Backend Engineer (Data Engineering)

Maze(2 months ago)

RemoteFull TimeSenior$100,000 - $160,000Engineering

About this role

As a Backend Engineer (Data Engineering) at Maze, you will lead the design and implementation of robust data pipelines and infrastructures that process vast amounts of security data, focusing on the complete data lifecycle from ingestion to transformation. You will work with technologies like Python, Apache Kafka, Apache Spark, and AWS services to ensure system reliability and scalability as the company grows. This role demands a strong software engineering background, with experience in building and optimizing production-grade data systems, particularly in environments dealing with massive datasets. You will collaborate closely with cross-functional teams to support AI capabilities aimed at enhancing cybersecurity efforts.

View Original Listing

Required Skills

Backend Engineering
Data Engineering
Build Production Data Pipelines
Architect Distributed Data Systems
Own Data Lifecycle
Enable Platform Scalability
Optimize Enterprise Scale
Drive Technical Excellence
Collaborate Cross-Functionally
Software Engineering Experience

+16 more

Qualifications

7+ years of software engineering experience
4+ years focused specifically on data engineering
Strong expertise with AWS data services including S3, EMR
Deep, hands-on production experience with Python
Hands-on experience with Apache Kafka
Hands-on experience with Apache Spark
Proven experience with Apache Iceberg
Experience building distributed data systems

About Maze

www.mazehq.com

Maze is an innovative security platform focused on vulnerability management that integrates advanced AI capabilities to autonomously assess and remediate cloud vulnerabilities. Unlike traditional systems relying on static rules, Maze utilizes agentic AI for dynamic decision-making, allowing it to effectively prioritize risks and eliminate false positives. Organizations utilize Maze to streamline their security operations, enhancing responsiveness to vulnerabilities and reducing the workload on their security teams. The platform aims to revolutionize vulnerability management by ensuring that critical weaknesses are identified and addressed promptly before attackers can exploit them.