Staff Software Engineer (Data/Infrastructure)

UMATR; New York (NY); On-site; USD 225,000 - 275,000; Full time

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

Title: Senior Data Infrastructure Engineer – Distributed Analytics at Scale

What You’ll Do:

You’ll help design and build the core analytical data platform that powers a rapidly scaling, multi‑tenant product handling telemetry and time‑series data at massive scale.

The system already exists and is live – your work will focus on evolving it to support 10–100x growth without disruptive rewrites. This includes moving from a single primary data store toward a more flexible lakehouse‑style architecture, building scalable ingestion pipelines, and implementing new compute layers that run efficiently over data in object storage.

You’ll spend a lot of time deep in the system: profiling performance, tuning query engines, optimizing memory usage, and making architectural tradeoffs that balance short‑term delivery with long‑term scalability. This is a hands‑on role where you’ll ship production code, influence architectural direction, and help shape how the platform evolves over the next several years.

Who They Are:

Company Details:

This is a high‑growth engineering company building infrastructure for data‑intensive, mission‑critical systems. The product sits at the intersection of analytics, observability, and complex real‑world systems, and is used by customers who generate large volumes of high‑value telemetry data.

The team is collaborative and highly technical. They rely heavily on proven open‑source technology and care deeply about correctness, performance, and operational simplicity. The problems being solved are well understood in the industry – the challenge is executing them cleanly, efficiently, and at scale.

What Is In It For You:

• Competitive salary up to $250k plus sizeable equity
• Work on genuinely hard distributed systems and data problems
• High ownership and direct influence over core architecture
• Opportunity to scale a real production platform by orders of magnitude
• Collaborative, low‑bureaucracy engineering culture

Who You Are:

Requirements:

• 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
• Deep interest in performance: profiling, tuning, and understanding systems end‑to‑end
• Practical experience working with open‑source data technologies
• Proficiency in one or more systems or backend languages (Rust, C++, Java, Python)
• Comfortable making architectural tradeoffs and shipping incrementally rather than via big rewrites