid Work Options

Growth & Insights

Headcount

6 month growth

-1%

1 year growth

-2%

2 year growth

0%