Senior Data Infra Engineer - Scalable Analytics

UMATR

New York (NY)

On-site

USD 225,000 - 275,000

Full time

14 days+

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Benefits offered by this job

Competitive salary up to $250k plus sizeable equity
Opportunity to influence core architecture
Collaborative, low-bureaucracy culture

Job summary

A high-growth engineering company is seeking a Senior Data Infrastructure Engineer to design and build a core analytical data platform. You will tackle the challenges of scaling the system while ensuring performance and operational simplicity. This hands-on role requires strong experience in large-scale data infrastructure, distributed systems, and open-source technologies. The company offers competitive salaries up to $250k and equity, along with the opportunity to work on complex data problems within a collaborative environment.

Qualifications

  • Strong experience building or operating large-scale data infrastructure or analytics systems.
  • Hands-on background with distributed systems, databases, or query engines.
  • Experience scaling systems to support high-volume, multi-tenant workloads.

Responsibilities

  • Help design and build the core analytical data platform.
  • Profile performance, tune query engines, and optimize memory usage.
  • Ship production code and influence architectural direction.

Skills

Large‑scale data infrastructure
Distributed systems
Databases
Performance profiling
Open-source data technologies
Backend languages (Rust, C++, Java, Python)

Job description

A high-growth engineering company is seeking a Senior Data Infrastructure Engineer to design and build a core analytical data platform. You will tackle the challenges of scaling the system while ensuring performance and operational simplicity. This hands-on role requires strong experience in large-scale data infrastructure, distributed systems, and open-source technologies. The company offers competitive salaries up to $250k and equity, along with the opportunity to work on complex data problems within a collaborative environment.
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