Full-Time

Senior / Staff Software Engineer

Database

Updated on 9/3/2026

Materialize

Materialize

51-200 employees

Real-time cloud data warehouse for analytics

Compensation Overview

$200k - $230k/yr

+ Equity

New York, NY, USA

In Person

Three or more days per week in person at the NYC office.

Category
Software Engineering (1)
Required Skills
Rust
Observability

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Requirements
  • You have several years of experience developing software, and are passionate about distributed systems and/or databases.
  • If you don’t use it already, you’re excited to learn Rust.
  • You take pride in owning your work all the way through. Whether it’s early design work, close code review, holding the pager, writing the docs, or teaching the system to your newest team member, you take responsibility for your work at every step.
  • You strive to make your work easy for others to understand. You write clear design docs and write clear, well-documented code. You love to take hard problems and make them simpler. And still simpler—until all of the complexity is boiled away.
  • You love to solve hard problems in service of the customer and you approach those hard problems from all perspectives. Some of your greatest engineering moments come from the times you solved problems by not writing any code.
  • You’re excited about working at the intersection of frontier academic research and the fast-paced realities of a venture-backed startup. You love the multidimensional problem of balancing engineering resilience, delivery speed, and product value.
  • You want to build something great.
Responsibilities
  • Design and deliver improvements to the Database, with an eye on correctness, reliability, and performance.
  • Own projects end-to-end, from early stage design to holding the pager.
  • Debug and resolve complex distributed systems issues, sometimes directly with customers.
  • Continually improve system reliability, observability, and automation.
  • Collaborate across your team, with Product, with Field Eng, and all other stakeholders to align on direction, carefully prioritize, and build the best product for our users.
  • Share your work through mentorship, demos, blog posts, and any other relevant channels.

Materialize provides a cloud-based operational data warehouse that delivers real-time, sub-second data updates to support immediate decision-making across business operations. It processes data with a streaming engine built on Timely Dataflow and Differential Dataflow, offering real-time analytics with strong consistency and an interactive SQL-like interface so teams can both analyze and act on data. Unlike traditional warehouses that rely on batch updates, Materialize targets minute-by-minute and even second-by-second changes to drive automation, alerts, and real-time features in user-facing apps, customer data platforms, and machine learning pipelines. Its goal is to help businesses operate with up-to-the-current data, enabling faster personalization, dynamic pricing, and instant reactions to changing conditions.

Company Size

51-200

Company Stage

Series C

Total Funding

$100.5M

Headquarters

New York City, New York

Founded

2019

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Simplify Jobs

Simplify's Take

What believers are saying

  • April 2026 product updates cut deploy times 37-55% and lowered memory use.
  • February 2026 performance gains lifted SELECT QPS 2.5x and reduced p99 latency 50%.
  • Materialize reported over $100 million funded and continues hiring with 15 open roles in 2026.

What critics are saying

  • Headcount fell from 113 in 2023 to 74 in March 2026.
  • Materialize still depends on one category: streaming infrastructure, where IBM bought a competitor in 2026.
  • If cloud adoption stalls, the company remains trapped below durable enterprise scale.

What makes Materialize unique

  • Materialize turns streaming data into SQL queries with strict serializability and low latency.
  • February 2026 updates added replacement materialized views and PostgreSQL compatibility improvements.
  • Its engine uses Timely Dataflow and Differential Dataflow for incremental computation.

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Benefits

Company Equity

Growth & Insights and Company News

Headcount

6 month growth

1%

1 year growth

1%

2 year growth

-5%
Business Wire
Mar 19th, 2024
Redpanda Serverless Delivers Powerful Streaming Data Platform As A Fully Managed Pay-As-You-Go Service

LONDON--(BUSINESS WIRE)--At Kafka Summit London, Redpanda announced the availability of Redpanda Serverless, a fully managed, pay-as-you-go edition of its powerful, cost-effective streaming data platform. Redpanda Serverless empowers developers to get started with streaming data in seconds and to automatically scale the service up or down to match their data workloads. As with all Redpanda products, Redpanda Serverless is fully Apache Kafka® API-compatible, ensuring it works with the complete Kafka ecosystem without requiring changes to application code. “The magic of Redpanda Serverless is its ability to create a globally available cluster in the blink of an eye,” said Redpanda CEO and founder Alex Gallego. “Engineered from the ground up for massive multi-tenancy, speed and performance, Redpanda Serverless is the most cost effective and simplest way to get started with streaming, whether you are a solo dev just getting started or an expert at a large enterprise looking to absorb spikes and scale to zero during downtime.”. With Redpanda Serverless, developers will be able to tap into the Redpanda streaming data ecosystem to build new real-time applications

VentureBeat
Jul 19th, 2023
Confluent Boosts Access To Real-Time Data With New Partner Program

Head over to our on-demand library to view sessions from VB Transform 2023. Register Here. Data streaming major Confluent has launched a ‘Connect with Confluent’ partner program to help technology providers like Google BigQuery and MongoDB enable faster access to real-time data streams through their products.The initiative will enable vendors to bring fully managed data streams directly to their customers through native integrations with Confluent Cloud. It also provides partners with access to technical, sales and marketing support to amplify go-to-market efforts and ensure their customers can make the most of real-time data at every stage and unlock new experiences for end users.“When companies can harness streams of real-time data from previously siloed teams and applications across their business, it creates a powerful network effect that opens new avenues for growth and innovation,” Erica Schultz, president of field operations at Confluent, said in a press statement. “As technology partners bring Confluent data streams directly into their platforms, they unlock potential for more cutting edge, real-time applications to be developed on their platform.” How will Connect with Confluent help?Enterprises are bullish on real-time data, with 89% of technology leaders saying investments in data streaming are important, while 44% cite the technology as a top strategic priority for their business. Even IDC predicts that nearly 30% of data generated by 2025 will be real-time

EnterpriseTalk
Oct 4th, 2022
Materialize Launches Improved Version of Its Streaming Database

Materialize Inc. has introduced new capabilities for its namesake streaming database, which makes it easier to build applications that process data in real time.

VentureBeat
Oct 3rd, 2022
Materialize’S ‘Distributed Database’ Mobilizes Streaming Data With The Simplicity Of Sql

Were you unable to attend Transform 2022? Check out all of the summit sessions in our on-demand library now! Watch here. New York-based Materialize today announced the early availability of the next generation of its distributed streaming database to help enterprises mobilize their real-time streaming data with SQL

Business Wire
Oct 3rd, 2022
Materialize Makes Using Real-Time Data As Simple As Batch With New Distributed Streaming Database

NEW YORK--(BUSINESS WIRE)--Materialize today announced early availability of its distributed streaming database, which enables immediate, widespread adoption of real-time data for applications, business functions, and other data products. In an industry first for streaming data, Materialize delivers in a single platform the separation of storage and compute, strict-serializability, active replication, horizontal scalability and workload isolation — all through a simple SQL interface available as a fully-managed cloud service. Materialize is now the fastest way to build products with streaming data, drastically reducing the time, expertise, cost and maintenance traditionally associated with implementation of real-time features. Until now, adopting real-time data has come with sky-high development costs and extreme complexity in implementation, yet still lacks the capabilities necessary to truly productionalize the resulting data products. However, working with streaming data is no longer a nice-to-have for high-performing companies, and in the next decade, companies will have to work with a real-time first approach to their data. Materialize, for the first time, gives users all the power of streaming data with the same simplicity and low implementation cost as batch cloud data warehouses